wezzel98765 commited on
Commit
c51a63f
·
verified ·
1 Parent(s): 1071116

Upload 15 files

Browse files
.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
36
+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
chat_template.jinja ADDED
@@ -0,0 +1,329 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {%- set template_version = "qwen3.6-froggeric-v21.3" %}
2
+ {%- set _tool_format = tool_call_format if tool_call_format is defined else 'xml' %}
3
+ {%- set image_count = namespace(value=0) %}
4
+ {%- set video_count = namespace(value=0) %}
5
+ {%- set add_vision_id = add_vision_id if add_vision_id is defined else false %}
6
+ {%- set enable_thinking = enable_thinking if enable_thinking is defined else true %}
7
+ {%- set auto_disable_thinking_with_tools = auto_disable_thinking_with_tools if auto_disable_thinking_with_tools is defined else false %}
8
+ {%- set _preserve_thinking = preserve_thinking if preserve_thinking is defined else true %}
9
+ {%- set max_tool_arg_chars = max_tool_arg_chars if max_tool_arg_chars is defined else 0 %}
10
+ {%- set max_tool_response_chars = max_tool_response_chars if max_tool_response_chars is defined else 0 %}
11
+ {%- set _has_tools = (tools is defined and tools and tools is iterable and tools is not mapping) %}
12
+ {%- set ns_state = namespace(thinking=enable_thinking) %}
13
+ {%- if auto_disable_thinking_with_tools and _has_tools %}
14
+ {%- set ns_state.thinking = false %}
15
+ {%- endif %}
16
+ {%- macro render_content(content, do_vision_count, is_system_content=false) %}
17
+ {%- if content is string %}
18
+ {{- content }}
19
+ {%- elif content is iterable and content is not mapping %}
20
+ {%- for item in content %}
21
+ {%- if item is mapping %}
22
+ {%- if item.type == 'image' or 'image' in item or 'image_url' in item %}
23
+ {%- if is_system_content %}
24
+ {{- raise_exception('System message cannot contain images.') }}
25
+ {%- endif %}
26
+ {%- if do_vision_count %}
27
+ {%- set image_count.value = image_count.value + 1 %}
28
+ {%- endif %}
29
+ {%- if add_vision_id %}
30
+ {{- 'Picture ' ~ image_count.value ~ ': ' }}
31
+ {%- endif %}
32
+ {{- '<|vision_start|><|image_pad|><|vision_end|>' }}
33
+ {%- elif item.type == 'video' or 'video' in item %}
34
+ {%- if is_system_content %}
35
+ {{- raise_exception('System message cannot contain videos.') }}
36
+ {%- endif %}
37
+ {%- if do_vision_count %}
38
+ {%- set video_count.value = video_count.value + 1 %}
39
+ {%- endif %}
40
+ {%- if add_vision_id %}
41
+ {{- 'Video ' ~ video_count.value ~ ': ' }}
42
+ {%- endif %}
43
+ {{- '<|vision_start|><|video_pad|><|vision_end|>' }}
44
+ {%- elif 'text' in item %}
45
+ {{- item.text }}
46
+ {%- else %}
47
+ {{- raise_exception('Unexpected item type in content.') }}
48
+ {%- endif %}
49
+ {%- else %}
50
+ {{- item | string }}
51
+ {%- endif %}
52
+ {%- endfor %}
53
+ {%- elif content is none or content is undefined %}
54
+ {{- '' }}
55
+ {%- else %}
56
+ {{- raise_exception('Unexpected content type.') }}
57
+ {%- endif %}
58
+ {%- endmacro %}
59
+ {%- if not messages %}
60
+ {{- raise_exception('No messages provided.') }}
61
+ {%- endif %}
62
+ {%- set _first_role = messages[0].role %}
63
+ {%- if _first_role == 'system' or _first_role == 'developer' %}
64
+ {%- set _sys_msg = messages[0] %}
65
+ {%- set _msgs = messages[1:] %}
66
+ {%- else %}
67
+ {%- set _sys_msg = none %}
68
+ {%- set _msgs = messages %}
69
+ {%- endif %}
70
+ {%- set _sc = '' %}
71
+ {%- if _sys_msg is not none %}
72
+ {%- set _sc = render_content(_sys_msg.content, false, true) | trim %}
73
+ {%- if '<|think_off|>' in _sc %}
74
+ {%- set ns_state.thinking = false %}
75
+ {%- set _sc = _sc.split('<|think_off|>') | join('') | trim %}
76
+ {%- elif '<|think_on|>' in _sc %}
77
+ {%- set ns_state.thinking = true %}
78
+ {%- set _sc = _sc.split('<|think_on|>') | join('') | trim %}
79
+ {%- endif %}
80
+ {%- endif %}
81
+ {%- if _has_tools %}
82
+ {{- '<|im_start|>system\n' }}
83
+ {{- '# Tools\n\nYou have access to the following functions:\n\n<tools>' }}
84
+ {%- for tool in tools %}
85
+ {{- '\n' }}
86
+ {{- tool | tojson }}
87
+ {%- endfor %}
88
+ {{- '\n</tools>' }}
89
+ {%- set tool_instructions %}
90
+ If you choose to call a function ONLY reply in the following format with NO suffix:
91
+
92
+ {%- if _tool_format == 'json' %}
93
+ <think>
94
+ Brief explanation of tool call
95
+ </think>
96
+ <tool_call>
97
+ {"name": "example_function_name", "arguments": {"example_parameter_1": "value_1", "example_parameter_2": "This is the value for the second parameter"}}
98
+ </tool_call>
99
+ {%- else %}
100
+ <think>
101
+ Brief explanation of tool call
102
+ </think>
103
+ <tool_call>
104
+ <function=example_function_name>
105
+ <parameter=example_parameter_1>
106
+ value_1
107
+ </parameter>
108
+ <parameter=example_parameter_2>
109
+ This is the value for the second parameter
110
+ that can span
111
+ multiple lines
112
+ </parameter>
113
+ </function>
114
+ </tool_call>
115
+ {%- endif %}
116
+
117
+ <IMPORTANT>
118
+ Reminder:
119
+ - You can use the <think></think> block to plan your next tool call OR to synthesize data and formulate your final response to the user.
120
+ - ALL explanation and reasoning MUST be placed strictly inside the <think></think> block.
121
+ {%- if _tool_format == 'json' %}
122
+ - Function calls MUST follow the specified format: a single JSON object with "name" and "arguments" keys inside <tool_call></tool_call> XML tags.
123
+ {%- else %}
124
+ - Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags.
125
+ {%- endif %}
126
+ - If you choose to call a tool, you MUST output the <tool_call> block IMMEDIATELY after thinking, with NO conversational text before it.
127
+ {%- if _tool_format == 'json' %}
128
+ - The <tool_call> tag MUST be at the very beginning of a new line, with NO spaces or indentation before it.
129
+ {%- else %}
130
+ - The <tool_call> and <function> tags MUST be at the very beginning of a new line, with NO spaces or indentation before them.
131
+ {%- endif %}
132
+ - To call multiple functions, output a separate, completely closed <tool_call></tool_call> block for EACH function. Do NOT nest <tool_call> blocks.
133
+ - If you have all necessary data, provide your final answer directly to the user without any tool call.
134
+ </IMPORTANT>
135
+ {%- endset %}
136
+ {{- '\n\n' ~ tool_instructions | trim }}
137
+ {%- if _sc %}
138
+ {{- '\n\n' + _sc }}
139
+ {%- endif %}
140
+ {{- '<|im_end|>\n' }}
141
+ {%- else %}
142
+ {%- if _sc %}
143
+ {{- '<|im_start|>system\n' + _sc + '<|im_end|>\n' }}
144
+ {%- endif %}
145
+ {%- endif %}
146
+ {%- set _last_idx = _msgs | length - 1 %}
147
+ {%- set ns = namespace(multi_step_tool=true, last_query_index=_last_idx) %}
148
+ {%- for message in _msgs[::-1] %}
149
+ {%- set index = (_msgs | length - 1) - loop.index0 %}
150
+ {%- if ns.multi_step_tool and message.role == 'user' %}
151
+ {%- set _rc = render_content(message.content, false) | trim %}
152
+ {%- if not (_rc.startswith('<tool_response>') and _rc.endswith('</tool_response>')) %}
153
+ {%- set ns.multi_step_tool = false %}
154
+ {%- set ns.last_query_index = index %}
155
+ {%- endif %}
156
+ {%- endif %}
157
+ {%- endfor %}
158
+ {%- if ns.multi_step_tool %}
159
+ {%- if _last_idx > 50 %}
160
+ {%- set ns.last_query_index = _last_idx %}
161
+ {%- else %}
162
+ {%- set ns.last_query_index = 0 %}
163
+ {%- endif %}
164
+ {%- endif %}
165
+ {%- set ns2 = namespace(prev_role='', consecutive_failures=0) %}
166
+ {%- for message in _msgs %}
167
+ {%- set is_system = (message.role == "system" or message.role == "developer") %}
168
+ {%- set content = render_content(message.content, true, is_system) | trim %}
169
+ {%- if is_system or message.role == 'user' %}
170
+ {%- if '<|think_off|>' in content %}
171
+ {%- set ns_state.thinking = false %}
172
+ {%- set content = content.split('<|think_off|>') | join('') | trim %}
173
+ {%- elif '<|think_on|>' in content %}
174
+ {%- set ns_state.thinking = true %}
175
+ {%- set content = content.split('<|think_on|>') | join('') | trim %}
176
+ {%- endif %}
177
+ {%- endif %}
178
+ {%- if is_system %}
179
+ {{- '<|im_start|>system\n' + content + '<|im_end|>\n' }}
180
+ {%- elif message.role == 'user' %}
181
+ {%- set ns2.consecutive_failures = 0 %}
182
+ {{- '<|im_start|>user\n' + content + '<|im_end|>\n' }}
183
+ {%- elif message.role == 'assistant' %}
184
+ {%- set reasoning_content = '' %}
185
+ {%- if message.reasoning_content is defined and message.reasoning_content is not none %}
186
+ {%- if message.reasoning_content is string %}
187
+ {%- set reasoning_content = message.reasoning_content %}
188
+ {%- else %}
189
+ {%- set reasoning_content = message.reasoning_content | string %}
190
+ {%- endif %}
191
+ {%- elif message.thinking is defined and message.thinking is not none %}
192
+ {%- if message.thinking is string %}
193
+ {%- set reasoning_content = message.thinking %}
194
+ {%- else %}
195
+ {%- set reasoning_content = message.thinking | string %}
196
+ {%- endif %}
197
+ {%- else %}
198
+ {%- set _think_end = '' %}
199
+ {%- if content.startswith('</think>') %}
200
+ {%- set _think_end = '</think>' %}
201
+ {%- elif content.startswith('</thinking>') %}
202
+ {%- set _think_end = '</thinking>' %}
203
+ {%- elif '\n</think>' in content %}
204
+ {%- set _think_end = '\n</think>' %}
205
+ {%- elif '\n</thinking>' in content %}
206
+ {%- set _think_end = '\n</thinking>' %}
207
+ {%- elif '\n</ think>' in content %}
208
+ {%- set _think_end = '\n</ think>' %}
209
+ {%- elif '\n</think >' in content %}
210
+ {%- set _think_end = '\n</think >' %}
211
+ {%- endif %}
212
+ {%- if _think_end %}
213
+ {%- if 'thinking' in _think_end %}
214
+ {%- set _think_start = '<thinking>' %}
215
+ {%- else %}
216
+ {%- set _think_start = '<think>' %}
217
+ {%- endif %}
218
+ {%- set reasoning_content = content.split(_think_end)[0].rstrip('\n') %}
219
+ {%- if _think_start in reasoning_content %}
220
+ {%- set reasoning_content = reasoning_content.split(_think_start)[-1].lstrip('\n') %}
221
+ {%- endif %}
222
+ {%- set content = content.split(_think_end)[-1].lstrip('\n') %}
223
+ {%- endif %}
224
+ {%- endif %}
225
+ {%- set reasoning_content = reasoning_content | trim %}
226
+ {%- if (_preserve_thinking or loop.index0 > ns.last_query_index) and reasoning_content %}
227
+ {{- '<|im_start|>assistant\n<think>\n' + reasoning_content + '\n</think>\n\n' + content }}
228
+ {%- else %}
229
+ {{- '<|im_start|>assistant\n' + content }}
230
+ {%- endif %}
231
+ {%- if message.tool_calls is defined and message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
232
+ {%- for tool_call in message.tool_calls %}
233
+ {%- if tool_call.function is defined and tool_call.function is not none %}
234
+ {%- set tc = tool_call.function %}
235
+ {%- else %}
236
+ {%- set tc = tool_call %}
237
+ {%- endif %}
238
+ {%- if _tool_format == 'json' %}
239
+ {%- if not loop.first or content | trim %}
240
+ {{- '\n\n' }}
241
+ {%- endif %}
242
+ {%- set _args = '{}' %}
243
+ {%- if tc.arguments is defined and tc.arguments is not none %}
244
+ {%- if tc.arguments is mapping %}
245
+ {%- set _args = tc.arguments | tojson %}
246
+ {%- elif tc.arguments is string and tc.arguments %}
247
+ {%- set _args = tc.arguments %}
248
+ {%- endif %}
249
+ {%- endif %}
250
+ {{- '<tool_call>\n{"name": ' }}{{- tc.name | tojson }}{{- ', "arguments": ' }}{{- _args }}{{- '}\n</tool_call>' }}
251
+ {%- else %}
252
+ {%- if loop.first %}
253
+ {%- if content | trim %}
254
+ {{- '\n\n<tool_call>\n<function=' + tc.name + '>\n' }}
255
+ {%- else %}
256
+ {{- '<tool_call>\n<function=' + tc.name + '>\n' }}
257
+ {%- endif %}
258
+ {%- else %}
259
+ {{- '\n\n<tool_call>\n<function=' + tc.name + '>\n' }}
260
+ {%- endif %}
261
+ {%- if tc.arguments is defined and tc.arguments is not none %}
262
+ {%- if tc.arguments is mapping %}
263
+ {%- for args_name, args_value in tc.arguments.items() %}
264
+ {{- '<parameter=' + args_name + '>\n' }}
265
+ {%- if args_value is mapping or (args_value is sequence and args_value is not string) %}
266
+ {%- set _av = args_value | tojson %}
267
+ {%- else %}
268
+ {%- set _av = args_value | string %}
269
+ {%- endif %}
270
+ {%- if max_tool_arg_chars > 0 and _av | length > max_tool_arg_chars %}
271
+ {{- _av[:max_tool_arg_chars] + '\n[TRUNCATED — original length ' ~ (_av | length | string) ~ ' chars]' }}
272
+ {%- else %}
273
+ {{- _av }}
274
+ {%- endif %}
275
+ {{- '\n</parameter>\n' }}
276
+ {%- endfor %}
277
+ {%- elif tc.arguments is string and tc.arguments %}
278
+ {{- tc.arguments }}
279
+ {%- endif %}
280
+ {%- endif %}
281
+ {{- '</function>\n</tool_call>' }}
282
+ {%- endif %}
283
+ {%- endfor %}
284
+ {%- endif %}
285
+ {{- '<|im_end|>\n' }}
286
+ {%- elif message.role == 'tool' %}
287
+ {%- set _content_lower = content | lower %}
288
+ {%- set _content_head = _content_lower[:80] %}
289
+ {%- if content | length < 500 and '$ ' not in content and 'took ' not in _content_lower and ('"error":' in _content_head or 'error:' in _content_head or 'err!' in _content_head or 'fatal:' in _content_head or 'exception:' in _content_head or 'traceback' in _content_head or 'command not found' in _content_head or 'invalid syntax' in _content_head or 'failed to' in _content_head) %}
290
+ {%- set ns2.consecutive_failures = ns2.consecutive_failures + 1 %}
291
+ {%- else %}
292
+ {%- set ns2.consecutive_failures = 0 %}
293
+ {%- endif %}
294
+ {%- if ns2.prev_role != 'tool' %}
295
+ {{- '<|im_start|>user' }}
296
+ {%- endif %}
297
+ {%- if max_tool_response_chars > 0 and content | length > max_tool_response_chars %}
298
+ {%- set content = content[:max_tool_response_chars] + '\n[TRUNCATED — original length ' ~ (content | length | string) ~ ' chars]' %}
299
+ {%- endif %}
300
+ {{- '\n<tool_response>\n' + content }}
301
+ {%- if ns2.consecutive_failures >= 2 %}
302
+ {{- '\n\n⚠️ SYSTEM WARNING: ' ~ ns2.consecutive_failures ~ ' consecutive tool errors detected. Your previous approach is incorrect. You MUST use a fundamentally different approach or corrected arguments.' }}
303
+ {%- elif ns2.consecutive_failures == 1 %}
304
+ {{- '\n\n⚠️ SYSTEM WARNING: The previous tool call returned an error. Diagnose the failure and retry with completely corrected arguments.' }}
305
+ {%- endif %}
306
+ {{- '\n</tool_response>' }}
307
+ {%- if loop.last %}
308
+ {{- '<|im_end|>\n' }}
309
+ {%- else %}
310
+ {%- set _next_role = _msgs[loop.index0 + 1].role %}
311
+ {%- if _next_role != 'tool' %}
312
+ {{- '<|im_end|>\n' }}
313
+ {%- endif %}
314
+ {%- endif %}
315
+ {%- else %}
316
+ {{- '<|im_start|>user\n[' + message.role + ']: ' + content + '<|im_end|>\n' }}
317
+ {%- endif %}
318
+ {%- set ns2.prev_role = message.role %}
319
+ {%- endfor %}
320
+ {%- if add_generation_prompt %}
321
+ {{- '<|im_start|>assistant\n' }}
322
+ {%- if not ns_state.thinking %}
323
+ {{- '<think>\n\n</think>\n\n' }}
324
+ {%- elif ns2.consecutive_failures >= 2 %}
325
+ {{- '<think>\n\n</think>\n\n' }}
326
+ {%- else %}
327
+ {{- '<think>\n' }}
328
+ {%- endif %}
329
+ {%- endif %}
config.json ADDED
@@ -0,0 +1,3253 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Qwen3_5MoeForConditionalGeneration"
4
+ ],
5
+ "image_token_id": 248056,
6
+ "model_type": "qwen3_5_moe",
7
+ "text_config": {
8
+ "attention_bias": false,
9
+ "attention_dropout": 0.0,
10
+ "attn_output_gate": true,
11
+ "bos_token_id": 248044,
12
+ "dtype": "bfloat16",
13
+ "eos_token_id": 248044,
14
+ "full_attention_interval": 4,
15
+ "head_dim": 256,
16
+ "hidden_act": "silu",
17
+ "hidden_size": 2048,
18
+ "initializer_range": 0.02,
19
+ "layer_types": [
20
+ "linear_attention",
21
+ "linear_attention",
22
+ "linear_attention",
23
+ "full_attention",
24
+ "linear_attention",
25
+ "linear_attention",
26
+ "linear_attention",
27
+ "full_attention",
28
+ "linear_attention",
29
+ "linear_attention",
30
+ "linear_attention",
31
+ "full_attention",
32
+ "linear_attention",
33
+ "linear_attention",
34
+ "linear_attention",
35
+ "full_attention",
36
+ "linear_attention",
37
+ "linear_attention",
38
+ "linear_attention",
39
+ "full_attention",
40
+ "linear_attention",
41
+ "linear_attention",
42
+ "linear_attention",
43
+ "full_attention",
44
+ "linear_attention",
45
+ "linear_attention",
46
+ "linear_attention",
47
+ "full_attention",
48
+ "linear_attention",
49
+ "linear_attention",
50
+ "linear_attention",
51
+ "full_attention",
52
+ "linear_attention",
53
+ "linear_attention",
54
+ "linear_attention",
55
+ "full_attention",
56
+ "linear_attention",
57
+ "linear_attention",
58
+ "linear_attention",
59
+ "full_attention"
60
+ ],
61
+ "linear_conv_kernel_dim": 4,
62
+ "linear_key_head_dim": 128,
63
+ "linear_num_key_heads": 16,
64
+ "linear_num_value_heads": 32,
65
+ "linear_value_head_dim": 128,
66
+ "mamba_ssm_dtype": "float32",
67
+ "max_position_embeddings": 262144,
68
+ "model_type": "qwen3_5_moe_text",
69
+ "moe_intermediate_size": 512,
70
+ "mtp_num_hidden_layers": 1,
71
+ "mtp_use_dedicated_embeddings": false,
72
+ "num_attention_heads": 16,
73
+ "num_experts": 256,
74
+ "num_experts_per_tok": 8,
75
+ "num_hidden_layers": 40,
76
+ "num_key_value_heads": 2,
77
+ "output_router_logits": false,
78
+ "pad_token_id": null,
79
+ "partial_rotary_factor": 0.25,
80
+ "rms_norm_eps": 1e-06,
81
+ "rope_parameters": {
82
+ "mrope_interleaved": true,
83
+ "mrope_section": [
84
+ 11,
85
+ 11,
86
+ 10
87
+ ],
88
+ "partial_rotary_factor": 0.25,
89
+ "rope_theta": 10000000,
90
+ "type": "default"
91
+ },
92
+ "router_aux_loss_coef": 0.001,
93
+ "shared_expert_intermediate_size": 512,
94
+ "tie_word_embeddings": false,
95
+ "use_cache": true,
96
+ "vocab_size": 248320
97
+ },
98
+ "tie_word_embeddings": false,
99
+ "transformers_version": "4.57.1",
100
+ "video_token_id": 248057,
101
+ "vision_config": {
102
+ "deepstack_visual_indexes": [],
103
+ "depth": 27,
104
+ "hidden_act": "gelu_pytorch_tanh",
105
+ "hidden_size": 1152,
106
+ "in_channels": 3,
107
+ "initializer_range": 0.02,
108
+ "intermediate_size": 4304,
109
+ "model_type": "qwen3_5_moe",
110
+ "num_heads": 16,
111
+ "num_position_embeddings": 2304,
112
+ "out_hidden_size": 2048,
113
+ "patch_size": 16,
114
+ "spatial_merge_size": 2,
115
+ "temporal_patch_size": 2
116
+ },
117
+ "vision_end_token_id": 248054,
118
+ "vision_start_token_id": 248053,
119
+ "eos_token_id": [
120
+ 248046,
121
+ 248044
122
+ ],
123
+ "quantization": {
124
+ "group_size": 64,
125
+ "bits": 4,
126
+ "mode": "affine",
127
+ "language_model.model.embed_tokens": {
128
+ "bits": 8,
129
+ "group_size": 64,
130
+ "mode": "affine"
131
+ },
132
+ "language_model.model.layers.0.linear_attn.in_proj_qkv": {
133
+ "bits": 8,
134
+ "group_size": 64,
135
+ "mode": "affine"
136
+ },
137
+ "language_model.model.layers.0.linear_attn.in_proj_z": {
138
+ "bits": 8,
139
+ "group_size": 64,
140
+ "mode": "affine"
141
+ },
142
+ "language_model.model.layers.0.linear_attn.out_proj": {
143
+ "bits": 5,
144
+ "group_size": 128,
145
+ "mode": "affine"
146
+ },
147
+ "language_model.model.layers.1.linear_attn.in_proj_z": {
148
+ "bits": 5,
149
+ "group_size": 128,
150
+ "mode": "affine"
151
+ },
152
+ "language_model.model.layers.1.linear_attn.out_proj": {
153
+ "bits": 5,
154
+ "group_size": 128,
155
+ "mode": "affine"
156
+ },
157
+ "language_model.model.layers.0.linear_attn.in_proj_a": {
158
+ "bits": 8,
159
+ "group_size": 64,
160
+ "mode": "affine"
161
+ },
162
+ "language_model.model.layers.0.linear_attn.in_proj_b": {
163
+ "bits": 8,
164
+ "group_size": 64,
165
+ "mode": "affine"
166
+ },
167
+ "language_model.model.layers.0.mlp.shared_expert.down_proj": {
168
+ "bits": 8,
169
+ "group_size": 128,
170
+ "mode": "affine"
171
+ },
172
+ "language_model.model.layers.0.mlp.shared_expert.gate_proj": {
173
+ "bits": 8,
174
+ "group_size": 128,
175
+ "mode": "affine"
176
+ },
177
+ "language_model.model.layers.0.mlp.shared_expert.up_proj": {
178
+ "bits": 8,
179
+ "group_size": 128,
180
+ "mode": "affine"
181
+ },
182
+ "language_model.model.layers.0.mlp.shared_expert_gate": {
183
+ "bits": 8,
184
+ "group_size": 64,
185
+ "mode": "affine"
186
+ },
187
+ "language_model.model.layers.1.linear_attn.in_proj_a": {
188
+ "bits": 6,
189
+ "group_size": 64,
190
+ "mode": "affine"
191
+ },
192
+ "language_model.model.layers.1.linear_attn.in_proj_b": {
193
+ "bits": 6,
194
+ "group_size": 64,
195
+ "mode": "affine"
196
+ },
197
+ "language_model.model.layers.1.mlp.shared_expert.down_proj": {
198
+ "bits": 8,
199
+ "group_size": 128,
200
+ "mode": "affine"
201
+ },
202
+ "language_model.model.layers.1.mlp.shared_expert.gate_proj": {
203
+ "bits": 8,
204
+ "group_size": 128,
205
+ "mode": "affine"
206
+ },
207
+ "language_model.model.layers.1.mlp.shared_expert.up_proj": {
208
+ "bits": 8,
209
+ "group_size": 128,
210
+ "mode": "affine"
211
+ },
212
+ "language_model.model.layers.1.mlp.shared_expert_gate": {
213
+ "bits": 8,
214
+ "group_size": 64,
215
+ "mode": "affine"
216
+ },
217
+ "language_model.model.layers.2.linear_attn.in_proj_a": {
218
+ "bits": 5,
219
+ "group_size": 128,
220
+ "mode": "affine"
221
+ },
222
+ "language_model.model.layers.2.linear_attn.in_proj_b": {
223
+ "bits": 5,
224
+ "group_size": 128,
225
+ "mode": "affine"
226
+ },
227
+ "language_model.model.layers.2.linear_attn.in_proj_z": {
228
+ "bits": 5,
229
+ "group_size": 128,
230
+ "mode": "affine"
231
+ },
232
+ "language_model.model.layers.2.linear_attn.out_proj": {
233
+ "bits": 5,
234
+ "group_size": 128,
235
+ "mode": "affine"
236
+ },
237
+ "language_model.model.layers.2.mlp.shared_expert.down_proj": {
238
+ "bits": 8,
239
+ "group_size": 128,
240
+ "mode": "affine"
241
+ },
242
+ "language_model.model.layers.2.mlp.shared_expert.gate_proj": {
243
+ "bits": 8,
244
+ "group_size": 128,
245
+ "mode": "affine"
246
+ },
247
+ "language_model.model.layers.2.mlp.shared_expert.up_proj": {
248
+ "bits": 8,
249
+ "group_size": 128,
250
+ "mode": "affine"
251
+ },
252
+ "language_model.model.layers.2.mlp.shared_expert_gate": {
253
+ "bits": 8,
254
+ "group_size": 64,
255
+ "mode": "affine"
256
+ },
257
+ "language_model.model.layers.3.mlp.shared_expert.down_proj": {
258
+ "bits": 8,
259
+ "group_size": 128,
260
+ "mode": "affine"
261
+ },
262
+ "language_model.model.layers.3.mlp.shared_expert.gate_proj": {
263
+ "bits": 8,
264
+ "group_size": 128,
265
+ "mode": "affine"
266
+ },
267
+ "language_model.model.layers.3.mlp.shared_expert.up_proj": {
268
+ "bits": 8,
269
+ "group_size": 128,
270
+ "mode": "affine"
271
+ },
272
+ "language_model.model.layers.3.mlp.shared_expert_gate": {
273
+ "bits": 8,
274
+ "group_size": 64,
275
+ "mode": "affine"
276
+ },
277
+ "language_model.model.layers.3.self_attn.k_proj": {
278
+ "bits": 6,
279
+ "group_size": 64,
280
+ "mode": "affine"
281
+ },
282
+ "language_model.model.layers.4.linear_attn.in_proj_a": {
283
+ "bits": 5,
284
+ "group_size": 128,
285
+ "mode": "affine"
286
+ },
287
+ "language_model.model.layers.4.linear_attn.in_proj_b": {
288
+ "bits": 5,
289
+ "group_size": 128,
290
+ "mode": "affine"
291
+ },
292
+ "language_model.model.layers.4.linear_attn.in_proj_z": {
293
+ "bits": 5,
294
+ "group_size": 128,
295
+ "mode": "affine"
296
+ },
297
+ "language_model.model.layers.4.linear_attn.out_proj": {
298
+ "bits": 5,
299
+ "group_size": 128,
300
+ "mode": "affine"
301
+ },
302
+ "language_model.model.layers.4.mlp.shared_expert.down_proj": {
303
+ "bits": 8,
304
+ "group_size": 128,
305
+ "mode": "affine"
306
+ },
307
+ "language_model.model.layers.4.mlp.shared_expert.gate_proj": {
308
+ "bits": 8,
309
+ "group_size": 128,
310
+ "mode": "affine"
311
+ },
312
+ "language_model.model.layers.4.mlp.shared_expert.up_proj": {
313
+ "bits": 8,
314
+ "group_size": 128,
315
+ "mode": "affine"
316
+ },
317
+ "language_model.model.layers.4.mlp.shared_expert_gate": {
318
+ "bits": 8,
319
+ "group_size": 64,
320
+ "mode": "affine"
321
+ },
322
+ "language_model.model.layers.5.linear_attn.in_proj_a": {
323
+ "bits": 5,
324
+ "group_size": 128,
325
+ "mode": "affine"
326
+ },
327
+ "language_model.model.layers.5.linear_attn.in_proj_b": {
328
+ "bits": 5,
329
+ "group_size": 128,
330
+ "mode": "affine"
331
+ },
332
+ "language_model.model.layers.5.linear_attn.in_proj_z": {
333
+ "bits": 5,
334
+ "group_size": 128,
335
+ "mode": "affine"
336
+ },
337
+ "language_model.model.layers.5.linear_attn.out_proj": {
338
+ "bits": 5,
339
+ "group_size": 128,
340
+ "mode": "affine"
341
+ },
342
+ "language_model.model.layers.5.mlp.shared_expert.down_proj": {
343
+ "bits": 8,
344
+ "group_size": 128,
345
+ "mode": "affine"
346
+ },
347
+ "language_model.model.layers.5.mlp.shared_expert.gate_proj": {
348
+ "bits": 8,
349
+ "group_size": 128,
350
+ "mode": "affine"
351
+ },
352
+ "language_model.model.layers.5.mlp.shared_expert.up_proj": {
353
+ "bits": 8,
354
+ "group_size": 128,
355
+ "mode": "affine"
356
+ },
357
+ "language_model.model.layers.5.mlp.shared_expert_gate": {
358
+ "bits": 8,
359
+ "group_size": 64,
360
+ "mode": "affine"
361
+ },
362
+ "language_model.model.layers.6.linear_attn.in_proj_a": {
363
+ "bits": 5,
364
+ "group_size": 128,
365
+ "mode": "affine"
366
+ },
367
+ "language_model.model.layers.6.linear_attn.in_proj_b": {
368
+ "bits": 5,
369
+ "group_size": 128,
370
+ "mode": "affine"
371
+ },
372
+ "language_model.model.layers.6.linear_attn.in_proj_z": {
373
+ "bits": 5,
374
+ "group_size": 128,
375
+ "mode": "affine"
376
+ },
377
+ "language_model.model.layers.6.linear_attn.out_proj": {
378
+ "bits": 5,
379
+ "group_size": 128,
380
+ "mode": "affine"
381
+ },
382
+ "language_model.model.layers.6.mlp.shared_expert.down_proj": {
383
+ "bits": 8,
384
+ "group_size": 128,
385
+ "mode": "affine"
386
+ },
387
+ "language_model.model.layers.6.mlp.shared_expert.gate_proj": {
388
+ "bits": 8,
389
+ "group_size": 128,
390
+ "mode": "affine"
391
+ },
392
+ "language_model.model.layers.6.mlp.shared_expert.up_proj": {
393
+ "bits": 8,
394
+ "group_size": 128,
395
+ "mode": "affine"
396
+ },
397
+ "language_model.model.layers.6.mlp.shared_expert_gate": {
398
+ "bits": 8,
399
+ "group_size": 64,
400
+ "mode": "affine"
401
+ },
402
+ "language_model.model.layers.7.mlp.shared_expert.down_proj": {
403
+ "bits": 8,
404
+ "group_size": 128,
405
+ "mode": "affine"
406
+ },
407
+ "language_model.model.layers.7.mlp.shared_expert.gate_proj": {
408
+ "bits": 8,
409
+ "group_size": 128,
410
+ "mode": "affine"
411
+ },
412
+ "language_model.model.layers.7.mlp.shared_expert.up_proj": {
413
+ "bits": 8,
414
+ "group_size": 128,
415
+ "mode": "affine"
416
+ },
417
+ "language_model.model.layers.7.mlp.shared_expert_gate": {
418
+ "bits": 8,
419
+ "group_size": 64,
420
+ "mode": "affine"
421
+ },
422
+ "language_model.model.layers.7.self_attn.k_proj": {
423
+ "bits": 8,
424
+ "group_size": 64,
425
+ "mode": "affine"
426
+ },
427
+ "language_model.model.layers.7.self_attn.q_proj": {
428
+ "bits": 5,
429
+ "group_size": 128,
430
+ "mode": "affine"
431
+ },
432
+ "language_model.model.layers.7.self_attn.v_proj": {
433
+ "bits": 8,
434
+ "group_size": 64,
435
+ "mode": "affine"
436
+ },
437
+ "language_model.model.layers.10.linear_attn.in_proj_qkv": {
438
+ "bits": 5,
439
+ "group_size": 128,
440
+ "mode": "affine"
441
+ },
442
+ "language_model.model.layers.10.linear_attn.in_proj_z": {
443
+ "bits": 5,
444
+ "group_size": 128,
445
+ "mode": "affine"
446
+ },
447
+ "language_model.model.layers.10.linear_attn.out_proj": {
448
+ "bits": 5,
449
+ "group_size": 128,
450
+ "mode": "affine"
451
+ },
452
+ "language_model.model.layers.8.linear_attn.in_proj_z": {
453
+ "bits": 5,
454
+ "group_size": 128,
455
+ "mode": "affine"
456
+ },
457
+ "language_model.model.layers.8.linear_attn.out_proj": {
458
+ "bits": 5,
459
+ "group_size": 128,
460
+ "mode": "affine"
461
+ },
462
+ "language_model.model.layers.9.linear_attn.in_proj_z": {
463
+ "bits": 5,
464
+ "group_size": 128,
465
+ "mode": "affine"
466
+ },
467
+ "language_model.model.layers.9.linear_attn.out_proj": {
468
+ "bits": 5,
469
+ "group_size": 128,
470
+ "mode": "affine"
471
+ },
472
+ "language_model.model.layers.10.linear_attn.in_proj_a": {
473
+ "bits": 8,
474
+ "group_size": 64,
475
+ "mode": "affine"
476
+ },
477
+ "language_model.model.layers.10.linear_attn.in_proj_b": {
478
+ "bits": 8,
479
+ "group_size": 64,
480
+ "mode": "affine"
481
+ },
482
+ "language_model.model.layers.10.mlp.shared_expert.down_proj": {
483
+ "bits": 8,
484
+ "group_size": 128,
485
+ "mode": "affine"
486
+ },
487
+ "language_model.model.layers.10.mlp.shared_expert.gate_proj": {
488
+ "bits": 8,
489
+ "group_size": 128,
490
+ "mode": "affine"
491
+ },
492
+ "language_model.model.layers.10.mlp.shared_expert.up_proj": {
493
+ "bits": 8,
494
+ "group_size": 128,
495
+ "mode": "affine"
496
+ },
497
+ "language_model.model.layers.10.mlp.shared_expert_gate": {
498
+ "bits": 8,
499
+ "group_size": 64,
500
+ "mode": "affine"
501
+ },
502
+ "language_model.model.layers.8.linear_attn.in_proj_a": {
503
+ "bits": 6,
504
+ "group_size": 64,
505
+ "mode": "affine"
506
+ },
507
+ "language_model.model.layers.8.linear_attn.in_proj_b": {
508
+ "bits": 6,
509
+ "group_size": 64,
510
+ "mode": "affine"
511
+ },
512
+ "language_model.model.layers.8.mlp.shared_expert.down_proj": {
513
+ "bits": 8,
514
+ "group_size": 128,
515
+ "mode": "affine"
516
+ },
517
+ "language_model.model.layers.8.mlp.shared_expert.gate_proj": {
518
+ "bits": 8,
519
+ "group_size": 128,
520
+ "mode": "affine"
521
+ },
522
+ "language_model.model.layers.8.mlp.shared_expert.up_proj": {
523
+ "bits": 8,
524
+ "group_size": 128,
525
+ "mode": "affine"
526
+ },
527
+ "language_model.model.layers.8.mlp.shared_expert_gate": {
528
+ "bits": 8,
529
+ "group_size": 64,
530
+ "mode": "affine"
531
+ },
532
+ "language_model.model.layers.9.linear_attn.in_proj_a": {
533
+ "bits": 6,
534
+ "group_size": 64,
535
+ "mode": "affine"
536
+ },
537
+ "language_model.model.layers.9.linear_attn.in_proj_b": {
538
+ "bits": 6,
539
+ "group_size": 64,
540
+ "mode": "affine"
541
+ },
542
+ "language_model.model.layers.9.mlp.shared_expert.down_proj": {
543
+ "bits": 8,
544
+ "group_size": 128,
545
+ "mode": "affine"
546
+ },
547
+ "language_model.model.layers.9.mlp.shared_expert.gate_proj": {
548
+ "bits": 8,
549
+ "group_size": 128,
550
+ "mode": "affine"
551
+ },
552
+ "language_model.model.layers.9.mlp.shared_expert.up_proj": {
553
+ "bits": 8,
554
+ "group_size": 128,
555
+ "mode": "affine"
556
+ },
557
+ "language_model.model.layers.9.mlp.shared_expert_gate": {
558
+ "bits": 8,
559
+ "group_size": 64,
560
+ "mode": "affine"
561
+ },
562
+ "language_model.model.layers.12.linear_attn.in_proj_z": {
563
+ "bits": 5,
564
+ "group_size": 128,
565
+ "mode": "affine"
566
+ },
567
+ "language_model.model.layers.12.linear_attn.out_proj": {
568
+ "bits": 5,
569
+ "group_size": 128,
570
+ "mode": "affine"
571
+ },
572
+ "language_model.model.layers.13.linear_attn.in_proj_z": {
573
+ "bits": 5,
574
+ "group_size": 128,
575
+ "mode": "affine"
576
+ },
577
+ "language_model.model.layers.13.linear_attn.out_proj": {
578
+ "bits": 5,
579
+ "group_size": 128,
580
+ "mode": "affine"
581
+ },
582
+ "language_model.model.layers.11.mlp.shared_expert.down_proj": {
583
+ "bits": 8,
584
+ "group_size": 128,
585
+ "mode": "affine"
586
+ },
587
+ "language_model.model.layers.11.mlp.shared_expert.gate_proj": {
588
+ "bits": 8,
589
+ "group_size": 128,
590
+ "mode": "affine"
591
+ },
592
+ "language_model.model.layers.11.mlp.shared_expert.up_proj": {
593
+ "bits": 8,
594
+ "group_size": 128,
595
+ "mode": "affine"
596
+ },
597
+ "language_model.model.layers.11.mlp.shared_expert_gate": {
598
+ "bits": 8,
599
+ "group_size": 64,
600
+ "mode": "affine"
601
+ },
602
+ "language_model.model.layers.12.linear_attn.in_proj_a": {
603
+ "bits": 5,
604
+ "group_size": 128,
605
+ "mode": "affine"
606
+ },
607
+ "language_model.model.layers.12.linear_attn.in_proj_b": {
608
+ "bits": 5,
609
+ "group_size": 128,
610
+ "mode": "affine"
611
+ },
612
+ "language_model.model.layers.12.mlp.shared_expert.down_proj": {
613
+ "bits": 8,
614
+ "group_size": 128,
615
+ "mode": "affine"
616
+ },
617
+ "language_model.model.layers.12.mlp.shared_expert.gate_proj": {
618
+ "bits": 8,
619
+ "group_size": 128,
620
+ "mode": "affine"
621
+ },
622
+ "language_model.model.layers.12.mlp.shared_expert.up_proj": {
623
+ "bits": 8,
624
+ "group_size": 128,
625
+ "mode": "affine"
626
+ },
627
+ "language_model.model.layers.12.mlp.shared_expert_gate": {
628
+ "bits": 8,
629
+ "group_size": 64,
630
+ "mode": "affine"
631
+ },
632
+ "language_model.model.layers.13.linear_attn.in_proj_a": {
633
+ "bits": 5,
634
+ "group_size": 128,
635
+ "mode": "affine"
636
+ },
637
+ "language_model.model.layers.13.linear_attn.in_proj_b": {
638
+ "bits": 5,
639
+ "group_size": 128,
640
+ "mode": "affine"
641
+ },
642
+ "language_model.model.layers.13.mlp.shared_expert.down_proj": {
643
+ "bits": 8,
644
+ "group_size": 128,
645
+ "mode": "affine"
646
+ },
647
+ "language_model.model.layers.13.mlp.shared_expert.gate_proj": {
648
+ "bits": 8,
649
+ "group_size": 128,
650
+ "mode": "affine"
651
+ },
652
+ "language_model.model.layers.13.mlp.shared_expert.up_proj": {
653
+ "bits": 8,
654
+ "group_size": 128,
655
+ "mode": "affine"
656
+ },
657
+ "language_model.model.layers.13.mlp.shared_expert_gate": {
658
+ "bits": 8,
659
+ "group_size": 64,
660
+ "mode": "affine"
661
+ },
662
+ "language_model.model.layers.14.linear_attn.in_proj_z": {
663
+ "bits": 5,
664
+ "group_size": 128,
665
+ "mode": "affine"
666
+ },
667
+ "language_model.model.layers.14.linear_attn.out_proj": {
668
+ "bits": 5,
669
+ "group_size": 128,
670
+ "mode": "affine"
671
+ },
672
+ "language_model.model.layers.16.linear_attn.in_proj_z": {
673
+ "bits": 5,
674
+ "group_size": 128,
675
+ "mode": "affine"
676
+ },
677
+ "language_model.model.layers.16.linear_attn.out_proj": {
678
+ "bits": 5,
679
+ "group_size": 128,
680
+ "mode": "affine"
681
+ },
682
+ "language_model.model.layers.14.linear_attn.in_proj_a": {
683
+ "bits": 5,
684
+ "group_size": 128,
685
+ "mode": "affine"
686
+ },
687
+ "language_model.model.layers.14.linear_attn.in_proj_b": {
688
+ "bits": 5,
689
+ "group_size": 128,
690
+ "mode": "affine"
691
+ },
692
+ "language_model.model.layers.14.mlp.shared_expert.down_proj": {
693
+ "bits": 8,
694
+ "group_size": 128,
695
+ "mode": "affine"
696
+ },
697
+ "language_model.model.layers.14.mlp.shared_expert.gate_proj": {
698
+ "bits": 8,
699
+ "group_size": 128,
700
+ "mode": "affine"
701
+ },
702
+ "language_model.model.layers.14.mlp.shared_expert.up_proj": {
703
+ "bits": 8,
704
+ "group_size": 128,
705
+ "mode": "affine"
706
+ },
707
+ "language_model.model.layers.14.mlp.shared_expert_gate": {
708
+ "bits": 8,
709
+ "group_size": 64,
710
+ "mode": "affine"
711
+ },
712
+ "language_model.model.layers.15.mlp.shared_expert.down_proj": {
713
+ "bits": 8,
714
+ "group_size": 128,
715
+ "mode": "affine"
716
+ },
717
+ "language_model.model.layers.15.mlp.shared_expert.gate_proj": {
718
+ "bits": 8,
719
+ "group_size": 128,
720
+ "mode": "affine"
721
+ },
722
+ "language_model.model.layers.15.mlp.shared_expert.up_proj": {
723
+ "bits": 8,
724
+ "group_size": 128,
725
+ "mode": "affine"
726
+ },
727
+ "language_model.model.layers.15.mlp.shared_expert_gate": {
728
+ "bits": 8,
729
+ "group_size": 64,
730
+ "mode": "affine"
731
+ },
732
+ "language_model.model.layers.16.linear_attn.in_proj_a": {
733
+ "bits": 5,
734
+ "group_size": 128,
735
+ "mode": "affine"
736
+ },
737
+ "language_model.model.layers.16.linear_attn.in_proj_b": {
738
+ "bits": 5,
739
+ "group_size": 128,
740
+ "mode": "affine"
741
+ },
742
+ "language_model.model.layers.16.mlp.shared_expert.down_proj": {
743
+ "bits": 8,
744
+ "group_size": 128,
745
+ "mode": "affine"
746
+ },
747
+ "language_model.model.layers.16.mlp.shared_expert.gate_proj": {
748
+ "bits": 8,
749
+ "group_size": 128,
750
+ "mode": "affine"
751
+ },
752
+ "language_model.model.layers.16.mlp.shared_expert.up_proj": {
753
+ "bits": 8,
754
+ "group_size": 128,
755
+ "mode": "affine"
756
+ },
757
+ "language_model.model.layers.16.mlp.shared_expert_gate": {
758
+ "bits": 8,
759
+ "group_size": 64,
760
+ "mode": "affine"
761
+ },
762
+ "language_model.model.layers.17.linear_attn.in_proj_z": {
763
+ "bits": 5,
764
+ "group_size": 128,
765
+ "mode": "affine"
766
+ },
767
+ "language_model.model.layers.17.linear_attn.out_proj": {
768
+ "bits": 5,
769
+ "group_size": 128,
770
+ "mode": "affine"
771
+ },
772
+ "language_model.model.layers.18.linear_attn.in_proj_z": {
773
+ "bits": 5,
774
+ "group_size": 128,
775
+ "mode": "affine"
776
+ },
777
+ "language_model.model.layers.18.linear_attn.out_proj": {
778
+ "bits": 5,
779
+ "group_size": 128,
780
+ "mode": "affine"
781
+ },
782
+ "language_model.model.layers.17.linear_attn.in_proj_a": {
783
+ "bits": 5,
784
+ "group_size": 128,
785
+ "mode": "affine"
786
+ },
787
+ "language_model.model.layers.17.linear_attn.in_proj_b": {
788
+ "bits": 5,
789
+ "group_size": 128,
790
+ "mode": "affine"
791
+ },
792
+ "language_model.model.layers.17.mlp.shared_expert.down_proj": {
793
+ "bits": 8,
794
+ "group_size": 128,
795
+ "mode": "affine"
796
+ },
797
+ "language_model.model.layers.17.mlp.shared_expert.gate_proj": {
798
+ "bits": 8,
799
+ "group_size": 128,
800
+ "mode": "affine"
801
+ },
802
+ "language_model.model.layers.17.mlp.shared_expert.up_proj": {
803
+ "bits": 8,
804
+ "group_size": 128,
805
+ "mode": "affine"
806
+ },
807
+ "language_model.model.layers.17.mlp.shared_expert_gate": {
808
+ "bits": 8,
809
+ "group_size": 64,
810
+ "mode": "affine"
811
+ },
812
+ "language_model.model.layers.18.linear_attn.in_proj_a": {
813
+ "bits": 5,
814
+ "group_size": 128,
815
+ "mode": "affine"
816
+ },
817
+ "language_model.model.layers.18.linear_attn.in_proj_b": {
818
+ "bits": 5,
819
+ "group_size": 128,
820
+ "mode": "affine"
821
+ },
822
+ "language_model.model.layers.18.mlp.shared_expert.down_proj": {
823
+ "bits": 8,
824
+ "group_size": 128,
825
+ "mode": "affine"
826
+ },
827
+ "language_model.model.layers.18.mlp.shared_expert.gate_proj": {
828
+ "bits": 8,
829
+ "group_size": 128,
830
+ "mode": "affine"
831
+ },
832
+ "language_model.model.layers.18.mlp.shared_expert.up_proj": {
833
+ "bits": 8,
834
+ "group_size": 128,
835
+ "mode": "affine"
836
+ },
837
+ "language_model.model.layers.18.mlp.shared_expert_gate": {
838
+ "bits": 8,
839
+ "group_size": 64,
840
+ "mode": "affine"
841
+ },
842
+ "language_model.model.layers.19.mlp.shared_expert.down_proj": {
843
+ "bits": 8,
844
+ "group_size": 128,
845
+ "mode": "affine"
846
+ },
847
+ "language_model.model.layers.19.mlp.shared_expert.gate_proj": {
848
+ "bits": 8,
849
+ "group_size": 128,
850
+ "mode": "affine"
851
+ },
852
+ "language_model.model.layers.19.mlp.shared_expert.up_proj": {
853
+ "bits": 8,
854
+ "group_size": 128,
855
+ "mode": "affine"
856
+ },
857
+ "language_model.model.layers.19.mlp.shared_expert_gate": {
858
+ "bits": 8,
859
+ "group_size": 64,
860
+ "mode": "affine"
861
+ },
862
+ "language_model.model.layers.20.linear_attn.in_proj_z": {
863
+ "bits": 5,
864
+ "group_size": 128,
865
+ "mode": "affine"
866
+ },
867
+ "language_model.model.layers.20.linear_attn.out_proj": {
868
+ "bits": 5,
869
+ "group_size": 128,
870
+ "mode": "affine"
871
+ },
872
+ "language_model.model.layers.21.linear_attn.in_proj_z": {
873
+ "bits": 5,
874
+ "group_size": 128,
875
+ "mode": "affine"
876
+ },
877
+ "language_model.model.layers.21.linear_attn.out_proj": {
878
+ "bits": 5,
879
+ "group_size": 128,
880
+ "mode": "affine"
881
+ },
882
+ "language_model.model.layers.22.linear_attn.in_proj_z": {
883
+ "bits": 5,
884
+ "group_size": 128,
885
+ "mode": "affine"
886
+ },
887
+ "language_model.model.layers.22.linear_attn.out_proj": {
888
+ "bits": 5,
889
+ "group_size": 128,
890
+ "mode": "affine"
891
+ },
892
+ "language_model.model.layers.20.linear_attn.in_proj_a": {
893
+ "bits": 5,
894
+ "group_size": 128,
895
+ "mode": "affine"
896
+ },
897
+ "language_model.model.layers.20.linear_attn.in_proj_b": {
898
+ "bits": 5,
899
+ "group_size": 128,
900
+ "mode": "affine"
901
+ },
902
+ "language_model.model.layers.20.mlp.shared_expert.down_proj": {
903
+ "bits": 8,
904
+ "group_size": 128,
905
+ "mode": "affine"
906
+ },
907
+ "language_model.model.layers.20.mlp.shared_expert.gate_proj": {
908
+ "bits": 8,
909
+ "group_size": 128,
910
+ "mode": "affine"
911
+ },
912
+ "language_model.model.layers.20.mlp.shared_expert.up_proj": {
913
+ "bits": 8,
914
+ "group_size": 128,
915
+ "mode": "affine"
916
+ },
917
+ "language_model.model.layers.20.mlp.shared_expert_gate": {
918
+ "bits": 8,
919
+ "group_size": 64,
920
+ "mode": "affine"
921
+ },
922
+ "language_model.model.layers.21.linear_attn.in_proj_a": {
923
+ "bits": 5,
924
+ "group_size": 128,
925
+ "mode": "affine"
926
+ },
927
+ "language_model.model.layers.21.linear_attn.in_proj_b": {
928
+ "bits": 5,
929
+ "group_size": 128,
930
+ "mode": "affine"
931
+ },
932
+ "language_model.model.layers.21.mlp.shared_expert.down_proj": {
933
+ "bits": 8,
934
+ "group_size": 128,
935
+ "mode": "affine"
936
+ },
937
+ "language_model.model.layers.21.mlp.shared_expert.gate_proj": {
938
+ "bits": 8,
939
+ "group_size": 128,
940
+ "mode": "affine"
941
+ },
942
+ "language_model.model.layers.21.mlp.shared_expert.up_proj": {
943
+ "bits": 8,
944
+ "group_size": 128,
945
+ "mode": "affine"
946
+ },
947
+ "language_model.model.layers.21.mlp.shared_expert_gate": {
948
+ "bits": 8,
949
+ "group_size": 64,
950
+ "mode": "affine"
951
+ },
952
+ "language_model.model.layers.22.linear_attn.in_proj_a": {
953
+ "bits": 5,
954
+ "group_size": 128,
955
+ "mode": "affine"
956
+ },
957
+ "language_model.model.layers.22.linear_attn.in_proj_b": {
958
+ "bits": 5,
959
+ "group_size": 128,
960
+ "mode": "affine"
961
+ },
962
+ "language_model.model.layers.22.mlp.shared_expert.down_proj": {
963
+ "bits": 8,
964
+ "group_size": 128,
965
+ "mode": "affine"
966
+ },
967
+ "language_model.model.layers.22.mlp.shared_expert.gate_proj": {
968
+ "bits": 8,
969
+ "group_size": 128,
970
+ "mode": "affine"
971
+ },
972
+ "language_model.model.layers.22.mlp.shared_expert.up_proj": {
973
+ "bits": 8,
974
+ "group_size": 128,
975
+ "mode": "affine"
976
+ },
977
+ "language_model.model.layers.22.mlp.shared_expert_gate": {
978
+ "bits": 8,
979
+ "group_size": 64,
980
+ "mode": "affine"
981
+ },
982
+ "language_model.model.layers.24.linear_attn.in_proj_z": {
983
+ "bits": 5,
984
+ "group_size": 128,
985
+ "mode": "affine"
986
+ },
987
+ "language_model.model.layers.24.linear_attn.out_proj": {
988
+ "bits": 5,
989
+ "group_size": 128,
990
+ "mode": "affine"
991
+ },
992
+ "language_model.model.layers.25.linear_attn.in_proj_z": {
993
+ "bits": 5,
994
+ "group_size": 128,
995
+ "mode": "affine"
996
+ },
997
+ "language_model.model.layers.25.linear_attn.out_proj": {
998
+ "bits": 5,
999
+ "group_size": 128,
1000
+ "mode": "affine"
1001
+ },
1002
+ "language_model.model.layers.23.mlp.shared_expert.down_proj": {
1003
+ "bits": 8,
1004
+ "group_size": 128,
1005
+ "mode": "affine"
1006
+ },
1007
+ "language_model.model.layers.23.mlp.shared_expert.gate_proj": {
1008
+ "bits": 8,
1009
+ "group_size": 128,
1010
+ "mode": "affine"
1011
+ },
1012
+ "language_model.model.layers.23.mlp.shared_expert.up_proj": {
1013
+ "bits": 8,
1014
+ "group_size": 128,
1015
+ "mode": "affine"
1016
+ },
1017
+ "language_model.model.layers.23.mlp.shared_expert_gate": {
1018
+ "bits": 8,
1019
+ "group_size": 64,
1020
+ "mode": "affine"
1021
+ },
1022
+ "language_model.model.layers.24.linear_attn.in_proj_a": {
1023
+ "bits": 5,
1024
+ "group_size": 128,
1025
+ "mode": "affine"
1026
+ },
1027
+ "language_model.model.layers.24.linear_attn.in_proj_b": {
1028
+ "bits": 5,
1029
+ "group_size": 128,
1030
+ "mode": "affine"
1031
+ },
1032
+ "language_model.model.layers.24.mlp.shared_expert.down_proj": {
1033
+ "bits": 8,
1034
+ "group_size": 128,
1035
+ "mode": "affine"
1036
+ },
1037
+ "language_model.model.layers.24.mlp.shared_expert.gate_proj": {
1038
+ "bits": 8,
1039
+ "group_size": 128,
1040
+ "mode": "affine"
1041
+ },
1042
+ "language_model.model.layers.24.mlp.shared_expert.up_proj": {
1043
+ "bits": 8,
1044
+ "group_size": 128,
1045
+ "mode": "affine"
1046
+ },
1047
+ "language_model.model.layers.24.mlp.shared_expert_gate": {
1048
+ "bits": 8,
1049
+ "group_size": 64,
1050
+ "mode": "affine"
1051
+ },
1052
+ "language_model.model.layers.25.linear_attn.in_proj_a": {
1053
+ "bits": 5,
1054
+ "group_size": 128,
1055
+ "mode": "affine"
1056
+ },
1057
+ "language_model.model.layers.25.linear_attn.in_proj_b": {
1058
+ "bits": 5,
1059
+ "group_size": 128,
1060
+ "mode": "affine"
1061
+ },
1062
+ "language_model.model.layers.25.mlp.shared_expert.down_proj": {
1063
+ "bits": 8,
1064
+ "group_size": 128,
1065
+ "mode": "affine"
1066
+ },
1067
+ "language_model.model.layers.25.mlp.shared_expert.gate_proj": {
1068
+ "bits": 8,
1069
+ "group_size": 128,
1070
+ "mode": "affine"
1071
+ },
1072
+ "language_model.model.layers.25.mlp.shared_expert.up_proj": {
1073
+ "bits": 8,
1074
+ "group_size": 128,
1075
+ "mode": "affine"
1076
+ },
1077
+ "language_model.model.layers.25.mlp.shared_expert_gate": {
1078
+ "bits": 8,
1079
+ "group_size": 64,
1080
+ "mode": "affine"
1081
+ },
1082
+ "language_model.model.layers.26.linear_attn.in_proj_z": {
1083
+ "bits": 5,
1084
+ "group_size": 128,
1085
+ "mode": "affine"
1086
+ },
1087
+ "language_model.model.layers.26.linear_attn.out_proj": {
1088
+ "bits": 5,
1089
+ "group_size": 128,
1090
+ "mode": "affine"
1091
+ },
1092
+ "language_model.model.layers.28.linear_attn.in_proj_z": {
1093
+ "bits": 5,
1094
+ "group_size": 128,
1095
+ "mode": "affine"
1096
+ },
1097
+ "language_model.model.layers.28.linear_attn.out_proj": {
1098
+ "bits": 5,
1099
+ "group_size": 128,
1100
+ "mode": "affine"
1101
+ },
1102
+ "language_model.model.layers.26.linear_attn.in_proj_a": {
1103
+ "bits": 5,
1104
+ "group_size": 128,
1105
+ "mode": "affine"
1106
+ },
1107
+ "language_model.model.layers.26.linear_attn.in_proj_b": {
1108
+ "bits": 5,
1109
+ "group_size": 128,
1110
+ "mode": "affine"
1111
+ },
1112
+ "language_model.model.layers.26.mlp.shared_expert.down_proj": {
1113
+ "bits": 8,
1114
+ "group_size": 128,
1115
+ "mode": "affine"
1116
+ },
1117
+ "language_model.model.layers.26.mlp.shared_expert.gate_proj": {
1118
+ "bits": 8,
1119
+ "group_size": 128,
1120
+ "mode": "affine"
1121
+ },
1122
+ "language_model.model.layers.26.mlp.shared_expert.up_proj": {
1123
+ "bits": 8,
1124
+ "group_size": 128,
1125
+ "mode": "affine"
1126
+ },
1127
+ "language_model.model.layers.26.mlp.shared_expert_gate": {
1128
+ "bits": 8,
1129
+ "group_size": 64,
1130
+ "mode": "affine"
1131
+ },
1132
+ "language_model.model.layers.27.mlp.shared_expert.down_proj": {
1133
+ "bits": 8,
1134
+ "group_size": 128,
1135
+ "mode": "affine"
1136
+ },
1137
+ "language_model.model.layers.27.mlp.shared_expert.gate_proj": {
1138
+ "bits": 8,
1139
+ "group_size": 128,
1140
+ "mode": "affine"
1141
+ },
1142
+ "language_model.model.layers.27.mlp.shared_expert.up_proj": {
1143
+ "bits": 8,
1144
+ "group_size": 128,
1145
+ "mode": "affine"
1146
+ },
1147
+ "language_model.model.layers.27.mlp.shared_expert_gate": {
1148
+ "bits": 8,
1149
+ "group_size": 64,
1150
+ "mode": "affine"
1151
+ },
1152
+ "language_model.model.layers.28.linear_attn.in_proj_a": {
1153
+ "bits": 5,
1154
+ "group_size": 128,
1155
+ "mode": "affine"
1156
+ },
1157
+ "language_model.model.layers.28.linear_attn.in_proj_b": {
1158
+ "bits": 5,
1159
+ "group_size": 128,
1160
+ "mode": "affine"
1161
+ },
1162
+ "language_model.model.layers.28.mlp.shared_expert.down_proj": {
1163
+ "bits": 8,
1164
+ "group_size": 128,
1165
+ "mode": "affine"
1166
+ },
1167
+ "language_model.model.layers.28.mlp.shared_expert.gate_proj": {
1168
+ "bits": 8,
1169
+ "group_size": 128,
1170
+ "mode": "affine"
1171
+ },
1172
+ "language_model.model.layers.28.mlp.shared_expert.up_proj": {
1173
+ "bits": 8,
1174
+ "group_size": 128,
1175
+ "mode": "affine"
1176
+ },
1177
+ "language_model.model.layers.28.mlp.shared_expert_gate": {
1178
+ "bits": 8,
1179
+ "group_size": 64,
1180
+ "mode": "affine"
1181
+ },
1182
+ "language_model.model.layers.29.linear_attn.in_proj_z": {
1183
+ "bits": 5,
1184
+ "group_size": 128,
1185
+ "mode": "affine"
1186
+ },
1187
+ "language_model.model.layers.29.linear_attn.out_proj": {
1188
+ "bits": 5,
1189
+ "group_size": 128,
1190
+ "mode": "affine"
1191
+ },
1192
+ "language_model.model.layers.30.linear_attn.in_proj_z": {
1193
+ "bits": 5,
1194
+ "group_size": 128,
1195
+ "mode": "affine"
1196
+ },
1197
+ "language_model.model.layers.30.linear_attn.out_proj": {
1198
+ "bits": 5,
1199
+ "group_size": 128,
1200
+ "mode": "affine"
1201
+ },
1202
+ "language_model.model.layers.31.self_attn.k_proj": {
1203
+ "bits": 8,
1204
+ "group_size": 64,
1205
+ "mode": "affine"
1206
+ },
1207
+ "language_model.model.layers.31.self_attn.o_proj": {
1208
+ "bits": 8,
1209
+ "group_size": 64,
1210
+ "mode": "affine"
1211
+ },
1212
+ "language_model.model.layers.31.self_attn.q_proj": {
1213
+ "bits": 6,
1214
+ "group_size": 64,
1215
+ "mode": "affine"
1216
+ },
1217
+ "language_model.model.layers.31.self_attn.v_proj": {
1218
+ "bits": 8,
1219
+ "group_size": 64,
1220
+ "mode": "affine"
1221
+ },
1222
+ "language_model.model.layers.29.linear_attn.in_proj_a": {
1223
+ "bits": 5,
1224
+ "group_size": 128,
1225
+ "mode": "affine"
1226
+ },
1227
+ "language_model.model.layers.29.linear_attn.in_proj_b": {
1228
+ "bits": 5,
1229
+ "group_size": 128,
1230
+ "mode": "affine"
1231
+ },
1232
+ "language_model.model.layers.29.mlp.shared_expert.down_proj": {
1233
+ "bits": 8,
1234
+ "group_size": 128,
1235
+ "mode": "affine"
1236
+ },
1237
+ "language_model.model.layers.29.mlp.shared_expert.gate_proj": {
1238
+ "bits": 8,
1239
+ "group_size": 128,
1240
+ "mode": "affine"
1241
+ },
1242
+ "language_model.model.layers.29.mlp.shared_expert.up_proj": {
1243
+ "bits": 8,
1244
+ "group_size": 128,
1245
+ "mode": "affine"
1246
+ },
1247
+ "language_model.model.layers.29.mlp.shared_expert_gate": {
1248
+ "bits": 8,
1249
+ "group_size": 64,
1250
+ "mode": "affine"
1251
+ },
1252
+ "language_model.model.layers.30.linear_attn.in_proj_a": {
1253
+ "bits": 5,
1254
+ "group_size": 128,
1255
+ "mode": "affine"
1256
+ },
1257
+ "language_model.model.layers.30.linear_attn.in_proj_b": {
1258
+ "bits": 5,
1259
+ "group_size": 128,
1260
+ "mode": "affine"
1261
+ },
1262
+ "language_model.model.layers.30.mlp.shared_expert.down_proj": {
1263
+ "bits": 8,
1264
+ "group_size": 128,
1265
+ "mode": "affine"
1266
+ },
1267
+ "language_model.model.layers.30.mlp.shared_expert.gate_proj": {
1268
+ "bits": 8,
1269
+ "group_size": 128,
1270
+ "mode": "affine"
1271
+ },
1272
+ "language_model.model.layers.30.mlp.shared_expert.up_proj": {
1273
+ "bits": 8,
1274
+ "group_size": 128,
1275
+ "mode": "affine"
1276
+ },
1277
+ "language_model.model.layers.30.mlp.shared_expert_gate": {
1278
+ "bits": 8,
1279
+ "group_size": 64,
1280
+ "mode": "affine"
1281
+ },
1282
+ "language_model.model.layers.31.mlp.shared_expert.down_proj": {
1283
+ "bits": 8,
1284
+ "group_size": 128,
1285
+ "mode": "affine"
1286
+ },
1287
+ "language_model.model.layers.31.mlp.shared_expert.gate_proj": {
1288
+ "bits": 8,
1289
+ "group_size": 128,
1290
+ "mode": "affine"
1291
+ },
1292
+ "language_model.model.layers.31.mlp.shared_expert.up_proj": {
1293
+ "bits": 8,
1294
+ "group_size": 128,
1295
+ "mode": "affine"
1296
+ },
1297
+ "language_model.model.layers.31.mlp.shared_expert_gate": {
1298
+ "bits": 8,
1299
+ "group_size": 64,
1300
+ "mode": "affine"
1301
+ },
1302
+ "language_model.model.layers.32.linear_attn.in_proj_a": {
1303
+ "bits": 6,
1304
+ "group_size": 64,
1305
+ "mode": "affine"
1306
+ },
1307
+ "language_model.model.layers.32.linear_attn.in_proj_b": {
1308
+ "bits": 6,
1309
+ "group_size": 64,
1310
+ "mode": "affine"
1311
+ },
1312
+ "language_model.model.layers.32.linear_attn.in_proj_z": {
1313
+ "bits": 5,
1314
+ "group_size": 128,
1315
+ "mode": "affine"
1316
+ },
1317
+ "language_model.model.layers.32.linear_attn.out_proj": {
1318
+ "bits": 5,
1319
+ "group_size": 128,
1320
+ "mode": "affine"
1321
+ },
1322
+ "language_model.model.layers.32.mlp.shared_expert.down_proj": {
1323
+ "bits": 8,
1324
+ "group_size": 128,
1325
+ "mode": "affine"
1326
+ },
1327
+ "language_model.model.layers.32.mlp.shared_expert.gate_proj": {
1328
+ "bits": 8,
1329
+ "group_size": 128,
1330
+ "mode": "affine"
1331
+ },
1332
+ "language_model.model.layers.32.mlp.shared_expert.up_proj": {
1333
+ "bits": 8,
1334
+ "group_size": 128,
1335
+ "mode": "affine"
1336
+ },
1337
+ "language_model.model.layers.32.mlp.shared_expert_gate": {
1338
+ "bits": 8,
1339
+ "group_size": 64,
1340
+ "mode": "affine"
1341
+ },
1342
+ "language_model.model.layers.33.linear_attn.in_proj_a": {
1343
+ "bits": 8,
1344
+ "group_size": 64,
1345
+ "mode": "affine"
1346
+ },
1347
+ "language_model.model.layers.33.linear_attn.in_proj_b": {
1348
+ "bits": 8,
1349
+ "group_size": 64,
1350
+ "mode": "affine"
1351
+ },
1352
+ "language_model.model.layers.33.linear_attn.in_proj_qkv": {
1353
+ "bits": 5,
1354
+ "group_size": 128,
1355
+ "mode": "affine"
1356
+ },
1357
+ "language_model.model.layers.33.linear_attn.in_proj_z": {
1358
+ "bits": 5,
1359
+ "group_size": 128,
1360
+ "mode": "affine"
1361
+ },
1362
+ "language_model.model.layers.33.linear_attn.out_proj": {
1363
+ "bits": 5,
1364
+ "group_size": 128,
1365
+ "mode": "affine"
1366
+ },
1367
+ "language_model.model.layers.33.mlp.shared_expert.down_proj": {
1368
+ "bits": 8,
1369
+ "group_size": 128,
1370
+ "mode": "affine"
1371
+ },
1372
+ "language_model.model.layers.33.mlp.shared_expert.gate_proj": {
1373
+ "bits": 8,
1374
+ "group_size": 128,
1375
+ "mode": "affine"
1376
+ },
1377
+ "language_model.model.layers.33.mlp.shared_expert.up_proj": {
1378
+ "bits": 8,
1379
+ "group_size": 128,
1380
+ "mode": "affine"
1381
+ },
1382
+ "language_model.model.layers.33.mlp.shared_expert_gate": {
1383
+ "bits": 8,
1384
+ "group_size": 64,
1385
+ "mode": "affine"
1386
+ },
1387
+ "language_model.model.layers.34.linear_attn.in_proj_a": {
1388
+ "bits": 6,
1389
+ "group_size": 64,
1390
+ "mode": "affine"
1391
+ },
1392
+ "language_model.model.layers.34.linear_attn.in_proj_b": {
1393
+ "bits": 6,
1394
+ "group_size": 64,
1395
+ "mode": "affine"
1396
+ },
1397
+ "language_model.model.layers.34.linear_attn.in_proj_z": {
1398
+ "bits": 5,
1399
+ "group_size": 128,
1400
+ "mode": "affine"
1401
+ },
1402
+ "language_model.model.layers.34.linear_attn.out_proj": {
1403
+ "bits": 5,
1404
+ "group_size": 128,
1405
+ "mode": "affine"
1406
+ },
1407
+ "language_model.model.layers.34.mlp.shared_expert.down_proj": {
1408
+ "bits": 8,
1409
+ "group_size": 128,
1410
+ "mode": "affine"
1411
+ },
1412
+ "language_model.model.layers.34.mlp.shared_expert.gate_proj": {
1413
+ "bits": 8,
1414
+ "group_size": 128,
1415
+ "mode": "affine"
1416
+ },
1417
+ "language_model.model.layers.34.mlp.shared_expert.up_proj": {
1418
+ "bits": 8,
1419
+ "group_size": 128,
1420
+ "mode": "affine"
1421
+ },
1422
+ "language_model.model.layers.34.mlp.shared_expert_gate": {
1423
+ "bits": 8,
1424
+ "group_size": 64,
1425
+ "mode": "affine"
1426
+ },
1427
+ "language_model.model.layers.35.mlp.shared_expert.down_proj": {
1428
+ "bits": 8,
1429
+ "group_size": 128,
1430
+ "mode": "affine"
1431
+ },
1432
+ "language_model.model.layers.35.mlp.shared_expert.gate_proj": {
1433
+ "bits": 8,
1434
+ "group_size": 128,
1435
+ "mode": "affine"
1436
+ },
1437
+ "language_model.model.layers.35.mlp.shared_expert.up_proj": {
1438
+ "bits": 8,
1439
+ "group_size": 128,
1440
+ "mode": "affine"
1441
+ },
1442
+ "language_model.model.layers.35.mlp.shared_expert_gate": {
1443
+ "bits": 8,
1444
+ "group_size": 64,
1445
+ "mode": "affine"
1446
+ },
1447
+ "language_model.model.layers.35.self_attn.k_proj": {
1448
+ "bits": 8,
1449
+ "group_size": 64,
1450
+ "mode": "affine"
1451
+ },
1452
+ "language_model.model.layers.35.self_attn.o_proj": {
1453
+ "bits": 8,
1454
+ "group_size": 64,
1455
+ "mode": "affine"
1456
+ },
1457
+ "language_model.model.layers.35.self_attn.q_proj": {
1458
+ "bits": 8,
1459
+ "group_size": 64,
1460
+ "mode": "affine"
1461
+ },
1462
+ "language_model.model.layers.35.self_attn.v_proj": {
1463
+ "bits": 8,
1464
+ "group_size": 64,
1465
+ "mode": "affine"
1466
+ },
1467
+ "language_model.model.layers.36.linear_attn.in_proj_a": {
1468
+ "bits": 8,
1469
+ "group_size": 64,
1470
+ "mode": "affine"
1471
+ },
1472
+ "language_model.model.layers.36.linear_attn.in_proj_b": {
1473
+ "bits": 8,
1474
+ "group_size": 64,
1475
+ "mode": "affine"
1476
+ },
1477
+ "language_model.model.layers.36.linear_attn.in_proj_qkv": {
1478
+ "bits": 8,
1479
+ "group_size": 64,
1480
+ "mode": "affine"
1481
+ },
1482
+ "language_model.model.layers.36.linear_attn.in_proj_z": {
1483
+ "bits": 8,
1484
+ "group_size": 64,
1485
+ "mode": "affine"
1486
+ },
1487
+ "language_model.model.layers.36.linear_attn.out_proj": {
1488
+ "bits": 5,
1489
+ "group_size": 128,
1490
+ "mode": "affine"
1491
+ },
1492
+ "language_model.model.layers.36.mlp.shared_expert.down_proj": {
1493
+ "bits": 8,
1494
+ "group_size": 128,
1495
+ "mode": "affine"
1496
+ },
1497
+ "language_model.model.layers.36.mlp.shared_expert.gate_proj": {
1498
+ "bits": 8,
1499
+ "group_size": 128,
1500
+ "mode": "affine"
1501
+ },
1502
+ "language_model.model.layers.36.mlp.shared_expert.up_proj": {
1503
+ "bits": 8,
1504
+ "group_size": 128,
1505
+ "mode": "affine"
1506
+ },
1507
+ "language_model.model.layers.36.mlp.shared_expert_gate": {
1508
+ "bits": 8,
1509
+ "group_size": 64,
1510
+ "mode": "affine"
1511
+ },
1512
+ "language_model.model.layers.37.linear_attn.in_proj_a": {
1513
+ "bits": 8,
1514
+ "group_size": 64,
1515
+ "mode": "affine"
1516
+ },
1517
+ "language_model.model.layers.37.linear_attn.in_proj_b": {
1518
+ "bits": 8,
1519
+ "group_size": 64,
1520
+ "mode": "affine"
1521
+ },
1522
+ "language_model.model.layers.37.linear_attn.in_proj_qkv": {
1523
+ "bits": 5,
1524
+ "group_size": 128,
1525
+ "mode": "affine"
1526
+ },
1527
+ "language_model.model.layers.37.linear_attn.in_proj_z": {
1528
+ "bits": 5,
1529
+ "group_size": 128,
1530
+ "mode": "affine"
1531
+ },
1532
+ "language_model.model.layers.37.linear_attn.out_proj": {
1533
+ "bits": 5,
1534
+ "group_size": 128,
1535
+ "mode": "affine"
1536
+ },
1537
+ "language_model.model.layers.37.mlp.shared_expert.down_proj": {
1538
+ "bits": 8,
1539
+ "group_size": 128,
1540
+ "mode": "affine"
1541
+ },
1542
+ "language_model.model.layers.37.mlp.shared_expert.gate_proj": {
1543
+ "bits": 8,
1544
+ "group_size": 128,
1545
+ "mode": "affine"
1546
+ },
1547
+ "language_model.model.layers.37.mlp.shared_expert.up_proj": {
1548
+ "bits": 8,
1549
+ "group_size": 128,
1550
+ "mode": "affine"
1551
+ },
1552
+ "language_model.model.layers.37.mlp.shared_expert_gate": {
1553
+ "bits": 8,
1554
+ "group_size": 64,
1555
+ "mode": "affine"
1556
+ },
1557
+ "language_model.model.layers.38.linear_attn.in_proj_a": {
1558
+ "bits": 8,
1559
+ "group_size": 64,
1560
+ "mode": "affine"
1561
+ },
1562
+ "language_model.model.layers.38.linear_attn.in_proj_b": {
1563
+ "bits": 8,
1564
+ "group_size": 64,
1565
+ "mode": "affine"
1566
+ },
1567
+ "language_model.model.layers.38.linear_attn.in_proj_qkv": {
1568
+ "bits": 5,
1569
+ "group_size": 128,
1570
+ "mode": "affine"
1571
+ },
1572
+ "language_model.model.layers.38.linear_attn.in_proj_z": {
1573
+ "bits": 5,
1574
+ "group_size": 128,
1575
+ "mode": "affine"
1576
+ },
1577
+ "language_model.model.layers.38.linear_attn.out_proj": {
1578
+ "bits": 5,
1579
+ "group_size": 128,
1580
+ "mode": "affine"
1581
+ },
1582
+ "language_model.model.layers.38.mlp.shared_expert.down_proj": {
1583
+ "bits": 8,
1584
+ "group_size": 128,
1585
+ "mode": "affine"
1586
+ },
1587
+ "language_model.model.layers.38.mlp.shared_expert.gate_proj": {
1588
+ "bits": 8,
1589
+ "group_size": 128,
1590
+ "mode": "affine"
1591
+ },
1592
+ "language_model.model.layers.38.mlp.shared_expert.up_proj": {
1593
+ "bits": 8,
1594
+ "group_size": 128,
1595
+ "mode": "affine"
1596
+ },
1597
+ "language_model.model.layers.38.mlp.shared_expert_gate": {
1598
+ "bits": 8,
1599
+ "group_size": 64,
1600
+ "mode": "affine"
1601
+ },
1602
+ "language_model.lm_head": {
1603
+ "bits": 8,
1604
+ "group_size": 64,
1605
+ "mode": "affine"
1606
+ },
1607
+ "language_model.model.layers.39.mlp.shared_expert.down_proj": {
1608
+ "bits": 8,
1609
+ "group_size": 128,
1610
+ "mode": "affine"
1611
+ },
1612
+ "language_model.model.layers.39.mlp.shared_expert.gate_proj": {
1613
+ "bits": 8,
1614
+ "group_size": 128,
1615
+ "mode": "affine"
1616
+ },
1617
+ "language_model.model.layers.39.mlp.shared_expert.up_proj": {
1618
+ "bits": 8,
1619
+ "group_size": 128,
1620
+ "mode": "affine"
1621
+ },
1622
+ "language_model.model.layers.39.mlp.shared_expert_gate": {
1623
+ "bits": 8,
1624
+ "group_size": 64,
1625
+ "mode": "affine"
1626
+ },
1627
+ "language_model.model.layers.39.self_attn.k_proj": {
1628
+ "bits": 8,
1629
+ "group_size": 64,
1630
+ "mode": "affine"
1631
+ },
1632
+ "language_model.model.layers.39.self_attn.o_proj": {
1633
+ "bits": 8,
1634
+ "group_size": 64,
1635
+ "mode": "affine"
1636
+ },
1637
+ "language_model.model.layers.39.self_attn.q_proj": {
1638
+ "bits": 8,
1639
+ "group_size": 64,
1640
+ "mode": "affine"
1641
+ },
1642
+ "language_model.model.layers.39.self_attn.v_proj": {
1643
+ "bits": 8,
1644
+ "group_size": 64,
1645
+ "mode": "affine"
1646
+ },
1647
+ "language_model.mtp.layers.0.mlp.shared_expert.down_proj": {
1648
+ "bits": 8,
1649
+ "group_size": 128,
1650
+ "mode": "affine"
1651
+ },
1652
+ "language_model.mtp.layers.0.mlp.shared_expert.gate_proj": {
1653
+ "bits": 8,
1654
+ "group_size": 128,
1655
+ "mode": "affine"
1656
+ },
1657
+ "language_model.mtp.layers.0.mlp.shared_expert.up_proj": {
1658
+ "bits": 8,
1659
+ "group_size": 128,
1660
+ "mode": "affine"
1661
+ },
1662
+ "language_model.mtp.layers.0.mlp.shared_expert_gate": {
1663
+ "bits": 8,
1664
+ "group_size": 64,
1665
+ "mode": "affine"
1666
+ },
1667
+ "language_model.mtp.layers.0.self_attn.k_proj": {
1668
+ "bits": 8,
1669
+ "group_size": 64,
1670
+ "mode": "affine"
1671
+ },
1672
+ "language_model.mtp.layers.0.self_attn.o_proj": {
1673
+ "bits": 8,
1674
+ "group_size": 64,
1675
+ "mode": "affine"
1676
+ },
1677
+ "language_model.mtp.layers.0.self_attn.q_proj": {
1678
+ "bits": 8,
1679
+ "group_size": 64,
1680
+ "mode": "affine"
1681
+ },
1682
+ "language_model.mtp.layers.0.self_attn.v_proj": {
1683
+ "bits": 8,
1684
+ "group_size": 64,
1685
+ "mode": "affine"
1686
+ }
1687
+ },
1688
+ "quantization_config": {
1689
+ "group_size": 64,
1690
+ "bits": 4,
1691
+ "mode": "affine",
1692
+ "language_model.model.embed_tokens": {
1693
+ "bits": 8,
1694
+ "group_size": 64,
1695
+ "mode": "affine"
1696
+ },
1697
+ "language_model.model.layers.0.linear_attn.in_proj_qkv": {
1698
+ "bits": 8,
1699
+ "group_size": 64,
1700
+ "mode": "affine"
1701
+ },
1702
+ "language_model.model.layers.0.linear_attn.in_proj_z": {
1703
+ "bits": 8,
1704
+ "group_size": 64,
1705
+ "mode": "affine"
1706
+ },
1707
+ "language_model.model.layers.0.linear_attn.out_proj": {
1708
+ "bits": 5,
1709
+ "group_size": 128,
1710
+ "mode": "affine"
1711
+ },
1712
+ "language_model.model.layers.1.linear_attn.in_proj_z": {
1713
+ "bits": 5,
1714
+ "group_size": 128,
1715
+ "mode": "affine"
1716
+ },
1717
+ "language_model.model.layers.1.linear_attn.out_proj": {
1718
+ "bits": 5,
1719
+ "group_size": 128,
1720
+ "mode": "affine"
1721
+ },
1722
+ "language_model.model.layers.0.linear_attn.in_proj_a": {
1723
+ "bits": 8,
1724
+ "group_size": 64,
1725
+ "mode": "affine"
1726
+ },
1727
+ "language_model.model.layers.0.linear_attn.in_proj_b": {
1728
+ "bits": 8,
1729
+ "group_size": 64,
1730
+ "mode": "affine"
1731
+ },
1732
+ "language_model.model.layers.0.mlp.shared_expert.down_proj": {
1733
+ "bits": 8,
1734
+ "group_size": 128,
1735
+ "mode": "affine"
1736
+ },
1737
+ "language_model.model.layers.0.mlp.shared_expert.gate_proj": {
1738
+ "bits": 8,
1739
+ "group_size": 128,
1740
+ "mode": "affine"
1741
+ },
1742
+ "language_model.model.layers.0.mlp.shared_expert.up_proj": {
1743
+ "bits": 8,
1744
+ "group_size": 128,
1745
+ "mode": "affine"
1746
+ },
1747
+ "language_model.model.layers.0.mlp.shared_expert_gate": {
1748
+ "bits": 8,
1749
+ "group_size": 64,
1750
+ "mode": "affine"
1751
+ },
1752
+ "language_model.model.layers.1.linear_attn.in_proj_a": {
1753
+ "bits": 6,
1754
+ "group_size": 64,
1755
+ "mode": "affine"
1756
+ },
1757
+ "language_model.model.layers.1.linear_attn.in_proj_b": {
1758
+ "bits": 6,
1759
+ "group_size": 64,
1760
+ "mode": "affine"
1761
+ },
1762
+ "language_model.model.layers.1.mlp.shared_expert.down_proj": {
1763
+ "bits": 8,
1764
+ "group_size": 128,
1765
+ "mode": "affine"
1766
+ },
1767
+ "language_model.model.layers.1.mlp.shared_expert.gate_proj": {
1768
+ "bits": 8,
1769
+ "group_size": 128,
1770
+ "mode": "affine"
1771
+ },
1772
+ "language_model.model.layers.1.mlp.shared_expert.up_proj": {
1773
+ "bits": 8,
1774
+ "group_size": 128,
1775
+ "mode": "affine"
1776
+ },
1777
+ "language_model.model.layers.1.mlp.shared_expert_gate": {
1778
+ "bits": 8,
1779
+ "group_size": 64,
1780
+ "mode": "affine"
1781
+ },
1782
+ "language_model.model.layers.2.linear_attn.in_proj_a": {
1783
+ "bits": 5,
1784
+ "group_size": 128,
1785
+ "mode": "affine"
1786
+ },
1787
+ "language_model.model.layers.2.linear_attn.in_proj_b": {
1788
+ "bits": 5,
1789
+ "group_size": 128,
1790
+ "mode": "affine"
1791
+ },
1792
+ "language_model.model.layers.2.linear_attn.in_proj_z": {
1793
+ "bits": 5,
1794
+ "group_size": 128,
1795
+ "mode": "affine"
1796
+ },
1797
+ "language_model.model.layers.2.linear_attn.out_proj": {
1798
+ "bits": 5,
1799
+ "group_size": 128,
1800
+ "mode": "affine"
1801
+ },
1802
+ "language_model.model.layers.2.mlp.shared_expert.down_proj": {
1803
+ "bits": 8,
1804
+ "group_size": 128,
1805
+ "mode": "affine"
1806
+ },
1807
+ "language_model.model.layers.2.mlp.shared_expert.gate_proj": {
1808
+ "bits": 8,
1809
+ "group_size": 128,
1810
+ "mode": "affine"
1811
+ },
1812
+ "language_model.model.layers.2.mlp.shared_expert.up_proj": {
1813
+ "bits": 8,
1814
+ "group_size": 128,
1815
+ "mode": "affine"
1816
+ },
1817
+ "language_model.model.layers.2.mlp.shared_expert_gate": {
1818
+ "bits": 8,
1819
+ "group_size": 64,
1820
+ "mode": "affine"
1821
+ },
1822
+ "language_model.model.layers.3.mlp.shared_expert.down_proj": {
1823
+ "bits": 8,
1824
+ "group_size": 128,
1825
+ "mode": "affine"
1826
+ },
1827
+ "language_model.model.layers.3.mlp.shared_expert.gate_proj": {
1828
+ "bits": 8,
1829
+ "group_size": 128,
1830
+ "mode": "affine"
1831
+ },
1832
+ "language_model.model.layers.3.mlp.shared_expert.up_proj": {
1833
+ "bits": 8,
1834
+ "group_size": 128,
1835
+ "mode": "affine"
1836
+ },
1837
+ "language_model.model.layers.3.mlp.shared_expert_gate": {
1838
+ "bits": 8,
1839
+ "group_size": 64,
1840
+ "mode": "affine"
1841
+ },
1842
+ "language_model.model.layers.3.self_attn.k_proj": {
1843
+ "bits": 6,
1844
+ "group_size": 64,
1845
+ "mode": "affine"
1846
+ },
1847
+ "language_model.model.layers.4.linear_attn.in_proj_a": {
1848
+ "bits": 5,
1849
+ "group_size": 128,
1850
+ "mode": "affine"
1851
+ },
1852
+ "language_model.model.layers.4.linear_attn.in_proj_b": {
1853
+ "bits": 5,
1854
+ "group_size": 128,
1855
+ "mode": "affine"
1856
+ },
1857
+ "language_model.model.layers.4.linear_attn.in_proj_z": {
1858
+ "bits": 5,
1859
+ "group_size": 128,
1860
+ "mode": "affine"
1861
+ },
1862
+ "language_model.model.layers.4.linear_attn.out_proj": {
1863
+ "bits": 5,
1864
+ "group_size": 128,
1865
+ "mode": "affine"
1866
+ },
1867
+ "language_model.model.layers.4.mlp.shared_expert.down_proj": {
1868
+ "bits": 8,
1869
+ "group_size": 128,
1870
+ "mode": "affine"
1871
+ },
1872
+ "language_model.model.layers.4.mlp.shared_expert.gate_proj": {
1873
+ "bits": 8,
1874
+ "group_size": 128,
1875
+ "mode": "affine"
1876
+ },
1877
+ "language_model.model.layers.4.mlp.shared_expert.up_proj": {
1878
+ "bits": 8,
1879
+ "group_size": 128,
1880
+ "mode": "affine"
1881
+ },
1882
+ "language_model.model.layers.4.mlp.shared_expert_gate": {
1883
+ "bits": 8,
1884
+ "group_size": 64,
1885
+ "mode": "affine"
1886
+ },
1887
+ "language_model.model.layers.5.linear_attn.in_proj_a": {
1888
+ "bits": 5,
1889
+ "group_size": 128,
1890
+ "mode": "affine"
1891
+ },
1892
+ "language_model.model.layers.5.linear_attn.in_proj_b": {
1893
+ "bits": 5,
1894
+ "group_size": 128,
1895
+ "mode": "affine"
1896
+ },
1897
+ "language_model.model.layers.5.linear_attn.in_proj_z": {
1898
+ "bits": 5,
1899
+ "group_size": 128,
1900
+ "mode": "affine"
1901
+ },
1902
+ "language_model.model.layers.5.linear_attn.out_proj": {
1903
+ "bits": 5,
1904
+ "group_size": 128,
1905
+ "mode": "affine"
1906
+ },
1907
+ "language_model.model.layers.5.mlp.shared_expert.down_proj": {
1908
+ "bits": 8,
1909
+ "group_size": 128,
1910
+ "mode": "affine"
1911
+ },
1912
+ "language_model.model.layers.5.mlp.shared_expert.gate_proj": {
1913
+ "bits": 8,
1914
+ "group_size": 128,
1915
+ "mode": "affine"
1916
+ },
1917
+ "language_model.model.layers.5.mlp.shared_expert.up_proj": {
1918
+ "bits": 8,
1919
+ "group_size": 128,
1920
+ "mode": "affine"
1921
+ },
1922
+ "language_model.model.layers.5.mlp.shared_expert_gate": {
1923
+ "bits": 8,
1924
+ "group_size": 64,
1925
+ "mode": "affine"
1926
+ },
1927
+ "language_model.model.layers.6.linear_attn.in_proj_a": {
1928
+ "bits": 5,
1929
+ "group_size": 128,
1930
+ "mode": "affine"
1931
+ },
1932
+ "language_model.model.layers.6.linear_attn.in_proj_b": {
1933
+ "bits": 5,
1934
+ "group_size": 128,
1935
+ "mode": "affine"
1936
+ },
1937
+ "language_model.model.layers.6.linear_attn.in_proj_z": {
1938
+ "bits": 5,
1939
+ "group_size": 128,
1940
+ "mode": "affine"
1941
+ },
1942
+ "language_model.model.layers.6.linear_attn.out_proj": {
1943
+ "bits": 5,
1944
+ "group_size": 128,
1945
+ "mode": "affine"
1946
+ },
1947
+ "language_model.model.layers.6.mlp.shared_expert.down_proj": {
1948
+ "bits": 8,
1949
+ "group_size": 128,
1950
+ "mode": "affine"
1951
+ },
1952
+ "language_model.model.layers.6.mlp.shared_expert.gate_proj": {
1953
+ "bits": 8,
1954
+ "group_size": 128,
1955
+ "mode": "affine"
1956
+ },
1957
+ "language_model.model.layers.6.mlp.shared_expert.up_proj": {
1958
+ "bits": 8,
1959
+ "group_size": 128,
1960
+ "mode": "affine"
1961
+ },
1962
+ "language_model.model.layers.6.mlp.shared_expert_gate": {
1963
+ "bits": 8,
1964
+ "group_size": 64,
1965
+ "mode": "affine"
1966
+ },
1967
+ "language_model.model.layers.7.mlp.shared_expert.down_proj": {
1968
+ "bits": 8,
1969
+ "group_size": 128,
1970
+ "mode": "affine"
1971
+ },
1972
+ "language_model.model.layers.7.mlp.shared_expert.gate_proj": {
1973
+ "bits": 8,
1974
+ "group_size": 128,
1975
+ "mode": "affine"
1976
+ },
1977
+ "language_model.model.layers.7.mlp.shared_expert.up_proj": {
1978
+ "bits": 8,
1979
+ "group_size": 128,
1980
+ "mode": "affine"
1981
+ },
1982
+ "language_model.model.layers.7.mlp.shared_expert_gate": {
1983
+ "bits": 8,
1984
+ "group_size": 64,
1985
+ "mode": "affine"
1986
+ },
1987
+ "language_model.model.layers.7.self_attn.k_proj": {
1988
+ "bits": 8,
1989
+ "group_size": 64,
1990
+ "mode": "affine"
1991
+ },
1992
+ "language_model.model.layers.7.self_attn.q_proj": {
1993
+ "bits": 5,
1994
+ "group_size": 128,
1995
+ "mode": "affine"
1996
+ },
1997
+ "language_model.model.layers.7.self_attn.v_proj": {
1998
+ "bits": 8,
1999
+ "group_size": 64,
2000
+ "mode": "affine"
2001
+ },
2002
+ "language_model.model.layers.10.linear_attn.in_proj_qkv": {
2003
+ "bits": 5,
2004
+ "group_size": 128,
2005
+ "mode": "affine"
2006
+ },
2007
+ "language_model.model.layers.10.linear_attn.in_proj_z": {
2008
+ "bits": 5,
2009
+ "group_size": 128,
2010
+ "mode": "affine"
2011
+ },
2012
+ "language_model.model.layers.10.linear_attn.out_proj": {
2013
+ "bits": 5,
2014
+ "group_size": 128,
2015
+ "mode": "affine"
2016
+ },
2017
+ "language_model.model.layers.8.linear_attn.in_proj_z": {
2018
+ "bits": 5,
2019
+ "group_size": 128,
2020
+ "mode": "affine"
2021
+ },
2022
+ "language_model.model.layers.8.linear_attn.out_proj": {
2023
+ "bits": 5,
2024
+ "group_size": 128,
2025
+ "mode": "affine"
2026
+ },
2027
+ "language_model.model.layers.9.linear_attn.in_proj_z": {
2028
+ "bits": 5,
2029
+ "group_size": 128,
2030
+ "mode": "affine"
2031
+ },
2032
+ "language_model.model.layers.9.linear_attn.out_proj": {
2033
+ "bits": 5,
2034
+ "group_size": 128,
2035
+ "mode": "affine"
2036
+ },
2037
+ "language_model.model.layers.10.linear_attn.in_proj_a": {
2038
+ "bits": 8,
2039
+ "group_size": 64,
2040
+ "mode": "affine"
2041
+ },
2042
+ "language_model.model.layers.10.linear_attn.in_proj_b": {
2043
+ "bits": 8,
2044
+ "group_size": 64,
2045
+ "mode": "affine"
2046
+ },
2047
+ "language_model.model.layers.10.mlp.shared_expert.down_proj": {
2048
+ "bits": 8,
2049
+ "group_size": 128,
2050
+ "mode": "affine"
2051
+ },
2052
+ "language_model.model.layers.10.mlp.shared_expert.gate_proj": {
2053
+ "bits": 8,
2054
+ "group_size": 128,
2055
+ "mode": "affine"
2056
+ },
2057
+ "language_model.model.layers.10.mlp.shared_expert.up_proj": {
2058
+ "bits": 8,
2059
+ "group_size": 128,
2060
+ "mode": "affine"
2061
+ },
2062
+ "language_model.model.layers.10.mlp.shared_expert_gate": {
2063
+ "bits": 8,
2064
+ "group_size": 64,
2065
+ "mode": "affine"
2066
+ },
2067
+ "language_model.model.layers.8.linear_attn.in_proj_a": {
2068
+ "bits": 6,
2069
+ "group_size": 64,
2070
+ "mode": "affine"
2071
+ },
2072
+ "language_model.model.layers.8.linear_attn.in_proj_b": {
2073
+ "bits": 6,
2074
+ "group_size": 64,
2075
+ "mode": "affine"
2076
+ },
2077
+ "language_model.model.layers.8.mlp.shared_expert.down_proj": {
2078
+ "bits": 8,
2079
+ "group_size": 128,
2080
+ "mode": "affine"
2081
+ },
2082
+ "language_model.model.layers.8.mlp.shared_expert.gate_proj": {
2083
+ "bits": 8,
2084
+ "group_size": 128,
2085
+ "mode": "affine"
2086
+ },
2087
+ "language_model.model.layers.8.mlp.shared_expert.up_proj": {
2088
+ "bits": 8,
2089
+ "group_size": 128,
2090
+ "mode": "affine"
2091
+ },
2092
+ "language_model.model.layers.8.mlp.shared_expert_gate": {
2093
+ "bits": 8,
2094
+ "group_size": 64,
2095
+ "mode": "affine"
2096
+ },
2097
+ "language_model.model.layers.9.linear_attn.in_proj_a": {
2098
+ "bits": 6,
2099
+ "group_size": 64,
2100
+ "mode": "affine"
2101
+ },
2102
+ "language_model.model.layers.9.linear_attn.in_proj_b": {
2103
+ "bits": 6,
2104
+ "group_size": 64,
2105
+ "mode": "affine"
2106
+ },
2107
+ "language_model.model.layers.9.mlp.shared_expert.down_proj": {
2108
+ "bits": 8,
2109
+ "group_size": 128,
2110
+ "mode": "affine"
2111
+ },
2112
+ "language_model.model.layers.9.mlp.shared_expert.gate_proj": {
2113
+ "bits": 8,
2114
+ "group_size": 128,
2115
+ "mode": "affine"
2116
+ },
2117
+ "language_model.model.layers.9.mlp.shared_expert.up_proj": {
2118
+ "bits": 8,
2119
+ "group_size": 128,
2120
+ "mode": "affine"
2121
+ },
2122
+ "language_model.model.layers.9.mlp.shared_expert_gate": {
2123
+ "bits": 8,
2124
+ "group_size": 64,
2125
+ "mode": "affine"
2126
+ },
2127
+ "language_model.model.layers.12.linear_attn.in_proj_z": {
2128
+ "bits": 5,
2129
+ "group_size": 128,
2130
+ "mode": "affine"
2131
+ },
2132
+ "language_model.model.layers.12.linear_attn.out_proj": {
2133
+ "bits": 5,
2134
+ "group_size": 128,
2135
+ "mode": "affine"
2136
+ },
2137
+ "language_model.model.layers.13.linear_attn.in_proj_z": {
2138
+ "bits": 5,
2139
+ "group_size": 128,
2140
+ "mode": "affine"
2141
+ },
2142
+ "language_model.model.layers.13.linear_attn.out_proj": {
2143
+ "bits": 5,
2144
+ "group_size": 128,
2145
+ "mode": "affine"
2146
+ },
2147
+ "language_model.model.layers.11.mlp.shared_expert.down_proj": {
2148
+ "bits": 8,
2149
+ "group_size": 128,
2150
+ "mode": "affine"
2151
+ },
2152
+ "language_model.model.layers.11.mlp.shared_expert.gate_proj": {
2153
+ "bits": 8,
2154
+ "group_size": 128,
2155
+ "mode": "affine"
2156
+ },
2157
+ "language_model.model.layers.11.mlp.shared_expert.up_proj": {
2158
+ "bits": 8,
2159
+ "group_size": 128,
2160
+ "mode": "affine"
2161
+ },
2162
+ "language_model.model.layers.11.mlp.shared_expert_gate": {
2163
+ "bits": 8,
2164
+ "group_size": 64,
2165
+ "mode": "affine"
2166
+ },
2167
+ "language_model.model.layers.12.linear_attn.in_proj_a": {
2168
+ "bits": 5,
2169
+ "group_size": 128,
2170
+ "mode": "affine"
2171
+ },
2172
+ "language_model.model.layers.12.linear_attn.in_proj_b": {
2173
+ "bits": 5,
2174
+ "group_size": 128,
2175
+ "mode": "affine"
2176
+ },
2177
+ "language_model.model.layers.12.mlp.shared_expert.down_proj": {
2178
+ "bits": 8,
2179
+ "group_size": 128,
2180
+ "mode": "affine"
2181
+ },
2182
+ "language_model.model.layers.12.mlp.shared_expert.gate_proj": {
2183
+ "bits": 8,
2184
+ "group_size": 128,
2185
+ "mode": "affine"
2186
+ },
2187
+ "language_model.model.layers.12.mlp.shared_expert.up_proj": {
2188
+ "bits": 8,
2189
+ "group_size": 128,
2190
+ "mode": "affine"
2191
+ },
2192
+ "language_model.model.layers.12.mlp.shared_expert_gate": {
2193
+ "bits": 8,
2194
+ "group_size": 64,
2195
+ "mode": "affine"
2196
+ },
2197
+ "language_model.model.layers.13.linear_attn.in_proj_a": {
2198
+ "bits": 5,
2199
+ "group_size": 128,
2200
+ "mode": "affine"
2201
+ },
2202
+ "language_model.model.layers.13.linear_attn.in_proj_b": {
2203
+ "bits": 5,
2204
+ "group_size": 128,
2205
+ "mode": "affine"
2206
+ },
2207
+ "language_model.model.layers.13.mlp.shared_expert.down_proj": {
2208
+ "bits": 8,
2209
+ "group_size": 128,
2210
+ "mode": "affine"
2211
+ },
2212
+ "language_model.model.layers.13.mlp.shared_expert.gate_proj": {
2213
+ "bits": 8,
2214
+ "group_size": 128,
2215
+ "mode": "affine"
2216
+ },
2217
+ "language_model.model.layers.13.mlp.shared_expert.up_proj": {
2218
+ "bits": 8,
2219
+ "group_size": 128,
2220
+ "mode": "affine"
2221
+ },
2222
+ "language_model.model.layers.13.mlp.shared_expert_gate": {
2223
+ "bits": 8,
2224
+ "group_size": 64,
2225
+ "mode": "affine"
2226
+ },
2227
+ "language_model.model.layers.14.linear_attn.in_proj_z": {
2228
+ "bits": 5,
2229
+ "group_size": 128,
2230
+ "mode": "affine"
2231
+ },
2232
+ "language_model.model.layers.14.linear_attn.out_proj": {
2233
+ "bits": 5,
2234
+ "group_size": 128,
2235
+ "mode": "affine"
2236
+ },
2237
+ "language_model.model.layers.16.linear_attn.in_proj_z": {
2238
+ "bits": 5,
2239
+ "group_size": 128,
2240
+ "mode": "affine"
2241
+ },
2242
+ "language_model.model.layers.16.linear_attn.out_proj": {
2243
+ "bits": 5,
2244
+ "group_size": 128,
2245
+ "mode": "affine"
2246
+ },
2247
+ "language_model.model.layers.14.linear_attn.in_proj_a": {
2248
+ "bits": 5,
2249
+ "group_size": 128,
2250
+ "mode": "affine"
2251
+ },
2252
+ "language_model.model.layers.14.linear_attn.in_proj_b": {
2253
+ "bits": 5,
2254
+ "group_size": 128,
2255
+ "mode": "affine"
2256
+ },
2257
+ "language_model.model.layers.14.mlp.shared_expert.down_proj": {
2258
+ "bits": 8,
2259
+ "group_size": 128,
2260
+ "mode": "affine"
2261
+ },
2262
+ "language_model.model.layers.14.mlp.shared_expert.gate_proj": {
2263
+ "bits": 8,
2264
+ "group_size": 128,
2265
+ "mode": "affine"
2266
+ },
2267
+ "language_model.model.layers.14.mlp.shared_expert.up_proj": {
2268
+ "bits": 8,
2269
+ "group_size": 128,
2270
+ "mode": "affine"
2271
+ },
2272
+ "language_model.model.layers.14.mlp.shared_expert_gate": {
2273
+ "bits": 8,
2274
+ "group_size": 64,
2275
+ "mode": "affine"
2276
+ },
2277
+ "language_model.model.layers.15.mlp.shared_expert.down_proj": {
2278
+ "bits": 8,
2279
+ "group_size": 128,
2280
+ "mode": "affine"
2281
+ },
2282
+ "language_model.model.layers.15.mlp.shared_expert.gate_proj": {
2283
+ "bits": 8,
2284
+ "group_size": 128,
2285
+ "mode": "affine"
2286
+ },
2287
+ "language_model.model.layers.15.mlp.shared_expert.up_proj": {
2288
+ "bits": 8,
2289
+ "group_size": 128,
2290
+ "mode": "affine"
2291
+ },
2292
+ "language_model.model.layers.15.mlp.shared_expert_gate": {
2293
+ "bits": 8,
2294
+ "group_size": 64,
2295
+ "mode": "affine"
2296
+ },
2297
+ "language_model.model.layers.16.linear_attn.in_proj_a": {
2298
+ "bits": 5,
2299
+ "group_size": 128,
2300
+ "mode": "affine"
2301
+ },
2302
+ "language_model.model.layers.16.linear_attn.in_proj_b": {
2303
+ "bits": 5,
2304
+ "group_size": 128,
2305
+ "mode": "affine"
2306
+ },
2307
+ "language_model.model.layers.16.mlp.shared_expert.down_proj": {
2308
+ "bits": 8,
2309
+ "group_size": 128,
2310
+ "mode": "affine"
2311
+ },
2312
+ "language_model.model.layers.16.mlp.shared_expert.gate_proj": {
2313
+ "bits": 8,
2314
+ "group_size": 128,
2315
+ "mode": "affine"
2316
+ },
2317
+ "language_model.model.layers.16.mlp.shared_expert.up_proj": {
2318
+ "bits": 8,
2319
+ "group_size": 128,
2320
+ "mode": "affine"
2321
+ },
2322
+ "language_model.model.layers.16.mlp.shared_expert_gate": {
2323
+ "bits": 8,
2324
+ "group_size": 64,
2325
+ "mode": "affine"
2326
+ },
2327
+ "language_model.model.layers.17.linear_attn.in_proj_z": {
2328
+ "bits": 5,
2329
+ "group_size": 128,
2330
+ "mode": "affine"
2331
+ },
2332
+ "language_model.model.layers.17.linear_attn.out_proj": {
2333
+ "bits": 5,
2334
+ "group_size": 128,
2335
+ "mode": "affine"
2336
+ },
2337
+ "language_model.model.layers.18.linear_attn.in_proj_z": {
2338
+ "bits": 5,
2339
+ "group_size": 128,
2340
+ "mode": "affine"
2341
+ },
2342
+ "language_model.model.layers.18.linear_attn.out_proj": {
2343
+ "bits": 5,
2344
+ "group_size": 128,
2345
+ "mode": "affine"
2346
+ },
2347
+ "language_model.model.layers.17.linear_attn.in_proj_a": {
2348
+ "bits": 5,
2349
+ "group_size": 128,
2350
+ "mode": "affine"
2351
+ },
2352
+ "language_model.model.layers.17.linear_attn.in_proj_b": {
2353
+ "bits": 5,
2354
+ "group_size": 128,
2355
+ "mode": "affine"
2356
+ },
2357
+ "language_model.model.layers.17.mlp.shared_expert.down_proj": {
2358
+ "bits": 8,
2359
+ "group_size": 128,
2360
+ "mode": "affine"
2361
+ },
2362
+ "language_model.model.layers.17.mlp.shared_expert.gate_proj": {
2363
+ "bits": 8,
2364
+ "group_size": 128,
2365
+ "mode": "affine"
2366
+ },
2367
+ "language_model.model.layers.17.mlp.shared_expert.up_proj": {
2368
+ "bits": 8,
2369
+ "group_size": 128,
2370
+ "mode": "affine"
2371
+ },
2372
+ "language_model.model.layers.17.mlp.shared_expert_gate": {
2373
+ "bits": 8,
2374
+ "group_size": 64,
2375
+ "mode": "affine"
2376
+ },
2377
+ "language_model.model.layers.18.linear_attn.in_proj_a": {
2378
+ "bits": 5,
2379
+ "group_size": 128,
2380
+ "mode": "affine"
2381
+ },
2382
+ "language_model.model.layers.18.linear_attn.in_proj_b": {
2383
+ "bits": 5,
2384
+ "group_size": 128,
2385
+ "mode": "affine"
2386
+ },
2387
+ "language_model.model.layers.18.mlp.shared_expert.down_proj": {
2388
+ "bits": 8,
2389
+ "group_size": 128,
2390
+ "mode": "affine"
2391
+ },
2392
+ "language_model.model.layers.18.mlp.shared_expert.gate_proj": {
2393
+ "bits": 8,
2394
+ "group_size": 128,
2395
+ "mode": "affine"
2396
+ },
2397
+ "language_model.model.layers.18.mlp.shared_expert.up_proj": {
2398
+ "bits": 8,
2399
+ "group_size": 128,
2400
+ "mode": "affine"
2401
+ },
2402
+ "language_model.model.layers.18.mlp.shared_expert_gate": {
2403
+ "bits": 8,
2404
+ "group_size": 64,
2405
+ "mode": "affine"
2406
+ },
2407
+ "language_model.model.layers.19.mlp.shared_expert.down_proj": {
2408
+ "bits": 8,
2409
+ "group_size": 128,
2410
+ "mode": "affine"
2411
+ },
2412
+ "language_model.model.layers.19.mlp.shared_expert.gate_proj": {
2413
+ "bits": 8,
2414
+ "group_size": 128,
2415
+ "mode": "affine"
2416
+ },
2417
+ "language_model.model.layers.19.mlp.shared_expert.up_proj": {
2418
+ "bits": 8,
2419
+ "group_size": 128,
2420
+ "mode": "affine"
2421
+ },
2422
+ "language_model.model.layers.19.mlp.shared_expert_gate": {
2423
+ "bits": 8,
2424
+ "group_size": 64,
2425
+ "mode": "affine"
2426
+ },
2427
+ "language_model.model.layers.20.linear_attn.in_proj_z": {
2428
+ "bits": 5,
2429
+ "group_size": 128,
2430
+ "mode": "affine"
2431
+ },
2432
+ "language_model.model.layers.20.linear_attn.out_proj": {
2433
+ "bits": 5,
2434
+ "group_size": 128,
2435
+ "mode": "affine"
2436
+ },
2437
+ "language_model.model.layers.21.linear_attn.in_proj_z": {
2438
+ "bits": 5,
2439
+ "group_size": 128,
2440
+ "mode": "affine"
2441
+ },
2442
+ "language_model.model.layers.21.linear_attn.out_proj": {
2443
+ "bits": 5,
2444
+ "group_size": 128,
2445
+ "mode": "affine"
2446
+ },
2447
+ "language_model.model.layers.22.linear_attn.in_proj_z": {
2448
+ "bits": 5,
2449
+ "group_size": 128,
2450
+ "mode": "affine"
2451
+ },
2452
+ "language_model.model.layers.22.linear_attn.out_proj": {
2453
+ "bits": 5,
2454
+ "group_size": 128,
2455
+ "mode": "affine"
2456
+ },
2457
+ "language_model.model.layers.20.linear_attn.in_proj_a": {
2458
+ "bits": 5,
2459
+ "group_size": 128,
2460
+ "mode": "affine"
2461
+ },
2462
+ "language_model.model.layers.20.linear_attn.in_proj_b": {
2463
+ "bits": 5,
2464
+ "group_size": 128,
2465
+ "mode": "affine"
2466
+ },
2467
+ "language_model.model.layers.20.mlp.shared_expert.down_proj": {
2468
+ "bits": 8,
2469
+ "group_size": 128,
2470
+ "mode": "affine"
2471
+ },
2472
+ "language_model.model.layers.20.mlp.shared_expert.gate_proj": {
2473
+ "bits": 8,
2474
+ "group_size": 128,
2475
+ "mode": "affine"
2476
+ },
2477
+ "language_model.model.layers.20.mlp.shared_expert.up_proj": {
2478
+ "bits": 8,
2479
+ "group_size": 128,
2480
+ "mode": "affine"
2481
+ },
2482
+ "language_model.model.layers.20.mlp.shared_expert_gate": {
2483
+ "bits": 8,
2484
+ "group_size": 64,
2485
+ "mode": "affine"
2486
+ },
2487
+ "language_model.model.layers.21.linear_attn.in_proj_a": {
2488
+ "bits": 5,
2489
+ "group_size": 128,
2490
+ "mode": "affine"
2491
+ },
2492
+ "language_model.model.layers.21.linear_attn.in_proj_b": {
2493
+ "bits": 5,
2494
+ "group_size": 128,
2495
+ "mode": "affine"
2496
+ },
2497
+ "language_model.model.layers.21.mlp.shared_expert.down_proj": {
2498
+ "bits": 8,
2499
+ "group_size": 128,
2500
+ "mode": "affine"
2501
+ },
2502
+ "language_model.model.layers.21.mlp.shared_expert.gate_proj": {
2503
+ "bits": 8,
2504
+ "group_size": 128,
2505
+ "mode": "affine"
2506
+ },
2507
+ "language_model.model.layers.21.mlp.shared_expert.up_proj": {
2508
+ "bits": 8,
2509
+ "group_size": 128,
2510
+ "mode": "affine"
2511
+ },
2512
+ "language_model.model.layers.21.mlp.shared_expert_gate": {
2513
+ "bits": 8,
2514
+ "group_size": 64,
2515
+ "mode": "affine"
2516
+ },
2517
+ "language_model.model.layers.22.linear_attn.in_proj_a": {
2518
+ "bits": 5,
2519
+ "group_size": 128,
2520
+ "mode": "affine"
2521
+ },
2522
+ "language_model.model.layers.22.linear_attn.in_proj_b": {
2523
+ "bits": 5,
2524
+ "group_size": 128,
2525
+ "mode": "affine"
2526
+ },
2527
+ "language_model.model.layers.22.mlp.shared_expert.down_proj": {
2528
+ "bits": 8,
2529
+ "group_size": 128,
2530
+ "mode": "affine"
2531
+ },
2532
+ "language_model.model.layers.22.mlp.shared_expert.gate_proj": {
2533
+ "bits": 8,
2534
+ "group_size": 128,
2535
+ "mode": "affine"
2536
+ },
2537
+ "language_model.model.layers.22.mlp.shared_expert.up_proj": {
2538
+ "bits": 8,
2539
+ "group_size": 128,
2540
+ "mode": "affine"
2541
+ },
2542
+ "language_model.model.layers.22.mlp.shared_expert_gate": {
2543
+ "bits": 8,
2544
+ "group_size": 64,
2545
+ "mode": "affine"
2546
+ },
2547
+ "language_model.model.layers.24.linear_attn.in_proj_z": {
2548
+ "bits": 5,
2549
+ "group_size": 128,
2550
+ "mode": "affine"
2551
+ },
2552
+ "language_model.model.layers.24.linear_attn.out_proj": {
2553
+ "bits": 5,
2554
+ "group_size": 128,
2555
+ "mode": "affine"
2556
+ },
2557
+ "language_model.model.layers.25.linear_attn.in_proj_z": {
2558
+ "bits": 5,
2559
+ "group_size": 128,
2560
+ "mode": "affine"
2561
+ },
2562
+ "language_model.model.layers.25.linear_attn.out_proj": {
2563
+ "bits": 5,
2564
+ "group_size": 128,
2565
+ "mode": "affine"
2566
+ },
2567
+ "language_model.model.layers.23.mlp.shared_expert.down_proj": {
2568
+ "bits": 8,
2569
+ "group_size": 128,
2570
+ "mode": "affine"
2571
+ },
2572
+ "language_model.model.layers.23.mlp.shared_expert.gate_proj": {
2573
+ "bits": 8,
2574
+ "group_size": 128,
2575
+ "mode": "affine"
2576
+ },
2577
+ "language_model.model.layers.23.mlp.shared_expert.up_proj": {
2578
+ "bits": 8,
2579
+ "group_size": 128,
2580
+ "mode": "affine"
2581
+ },
2582
+ "language_model.model.layers.23.mlp.shared_expert_gate": {
2583
+ "bits": 8,
2584
+ "group_size": 64,
2585
+ "mode": "affine"
2586
+ },
2587
+ "language_model.model.layers.24.linear_attn.in_proj_a": {
2588
+ "bits": 5,
2589
+ "group_size": 128,
2590
+ "mode": "affine"
2591
+ },
2592
+ "language_model.model.layers.24.linear_attn.in_proj_b": {
2593
+ "bits": 5,
2594
+ "group_size": 128,
2595
+ "mode": "affine"
2596
+ },
2597
+ "language_model.model.layers.24.mlp.shared_expert.down_proj": {
2598
+ "bits": 8,
2599
+ "group_size": 128,
2600
+ "mode": "affine"
2601
+ },
2602
+ "language_model.model.layers.24.mlp.shared_expert.gate_proj": {
2603
+ "bits": 8,
2604
+ "group_size": 128,
2605
+ "mode": "affine"
2606
+ },
2607
+ "language_model.model.layers.24.mlp.shared_expert.up_proj": {
2608
+ "bits": 8,
2609
+ "group_size": 128,
2610
+ "mode": "affine"
2611
+ },
2612
+ "language_model.model.layers.24.mlp.shared_expert_gate": {
2613
+ "bits": 8,
2614
+ "group_size": 64,
2615
+ "mode": "affine"
2616
+ },
2617
+ "language_model.model.layers.25.linear_attn.in_proj_a": {
2618
+ "bits": 5,
2619
+ "group_size": 128,
2620
+ "mode": "affine"
2621
+ },
2622
+ "language_model.model.layers.25.linear_attn.in_proj_b": {
2623
+ "bits": 5,
2624
+ "group_size": 128,
2625
+ "mode": "affine"
2626
+ },
2627
+ "language_model.model.layers.25.mlp.shared_expert.down_proj": {
2628
+ "bits": 8,
2629
+ "group_size": 128,
2630
+ "mode": "affine"
2631
+ },
2632
+ "language_model.model.layers.25.mlp.shared_expert.gate_proj": {
2633
+ "bits": 8,
2634
+ "group_size": 128,
2635
+ "mode": "affine"
2636
+ },
2637
+ "language_model.model.layers.25.mlp.shared_expert.up_proj": {
2638
+ "bits": 8,
2639
+ "group_size": 128,
2640
+ "mode": "affine"
2641
+ },
2642
+ "language_model.model.layers.25.mlp.shared_expert_gate": {
2643
+ "bits": 8,
2644
+ "group_size": 64,
2645
+ "mode": "affine"
2646
+ },
2647
+ "language_model.model.layers.26.linear_attn.in_proj_z": {
2648
+ "bits": 5,
2649
+ "group_size": 128,
2650
+ "mode": "affine"
2651
+ },
2652
+ "language_model.model.layers.26.linear_attn.out_proj": {
2653
+ "bits": 5,
2654
+ "group_size": 128,
2655
+ "mode": "affine"
2656
+ },
2657
+ "language_model.model.layers.28.linear_attn.in_proj_z": {
2658
+ "bits": 5,
2659
+ "group_size": 128,
2660
+ "mode": "affine"
2661
+ },
2662
+ "language_model.model.layers.28.linear_attn.out_proj": {
2663
+ "bits": 5,
2664
+ "group_size": 128,
2665
+ "mode": "affine"
2666
+ },
2667
+ "language_model.model.layers.26.linear_attn.in_proj_a": {
2668
+ "bits": 5,
2669
+ "group_size": 128,
2670
+ "mode": "affine"
2671
+ },
2672
+ "language_model.model.layers.26.linear_attn.in_proj_b": {
2673
+ "bits": 5,
2674
+ "group_size": 128,
2675
+ "mode": "affine"
2676
+ },
2677
+ "language_model.model.layers.26.mlp.shared_expert.down_proj": {
2678
+ "bits": 8,
2679
+ "group_size": 128,
2680
+ "mode": "affine"
2681
+ },
2682
+ "language_model.model.layers.26.mlp.shared_expert.gate_proj": {
2683
+ "bits": 8,
2684
+ "group_size": 128,
2685
+ "mode": "affine"
2686
+ },
2687
+ "language_model.model.layers.26.mlp.shared_expert.up_proj": {
2688
+ "bits": 8,
2689
+ "group_size": 128,
2690
+ "mode": "affine"
2691
+ },
2692
+ "language_model.model.layers.26.mlp.shared_expert_gate": {
2693
+ "bits": 8,
2694
+ "group_size": 64,
2695
+ "mode": "affine"
2696
+ },
2697
+ "language_model.model.layers.27.mlp.shared_expert.down_proj": {
2698
+ "bits": 8,
2699
+ "group_size": 128,
2700
+ "mode": "affine"
2701
+ },
2702
+ "language_model.model.layers.27.mlp.shared_expert.gate_proj": {
2703
+ "bits": 8,
2704
+ "group_size": 128,
2705
+ "mode": "affine"
2706
+ },
2707
+ "language_model.model.layers.27.mlp.shared_expert.up_proj": {
2708
+ "bits": 8,
2709
+ "group_size": 128,
2710
+ "mode": "affine"
2711
+ },
2712
+ "language_model.model.layers.27.mlp.shared_expert_gate": {
2713
+ "bits": 8,
2714
+ "group_size": 64,
2715
+ "mode": "affine"
2716
+ },
2717
+ "language_model.model.layers.28.linear_attn.in_proj_a": {
2718
+ "bits": 5,
2719
+ "group_size": 128,
2720
+ "mode": "affine"
2721
+ },
2722
+ "language_model.model.layers.28.linear_attn.in_proj_b": {
2723
+ "bits": 5,
2724
+ "group_size": 128,
2725
+ "mode": "affine"
2726
+ },
2727
+ "language_model.model.layers.28.mlp.shared_expert.down_proj": {
2728
+ "bits": 8,
2729
+ "group_size": 128,
2730
+ "mode": "affine"
2731
+ },
2732
+ "language_model.model.layers.28.mlp.shared_expert.gate_proj": {
2733
+ "bits": 8,
2734
+ "group_size": 128,
2735
+ "mode": "affine"
2736
+ },
2737
+ "language_model.model.layers.28.mlp.shared_expert.up_proj": {
2738
+ "bits": 8,
2739
+ "group_size": 128,
2740
+ "mode": "affine"
2741
+ },
2742
+ "language_model.model.layers.28.mlp.shared_expert_gate": {
2743
+ "bits": 8,
2744
+ "group_size": 64,
2745
+ "mode": "affine"
2746
+ },
2747
+ "language_model.model.layers.29.linear_attn.in_proj_z": {
2748
+ "bits": 5,
2749
+ "group_size": 128,
2750
+ "mode": "affine"
2751
+ },
2752
+ "language_model.model.layers.29.linear_attn.out_proj": {
2753
+ "bits": 5,
2754
+ "group_size": 128,
2755
+ "mode": "affine"
2756
+ },
2757
+ "language_model.model.layers.30.linear_attn.in_proj_z": {
2758
+ "bits": 5,
2759
+ "group_size": 128,
2760
+ "mode": "affine"
2761
+ },
2762
+ "language_model.model.layers.30.linear_attn.out_proj": {
2763
+ "bits": 5,
2764
+ "group_size": 128,
2765
+ "mode": "affine"
2766
+ },
2767
+ "language_model.model.layers.31.self_attn.k_proj": {
2768
+ "bits": 8,
2769
+ "group_size": 64,
2770
+ "mode": "affine"
2771
+ },
2772
+ "language_model.model.layers.31.self_attn.o_proj": {
2773
+ "bits": 8,
2774
+ "group_size": 64,
2775
+ "mode": "affine"
2776
+ },
2777
+ "language_model.model.layers.31.self_attn.q_proj": {
2778
+ "bits": 6,
2779
+ "group_size": 64,
2780
+ "mode": "affine"
2781
+ },
2782
+ "language_model.model.layers.31.self_attn.v_proj": {
2783
+ "bits": 8,
2784
+ "group_size": 64,
2785
+ "mode": "affine"
2786
+ },
2787
+ "language_model.model.layers.29.linear_attn.in_proj_a": {
2788
+ "bits": 5,
2789
+ "group_size": 128,
2790
+ "mode": "affine"
2791
+ },
2792
+ "language_model.model.layers.29.linear_attn.in_proj_b": {
2793
+ "bits": 5,
2794
+ "group_size": 128,
2795
+ "mode": "affine"
2796
+ },
2797
+ "language_model.model.layers.29.mlp.shared_expert.down_proj": {
2798
+ "bits": 8,
2799
+ "group_size": 128,
2800
+ "mode": "affine"
2801
+ },
2802
+ "language_model.model.layers.29.mlp.shared_expert.gate_proj": {
2803
+ "bits": 8,
2804
+ "group_size": 128,
2805
+ "mode": "affine"
2806
+ },
2807
+ "language_model.model.layers.29.mlp.shared_expert.up_proj": {
2808
+ "bits": 8,
2809
+ "group_size": 128,
2810
+ "mode": "affine"
2811
+ },
2812
+ "language_model.model.layers.29.mlp.shared_expert_gate": {
2813
+ "bits": 8,
2814
+ "group_size": 64,
2815
+ "mode": "affine"
2816
+ },
2817
+ "language_model.model.layers.30.linear_attn.in_proj_a": {
2818
+ "bits": 5,
2819
+ "group_size": 128,
2820
+ "mode": "affine"
2821
+ },
2822
+ "language_model.model.layers.30.linear_attn.in_proj_b": {
2823
+ "bits": 5,
2824
+ "group_size": 128,
2825
+ "mode": "affine"
2826
+ },
2827
+ "language_model.model.layers.30.mlp.shared_expert.down_proj": {
2828
+ "bits": 8,
2829
+ "group_size": 128,
2830
+ "mode": "affine"
2831
+ },
2832
+ "language_model.model.layers.30.mlp.shared_expert.gate_proj": {
2833
+ "bits": 8,
2834
+ "group_size": 128,
2835
+ "mode": "affine"
2836
+ },
2837
+ "language_model.model.layers.30.mlp.shared_expert.up_proj": {
2838
+ "bits": 8,
2839
+ "group_size": 128,
2840
+ "mode": "affine"
2841
+ },
2842
+ "language_model.model.layers.30.mlp.shared_expert_gate": {
2843
+ "bits": 8,
2844
+ "group_size": 64,
2845
+ "mode": "affine"
2846
+ },
2847
+ "language_model.model.layers.31.mlp.shared_expert.down_proj": {
2848
+ "bits": 8,
2849
+ "group_size": 128,
2850
+ "mode": "affine"
2851
+ },
2852
+ "language_model.model.layers.31.mlp.shared_expert.gate_proj": {
2853
+ "bits": 8,
2854
+ "group_size": 128,
2855
+ "mode": "affine"
2856
+ },
2857
+ "language_model.model.layers.31.mlp.shared_expert.up_proj": {
2858
+ "bits": 8,
2859
+ "group_size": 128,
2860
+ "mode": "affine"
2861
+ },
2862
+ "language_model.model.layers.31.mlp.shared_expert_gate": {
2863
+ "bits": 8,
2864
+ "group_size": 64,
2865
+ "mode": "affine"
2866
+ },
2867
+ "language_model.model.layers.32.linear_attn.in_proj_a": {
2868
+ "bits": 6,
2869
+ "group_size": 64,
2870
+ "mode": "affine"
2871
+ },
2872
+ "language_model.model.layers.32.linear_attn.in_proj_b": {
2873
+ "bits": 6,
2874
+ "group_size": 64,
2875
+ "mode": "affine"
2876
+ },
2877
+ "language_model.model.layers.32.linear_attn.in_proj_z": {
2878
+ "bits": 5,
2879
+ "group_size": 128,
2880
+ "mode": "affine"
2881
+ },
2882
+ "language_model.model.layers.32.linear_attn.out_proj": {
2883
+ "bits": 5,
2884
+ "group_size": 128,
2885
+ "mode": "affine"
2886
+ },
2887
+ "language_model.model.layers.32.mlp.shared_expert.down_proj": {
2888
+ "bits": 8,
2889
+ "group_size": 128,
2890
+ "mode": "affine"
2891
+ },
2892
+ "language_model.model.layers.32.mlp.shared_expert.gate_proj": {
2893
+ "bits": 8,
2894
+ "group_size": 128,
2895
+ "mode": "affine"
2896
+ },
2897
+ "language_model.model.layers.32.mlp.shared_expert.up_proj": {
2898
+ "bits": 8,
2899
+ "group_size": 128,
2900
+ "mode": "affine"
2901
+ },
2902
+ "language_model.model.layers.32.mlp.shared_expert_gate": {
2903
+ "bits": 8,
2904
+ "group_size": 64,
2905
+ "mode": "affine"
2906
+ },
2907
+ "language_model.model.layers.33.linear_attn.in_proj_a": {
2908
+ "bits": 8,
2909
+ "group_size": 64,
2910
+ "mode": "affine"
2911
+ },
2912
+ "language_model.model.layers.33.linear_attn.in_proj_b": {
2913
+ "bits": 8,
2914
+ "group_size": 64,
2915
+ "mode": "affine"
2916
+ },
2917
+ "language_model.model.layers.33.linear_attn.in_proj_qkv": {
2918
+ "bits": 5,
2919
+ "group_size": 128,
2920
+ "mode": "affine"
2921
+ },
2922
+ "language_model.model.layers.33.linear_attn.in_proj_z": {
2923
+ "bits": 5,
2924
+ "group_size": 128,
2925
+ "mode": "affine"
2926
+ },
2927
+ "language_model.model.layers.33.linear_attn.out_proj": {
2928
+ "bits": 5,
2929
+ "group_size": 128,
2930
+ "mode": "affine"
2931
+ },
2932
+ "language_model.model.layers.33.mlp.shared_expert.down_proj": {
2933
+ "bits": 8,
2934
+ "group_size": 128,
2935
+ "mode": "affine"
2936
+ },
2937
+ "language_model.model.layers.33.mlp.shared_expert.gate_proj": {
2938
+ "bits": 8,
2939
+ "group_size": 128,
2940
+ "mode": "affine"
2941
+ },
2942
+ "language_model.model.layers.33.mlp.shared_expert.up_proj": {
2943
+ "bits": 8,
2944
+ "group_size": 128,
2945
+ "mode": "affine"
2946
+ },
2947
+ "language_model.model.layers.33.mlp.shared_expert_gate": {
2948
+ "bits": 8,
2949
+ "group_size": 64,
2950
+ "mode": "affine"
2951
+ },
2952
+ "language_model.model.layers.34.linear_attn.in_proj_a": {
2953
+ "bits": 6,
2954
+ "group_size": 64,
2955
+ "mode": "affine"
2956
+ },
2957
+ "language_model.model.layers.34.linear_attn.in_proj_b": {
2958
+ "bits": 6,
2959
+ "group_size": 64,
2960
+ "mode": "affine"
2961
+ },
2962
+ "language_model.model.layers.34.linear_attn.in_proj_z": {
2963
+ "bits": 5,
2964
+ "group_size": 128,
2965
+ "mode": "affine"
2966
+ },
2967
+ "language_model.model.layers.34.linear_attn.out_proj": {
2968
+ "bits": 5,
2969
+ "group_size": 128,
2970
+ "mode": "affine"
2971
+ },
2972
+ "language_model.model.layers.34.mlp.shared_expert.down_proj": {
2973
+ "bits": 8,
2974
+ "group_size": 128,
2975
+ "mode": "affine"
2976
+ },
2977
+ "language_model.model.layers.34.mlp.shared_expert.gate_proj": {
2978
+ "bits": 8,
2979
+ "group_size": 128,
2980
+ "mode": "affine"
2981
+ },
2982
+ "language_model.model.layers.34.mlp.shared_expert.up_proj": {
2983
+ "bits": 8,
2984
+ "group_size": 128,
2985
+ "mode": "affine"
2986
+ },
2987
+ "language_model.model.layers.34.mlp.shared_expert_gate": {
2988
+ "bits": 8,
2989
+ "group_size": 64,
2990
+ "mode": "affine"
2991
+ },
2992
+ "language_model.model.layers.35.mlp.shared_expert.down_proj": {
2993
+ "bits": 8,
2994
+ "group_size": 128,
2995
+ "mode": "affine"
2996
+ },
2997
+ "language_model.model.layers.35.mlp.shared_expert.gate_proj": {
2998
+ "bits": 8,
2999
+ "group_size": 128,
3000
+ "mode": "affine"
3001
+ },
3002
+ "language_model.model.layers.35.mlp.shared_expert.up_proj": {
3003
+ "bits": 8,
3004
+ "group_size": 128,
3005
+ "mode": "affine"
3006
+ },
3007
+ "language_model.model.layers.35.mlp.shared_expert_gate": {
3008
+ "bits": 8,
3009
+ "group_size": 64,
3010
+ "mode": "affine"
3011
+ },
3012
+ "language_model.model.layers.35.self_attn.k_proj": {
3013
+ "bits": 8,
3014
+ "group_size": 64,
3015
+ "mode": "affine"
3016
+ },
3017
+ "language_model.model.layers.35.self_attn.o_proj": {
3018
+ "bits": 8,
3019
+ "group_size": 64,
3020
+ "mode": "affine"
3021
+ },
3022
+ "language_model.model.layers.35.self_attn.q_proj": {
3023
+ "bits": 8,
3024
+ "group_size": 64,
3025
+ "mode": "affine"
3026
+ },
3027
+ "language_model.model.layers.35.self_attn.v_proj": {
3028
+ "bits": 8,
3029
+ "group_size": 64,
3030
+ "mode": "affine"
3031
+ },
3032
+ "language_model.model.layers.36.linear_attn.in_proj_a": {
3033
+ "bits": 8,
3034
+ "group_size": 64,
3035
+ "mode": "affine"
3036
+ },
3037
+ "language_model.model.layers.36.linear_attn.in_proj_b": {
3038
+ "bits": 8,
3039
+ "group_size": 64,
3040
+ "mode": "affine"
3041
+ },
3042
+ "language_model.model.layers.36.linear_attn.in_proj_qkv": {
3043
+ "bits": 8,
3044
+ "group_size": 64,
3045
+ "mode": "affine"
3046
+ },
3047
+ "language_model.model.layers.36.linear_attn.in_proj_z": {
3048
+ "bits": 8,
3049
+ "group_size": 64,
3050
+ "mode": "affine"
3051
+ },
3052
+ "language_model.model.layers.36.linear_attn.out_proj": {
3053
+ "bits": 5,
3054
+ "group_size": 128,
3055
+ "mode": "affine"
3056
+ },
3057
+ "language_model.model.layers.36.mlp.shared_expert.down_proj": {
3058
+ "bits": 8,
3059
+ "group_size": 128,
3060
+ "mode": "affine"
3061
+ },
3062
+ "language_model.model.layers.36.mlp.shared_expert.gate_proj": {
3063
+ "bits": 8,
3064
+ "group_size": 128,
3065
+ "mode": "affine"
3066
+ },
3067
+ "language_model.model.layers.36.mlp.shared_expert.up_proj": {
3068
+ "bits": 8,
3069
+ "group_size": 128,
3070
+ "mode": "affine"
3071
+ },
3072
+ "language_model.model.layers.36.mlp.shared_expert_gate": {
3073
+ "bits": 8,
3074
+ "group_size": 64,
3075
+ "mode": "affine"
3076
+ },
3077
+ "language_model.model.layers.37.linear_attn.in_proj_a": {
3078
+ "bits": 8,
3079
+ "group_size": 64,
3080
+ "mode": "affine"
3081
+ },
3082
+ "language_model.model.layers.37.linear_attn.in_proj_b": {
3083
+ "bits": 8,
3084
+ "group_size": 64,
3085
+ "mode": "affine"
3086
+ },
3087
+ "language_model.model.layers.37.linear_attn.in_proj_qkv": {
3088
+ "bits": 5,
3089
+ "group_size": 128,
3090
+ "mode": "affine"
3091
+ },
3092
+ "language_model.model.layers.37.linear_attn.in_proj_z": {
3093
+ "bits": 5,
3094
+ "group_size": 128,
3095
+ "mode": "affine"
3096
+ },
3097
+ "language_model.model.layers.37.linear_attn.out_proj": {
3098
+ "bits": 5,
3099
+ "group_size": 128,
3100
+ "mode": "affine"
3101
+ },
3102
+ "language_model.model.layers.37.mlp.shared_expert.down_proj": {
3103
+ "bits": 8,
3104
+ "group_size": 128,
3105
+ "mode": "affine"
3106
+ },
3107
+ "language_model.model.layers.37.mlp.shared_expert.gate_proj": {
3108
+ "bits": 8,
3109
+ "group_size": 128,
3110
+ "mode": "affine"
3111
+ },
3112
+ "language_model.model.layers.37.mlp.shared_expert.up_proj": {
3113
+ "bits": 8,
3114
+ "group_size": 128,
3115
+ "mode": "affine"
3116
+ },
3117
+ "language_model.model.layers.37.mlp.shared_expert_gate": {
3118
+ "bits": 8,
3119
+ "group_size": 64,
3120
+ "mode": "affine"
3121
+ },
3122
+ "language_model.model.layers.38.linear_attn.in_proj_a": {
3123
+ "bits": 8,
3124
+ "group_size": 64,
3125
+ "mode": "affine"
3126
+ },
3127
+ "language_model.model.layers.38.linear_attn.in_proj_b": {
3128
+ "bits": 8,
3129
+ "group_size": 64,
3130
+ "mode": "affine"
3131
+ },
3132
+ "language_model.model.layers.38.linear_attn.in_proj_qkv": {
3133
+ "bits": 5,
3134
+ "group_size": 128,
3135
+ "mode": "affine"
3136
+ },
3137
+ "language_model.model.layers.38.linear_attn.in_proj_z": {
3138
+ "bits": 5,
3139
+ "group_size": 128,
3140
+ "mode": "affine"
3141
+ },
3142
+ "language_model.model.layers.38.linear_attn.out_proj": {
3143
+ "bits": 5,
3144
+ "group_size": 128,
3145
+ "mode": "affine"
3146
+ },
3147
+ "language_model.model.layers.38.mlp.shared_expert.down_proj": {
3148
+ "bits": 8,
3149
+ "group_size": 128,
3150
+ "mode": "affine"
3151
+ },
3152
+ "language_model.model.layers.38.mlp.shared_expert.gate_proj": {
3153
+ "bits": 8,
3154
+ "group_size": 128,
3155
+ "mode": "affine"
3156
+ },
3157
+ "language_model.model.layers.38.mlp.shared_expert.up_proj": {
3158
+ "bits": 8,
3159
+ "group_size": 128,
3160
+ "mode": "affine"
3161
+ },
3162
+ "language_model.model.layers.38.mlp.shared_expert_gate": {
3163
+ "bits": 8,
3164
+ "group_size": 64,
3165
+ "mode": "affine"
3166
+ },
3167
+ "language_model.lm_head": {
3168
+ "bits": 8,
3169
+ "group_size": 64,
3170
+ "mode": "affine"
3171
+ },
3172
+ "language_model.model.layers.39.mlp.shared_expert.down_proj": {
3173
+ "bits": 8,
3174
+ "group_size": 128,
3175
+ "mode": "affine"
3176
+ },
3177
+ "language_model.model.layers.39.mlp.shared_expert.gate_proj": {
3178
+ "bits": 8,
3179
+ "group_size": 128,
3180
+ "mode": "affine"
3181
+ },
3182
+ "language_model.model.layers.39.mlp.shared_expert.up_proj": {
3183
+ "bits": 8,
3184
+ "group_size": 128,
3185
+ "mode": "affine"
3186
+ },
3187
+ "language_model.model.layers.39.mlp.shared_expert_gate": {
3188
+ "bits": 8,
3189
+ "group_size": 64,
3190
+ "mode": "affine"
3191
+ },
3192
+ "language_model.model.layers.39.self_attn.k_proj": {
3193
+ "bits": 8,
3194
+ "group_size": 64,
3195
+ "mode": "affine"
3196
+ },
3197
+ "language_model.model.layers.39.self_attn.o_proj": {
3198
+ "bits": 8,
3199
+ "group_size": 64,
3200
+ "mode": "affine"
3201
+ },
3202
+ "language_model.model.layers.39.self_attn.q_proj": {
3203
+ "bits": 8,
3204
+ "group_size": 64,
3205
+ "mode": "affine"
3206
+ },
3207
+ "language_model.model.layers.39.self_attn.v_proj": {
3208
+ "bits": 8,
3209
+ "group_size": 64,
3210
+ "mode": "affine"
3211
+ },
3212
+ "language_model.mtp.layers.0.mlp.shared_expert.down_proj": {
3213
+ "bits": 8,
3214
+ "group_size": 128,
3215
+ "mode": "affine"
3216
+ },
3217
+ "language_model.mtp.layers.0.mlp.shared_expert.gate_proj": {
3218
+ "bits": 8,
3219
+ "group_size": 128,
3220
+ "mode": "affine"
3221
+ },
3222
+ "language_model.mtp.layers.0.mlp.shared_expert.up_proj": {
3223
+ "bits": 8,
3224
+ "group_size": 128,
3225
+ "mode": "affine"
3226
+ },
3227
+ "language_model.mtp.layers.0.mlp.shared_expert_gate": {
3228
+ "bits": 8,
3229
+ "group_size": 64,
3230
+ "mode": "affine"
3231
+ },
3232
+ "language_model.mtp.layers.0.self_attn.k_proj": {
3233
+ "bits": 8,
3234
+ "group_size": 64,
3235
+ "mode": "affine"
3236
+ },
3237
+ "language_model.mtp.layers.0.self_attn.o_proj": {
3238
+ "bits": 8,
3239
+ "group_size": 64,
3240
+ "mode": "affine"
3241
+ },
3242
+ "language_model.mtp.layers.0.self_attn.q_proj": {
3243
+ "bits": 8,
3244
+ "group_size": 64,
3245
+ "mode": "affine"
3246
+ },
3247
+ "language_model.mtp.layers.0.self_attn.v_proj": {
3248
+ "bits": 8,
3249
+ "group_size": 64,
3250
+ "mode": "affine"
3251
+ }
3252
+ }
3253
+ }
generation_config.json ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 248044,
3
+ "do_sample": true,
4
+ "eos_token_id": [
5
+ 248046,
6
+ 248044
7
+ ],
8
+ "pad_token_id": 248044,
9
+ "temperature": 1.0,
10
+ "top_k": 20,
11
+ "top_p": 0.95
12
+ }
merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
model-00001-of-00005.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:005e20903683e0ee99fd94d45a446cfb5b9ec2162ecd9d06a80310a6d189a7d9
3
+ size 5138567036
model-00002-of-00005.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:90ad6c9f93e72d555429382c8f667d87ed37bf7a55a46fed3029c0a7a8032e1d
3
+ size 5133842368
model-00003-of-00005.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:39ddbb5743d56c2d21301b2595bb1e2c415c539180e1f38e2d7e271181646dbb
3
+ size 5133842426
model-00004-of-00005.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:321631a66b04e779041ccf70e0d3960355d70209f8ad079c60435d473bbdb4cf
3
+ size 5133842426
model-00005-of-00005.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:136d44fc02f0ffc8077ee5f836fa9445dedfc56766396dd8cfc78de7a1fe185c
3
+ size 1962939701
model.safetensors.index.json ADDED
The diff for this file is too large to render. See raw diff
 
oq_imatrix_report.json ADDED
@@ -0,0 +1,581 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "enabled": true,
3
+ "cache_path": "/Users/user/Downloads/Llama/roo_llamacpp_unified_launcher/models/.oqe_imatrix/Qwen3.6-35B-A3B-b2440f0c58dc-s128-l512.npz",
4
+ "cache_reused": false,
5
+ "entry_count": 523,
6
+ "calib_dataset": "oqe_code_multilingual",
7
+ "collection": {
8
+ "dataset": "oqe_code_multilingual",
9
+ "requested_samples": 128,
10
+ "seq_length": 512,
11
+ "adaptive": true,
12
+ "adaptive_step_samples": 128,
13
+ "adaptive_max_samples": 1024,
14
+ "available_samples": 1024,
15
+ "micro_batch_size": 15,
16
+ "micro_batches": 9,
17
+ "batch_plan": {
18
+ "micro_batch_size": 15,
19
+ "estimated_sample_bytes": 33554432,
20
+ "capture_budget_bytes": 525782220,
21
+ "system_available_bytes": 52578222080,
22
+ "metal_available_bytes": 68152900056,
23
+ "live_available_bytes": 52578222080,
24
+ "hidden_size": 2048,
25
+ "num_experts": 256,
26
+ "top_k": 8
27
+ },
28
+ "processed_samples": 128,
29
+ "installed_modules": 634,
30
+ "capture_module_classes": {
31
+ "Linear": 151,
32
+ "QuantizedLinear": 360,
33
+ "QuantizedSwitchLinear": 123
34
+ },
35
+ "switch_capture_modules": 123,
36
+ "requires_expert_counts": true,
37
+ "coverage_sufficient": true,
38
+ "collection_sufficient": true,
39
+ "coverage": {
40
+ "has_expert_counts": true,
41
+ "expert_modules": 123,
42
+ "total_experts": 31488,
43
+ "active_experts": 31488,
44
+ "zero_count_experts": 0,
45
+ "active_ratio": 1.0,
46
+ "min_count": 14,
47
+ "p05_count": 471.0,
48
+ "p10_count": 646.0,
49
+ "median_count": 1758.5,
50
+ "max_count": 35211,
51
+ "min_required_count": 16,
52
+ "required_percentile": 5
53
+ },
54
+ "rounds": [
55
+ {
56
+ "processed_samples": 128,
57
+ "coverage_sufficient": true,
58
+ "collection_sufficient": true,
59
+ "coverage": {
60
+ "has_expert_counts": true,
61
+ "expert_modules": 123,
62
+ "total_experts": 31488,
63
+ "active_experts": 31488,
64
+ "zero_count_experts": 0,
65
+ "active_ratio": 1.0,
66
+ "min_count": 14,
67
+ "p05_count": 471.0,
68
+ "p10_count": 646.0,
69
+ "median_count": 1758.5,
70
+ "max_count": 35211,
71
+ "min_required_count": 16,
72
+ "required_percentile": 5
73
+ }
74
+ }
75
+ ]
76
+ },
77
+ "expert_coverage": {
78
+ "has_expert_counts": true,
79
+ "expert_modules": 123,
80
+ "total_experts": 31488,
81
+ "active_experts": 31488,
82
+ "zero_count_experts": 0,
83
+ "active_ratio": 1.0,
84
+ "min_count": 14,
85
+ "p05_count": 471.0,
86
+ "p10_count": 646.0,
87
+ "median_count": 1758.5,
88
+ "max_count": 35211,
89
+ "min_required_count": 16,
90
+ "required_percentile": 5
91
+ },
92
+ "applied": [
93
+ "language_model.model.layers.0.linear_attn.in_proj_a",
94
+ "language_model.model.layers.0.linear_attn.in_proj_b",
95
+ "language_model.model.layers.0.linear_attn.in_proj_qkv",
96
+ "language_model.model.layers.0.linear_attn.in_proj_z",
97
+ "language_model.model.layers.0.linear_attn.out_proj",
98
+ "language_model.model.layers.0.mlp.shared_expert.down_proj",
99
+ "language_model.model.layers.0.mlp.shared_expert.gate_proj",
100
+ "language_model.model.layers.0.mlp.shared_expert.up_proj",
101
+ "language_model.model.layers.0.mlp.shared_expert_gate",
102
+ "language_model.model.layers.0.mlp.switch_mlp.down_proj",
103
+ "language_model.model.layers.0.mlp.switch_mlp.gate_proj",
104
+ "language_model.model.layers.0.mlp.switch_mlp.up_proj",
105
+ "language_model.model.layers.1.linear_attn.in_proj_a",
106
+ "language_model.model.layers.1.linear_attn.in_proj_b",
107
+ "language_model.model.layers.1.linear_attn.in_proj_qkv",
108
+ "language_model.model.layers.1.linear_attn.in_proj_z",
109
+ "language_model.model.layers.1.linear_attn.out_proj",
110
+ "language_model.model.layers.1.mlp.shared_expert.down_proj",
111
+ "language_model.model.layers.1.mlp.shared_expert.gate_proj",
112
+ "language_model.model.layers.1.mlp.shared_expert.up_proj",
113
+ "language_model.model.layers.1.mlp.shared_expert_gate",
114
+ "language_model.model.layers.1.mlp.switch_mlp.down_proj",
115
+ "language_model.model.layers.1.mlp.switch_mlp.gate_proj",
116
+ "language_model.model.layers.1.mlp.switch_mlp.up_proj",
117
+ "language_model.model.layers.10.linear_attn.in_proj_a",
118
+ "language_model.model.layers.10.linear_attn.in_proj_b",
119
+ "language_model.model.layers.10.linear_attn.in_proj_qkv",
120
+ "language_model.model.layers.10.linear_attn.in_proj_z",
121
+ "language_model.model.layers.10.linear_attn.out_proj",
122
+ "language_model.model.layers.10.mlp.shared_expert.down_proj",
123
+ "language_model.model.layers.10.mlp.shared_expert.gate_proj",
124
+ "language_model.model.layers.10.mlp.shared_expert.up_proj",
125
+ "language_model.model.layers.10.mlp.shared_expert_gate",
126
+ "language_model.model.layers.10.mlp.switch_mlp.down_proj",
127
+ "language_model.model.layers.10.mlp.switch_mlp.gate_proj",
128
+ "language_model.model.layers.10.mlp.switch_mlp.up_proj",
129
+ "language_model.model.layers.11.mlp.shared_expert.down_proj",
130
+ "language_model.model.layers.11.mlp.shared_expert.gate_proj",
131
+ "language_model.model.layers.11.mlp.shared_expert.up_proj",
132
+ "language_model.model.layers.11.mlp.shared_expert_gate",
133
+ "language_model.model.layers.11.mlp.switch_mlp.down_proj",
134
+ "language_model.model.layers.11.mlp.switch_mlp.gate_proj",
135
+ "language_model.model.layers.11.mlp.switch_mlp.up_proj",
136
+ "language_model.model.layers.11.self_attn.k_proj",
137
+ "language_model.model.layers.11.self_attn.o_proj",
138
+ "language_model.model.layers.11.self_attn.q_proj",
139
+ "language_model.model.layers.11.self_attn.v_proj",
140
+ "language_model.model.layers.12.linear_attn.in_proj_a",
141
+ "language_model.model.layers.12.linear_attn.in_proj_b",
142
+ "language_model.model.layers.12.linear_attn.in_proj_qkv",
143
+ "language_model.model.layers.12.linear_attn.in_proj_z",
144
+ "language_model.model.layers.12.linear_attn.out_proj",
145
+ "language_model.model.layers.12.mlp.shared_expert.down_proj",
146
+ "language_model.model.layers.12.mlp.shared_expert.gate_proj",
147
+ "language_model.model.layers.12.mlp.shared_expert.up_proj",
148
+ "language_model.model.layers.12.mlp.shared_expert_gate",
149
+ "language_model.model.layers.12.mlp.switch_mlp.down_proj",
150
+ "language_model.model.layers.12.mlp.switch_mlp.gate_proj",
151
+ "language_model.model.layers.12.mlp.switch_mlp.up_proj",
152
+ "language_model.model.layers.13.linear_attn.in_proj_a",
153
+ "language_model.model.layers.13.linear_attn.in_proj_b",
154
+ "language_model.model.layers.13.linear_attn.in_proj_qkv",
155
+ "language_model.model.layers.13.linear_attn.in_proj_z",
156
+ "language_model.model.layers.13.linear_attn.out_proj",
157
+ "language_model.model.layers.13.mlp.shared_expert.down_proj",
158
+ "language_model.model.layers.13.mlp.shared_expert.gate_proj",
159
+ "language_model.model.layers.13.mlp.shared_expert.up_proj",
160
+ "language_model.model.layers.13.mlp.shared_expert_gate",
161
+ "language_model.model.layers.13.mlp.switch_mlp.down_proj",
162
+ "language_model.model.layers.13.mlp.switch_mlp.gate_proj",
163
+ "language_model.model.layers.13.mlp.switch_mlp.up_proj",
164
+ "language_model.model.layers.14.linear_attn.in_proj_a",
165
+ "language_model.model.layers.14.linear_attn.in_proj_b",
166
+ "language_model.model.layers.14.linear_attn.in_proj_qkv",
167
+ "language_model.model.layers.14.linear_attn.in_proj_z",
168
+ "language_model.model.layers.14.linear_attn.out_proj",
169
+ "language_model.model.layers.14.mlp.shared_expert.down_proj",
170
+ "language_model.model.layers.14.mlp.shared_expert.gate_proj",
171
+ "language_model.model.layers.14.mlp.shared_expert.up_proj",
172
+ "language_model.model.layers.14.mlp.shared_expert_gate",
173
+ "language_model.model.layers.14.mlp.switch_mlp.down_proj",
174
+ "language_model.model.layers.14.mlp.switch_mlp.gate_proj",
175
+ "language_model.model.layers.14.mlp.switch_mlp.up_proj",
176
+ "language_model.model.layers.15.mlp.shared_expert.down_proj",
177
+ "language_model.model.layers.15.mlp.shared_expert.gate_proj",
178
+ "language_model.model.layers.15.mlp.shared_expert.up_proj",
179
+ "language_model.model.layers.15.mlp.shared_expert_gate",
180
+ "language_model.model.layers.15.mlp.switch_mlp.down_proj",
181
+ "language_model.model.layers.15.mlp.switch_mlp.gate_proj",
182
+ "language_model.model.layers.15.mlp.switch_mlp.up_proj",
183
+ "language_model.model.layers.15.self_attn.k_proj",
184
+ "language_model.model.layers.15.self_attn.o_proj",
185
+ "language_model.model.layers.15.self_attn.q_proj",
186
+ "language_model.model.layers.15.self_attn.v_proj",
187
+ "language_model.model.layers.16.linear_attn.in_proj_a",
188
+ "language_model.model.layers.16.linear_attn.in_proj_b",
189
+ "language_model.model.layers.16.linear_attn.in_proj_qkv",
190
+ "language_model.model.layers.16.linear_attn.in_proj_z",
191
+ "language_model.model.layers.16.linear_attn.out_proj",
192
+ "language_model.model.layers.16.mlp.shared_expert.down_proj",
193
+ "language_model.model.layers.16.mlp.shared_expert.gate_proj",
194
+ "language_model.model.layers.16.mlp.shared_expert.up_proj",
195
+ "language_model.model.layers.16.mlp.shared_expert_gate",
196
+ "language_model.model.layers.16.mlp.switch_mlp.down_proj",
197
+ "language_model.model.layers.16.mlp.switch_mlp.gate_proj",
198
+ "language_model.model.layers.16.mlp.switch_mlp.up_proj",
199
+ "language_model.model.layers.17.linear_attn.in_proj_a",
200
+ "language_model.model.layers.17.linear_attn.in_proj_b",
201
+ "language_model.model.layers.17.linear_attn.in_proj_qkv",
202
+ "language_model.model.layers.17.linear_attn.in_proj_z",
203
+ "language_model.model.layers.17.linear_attn.out_proj",
204
+ "language_model.model.layers.17.mlp.shared_expert.down_proj",
205
+ "language_model.model.layers.17.mlp.shared_expert.gate_proj",
206
+ "language_model.model.layers.17.mlp.shared_expert.up_proj",
207
+ "language_model.model.layers.17.mlp.shared_expert_gate",
208
+ "language_model.model.layers.17.mlp.switch_mlp.down_proj",
209
+ "language_model.model.layers.17.mlp.switch_mlp.gate_proj",
210
+ "language_model.model.layers.17.mlp.switch_mlp.up_proj",
211
+ "language_model.model.layers.18.linear_attn.in_proj_a",
212
+ "language_model.model.layers.18.linear_attn.in_proj_b",
213
+ "language_model.model.layers.18.linear_attn.in_proj_qkv",
214
+ "language_model.model.layers.18.linear_attn.in_proj_z",
215
+ "language_model.model.layers.18.linear_attn.out_proj",
216
+ "language_model.model.layers.18.mlp.shared_expert.down_proj",
217
+ "language_model.model.layers.18.mlp.shared_expert.gate_proj",
218
+ "language_model.model.layers.18.mlp.shared_expert.up_proj",
219
+ "language_model.model.layers.18.mlp.shared_expert_gate",
220
+ "language_model.model.layers.18.mlp.switch_mlp.down_proj",
221
+ "language_model.model.layers.18.mlp.switch_mlp.gate_proj",
222
+ "language_model.model.layers.18.mlp.switch_mlp.up_proj",
223
+ "language_model.model.layers.19.mlp.shared_expert.down_proj",
224
+ "language_model.model.layers.19.mlp.shared_expert.gate_proj",
225
+ "language_model.model.layers.19.mlp.shared_expert.up_proj",
226
+ "language_model.model.layers.19.mlp.shared_expert_gate",
227
+ "language_model.model.layers.19.mlp.switch_mlp.down_proj",
228
+ "language_model.model.layers.19.mlp.switch_mlp.gate_proj",
229
+ "language_model.model.layers.19.mlp.switch_mlp.up_proj",
230
+ "language_model.model.layers.19.self_attn.k_proj",
231
+ "language_model.model.layers.19.self_attn.o_proj",
232
+ "language_model.model.layers.19.self_attn.q_proj",
233
+ "language_model.model.layers.19.self_attn.v_proj",
234
+ "language_model.model.layers.2.linear_attn.in_proj_a",
235
+ "language_model.model.layers.2.linear_attn.in_proj_b",
236
+ "language_model.model.layers.2.linear_attn.in_proj_qkv",
237
+ "language_model.model.layers.2.linear_attn.in_proj_z",
238
+ "language_model.model.layers.2.linear_attn.out_proj",
239
+ "language_model.model.layers.2.mlp.shared_expert.down_proj",
240
+ "language_model.model.layers.2.mlp.shared_expert.gate_proj",
241
+ "language_model.model.layers.2.mlp.shared_expert.up_proj",
242
+ "language_model.model.layers.2.mlp.shared_expert_gate",
243
+ "language_model.model.layers.2.mlp.switch_mlp.down_proj",
244
+ "language_model.model.layers.2.mlp.switch_mlp.gate_proj",
245
+ "language_model.model.layers.2.mlp.switch_mlp.up_proj",
246
+ "language_model.model.layers.20.linear_attn.in_proj_a",
247
+ "language_model.model.layers.20.linear_attn.in_proj_b",
248
+ "language_model.model.layers.20.linear_attn.in_proj_qkv",
249
+ "language_model.model.layers.20.linear_attn.in_proj_z",
250
+ "language_model.model.layers.20.linear_attn.out_proj",
251
+ "language_model.model.layers.20.mlp.shared_expert.down_proj",
252
+ "language_model.model.layers.20.mlp.shared_expert.gate_proj",
253
+ "language_model.model.layers.20.mlp.shared_expert.up_proj",
254
+ "language_model.model.layers.20.mlp.shared_expert_gate",
255
+ "language_model.model.layers.20.mlp.switch_mlp.down_proj",
256
+ "language_model.model.layers.20.mlp.switch_mlp.gate_proj",
257
+ "language_model.model.layers.20.mlp.switch_mlp.up_proj",
258
+ "language_model.model.layers.21.linear_attn.in_proj_a",
259
+ "language_model.model.layers.21.linear_attn.in_proj_b",
260
+ "language_model.model.layers.21.linear_attn.in_proj_qkv",
261
+ "language_model.model.layers.21.linear_attn.in_proj_z",
262
+ "language_model.model.layers.21.linear_attn.out_proj",
263
+ "language_model.model.layers.21.mlp.shared_expert.down_proj",
264
+ "language_model.model.layers.21.mlp.shared_expert.gate_proj",
265
+ "language_model.model.layers.21.mlp.shared_expert.up_proj",
266
+ "language_model.model.layers.21.mlp.shared_expert_gate",
267
+ "language_model.model.layers.21.mlp.switch_mlp.down_proj",
268
+ "language_model.model.layers.21.mlp.switch_mlp.gate_proj",
269
+ "language_model.model.layers.21.mlp.switch_mlp.up_proj",
270
+ "language_model.model.layers.22.linear_attn.in_proj_a",
271
+ "language_model.model.layers.22.linear_attn.in_proj_b",
272
+ "language_model.model.layers.22.linear_attn.in_proj_qkv",
273
+ "language_model.model.layers.22.linear_attn.in_proj_z",
274
+ "language_model.model.layers.22.linear_attn.out_proj",
275
+ "language_model.model.layers.22.mlp.shared_expert.down_proj",
276
+ "language_model.model.layers.22.mlp.shared_expert.gate_proj",
277
+ "language_model.model.layers.22.mlp.shared_expert.up_proj",
278
+ "language_model.model.layers.22.mlp.shared_expert_gate",
279
+ "language_model.model.layers.22.mlp.switch_mlp.down_proj",
280
+ "language_model.model.layers.22.mlp.switch_mlp.gate_proj",
281
+ "language_model.model.layers.22.mlp.switch_mlp.up_proj",
282
+ "language_model.model.layers.23.mlp.shared_expert.down_proj",
283
+ "language_model.model.layers.23.mlp.shared_expert.gate_proj",
284
+ "language_model.model.layers.23.mlp.shared_expert.up_proj",
285
+ "language_model.model.layers.23.mlp.shared_expert_gate",
286
+ "language_model.model.layers.23.mlp.switch_mlp.down_proj",
287
+ "language_model.model.layers.23.mlp.switch_mlp.gate_proj",
288
+ "language_model.model.layers.23.mlp.switch_mlp.up_proj",
289
+ "language_model.model.layers.23.self_attn.k_proj",
290
+ "language_model.model.layers.23.self_attn.o_proj",
291
+ "language_model.model.layers.23.self_attn.q_proj",
292
+ "language_model.model.layers.23.self_attn.v_proj",
293
+ "language_model.model.layers.24.linear_attn.in_proj_a",
294
+ "language_model.model.layers.24.linear_attn.in_proj_b",
295
+ "language_model.model.layers.24.linear_attn.in_proj_qkv",
296
+ "language_model.model.layers.24.linear_attn.in_proj_z",
297
+ "language_model.model.layers.24.linear_attn.out_proj",
298
+ "language_model.model.layers.24.mlp.shared_expert.down_proj",
299
+ "language_model.model.layers.24.mlp.shared_expert.gate_proj",
300
+ "language_model.model.layers.24.mlp.shared_expert.up_proj",
301
+ "language_model.model.layers.24.mlp.shared_expert_gate",
302
+ "language_model.model.layers.24.mlp.switch_mlp.down_proj",
303
+ "language_model.model.layers.24.mlp.switch_mlp.gate_proj",
304
+ "language_model.model.layers.24.mlp.switch_mlp.up_proj",
305
+ "language_model.model.layers.25.linear_attn.in_proj_a",
306
+ "language_model.model.layers.25.linear_attn.in_proj_b",
307
+ "language_model.model.layers.25.linear_attn.in_proj_qkv",
308
+ "language_model.model.layers.25.linear_attn.in_proj_z",
309
+ "language_model.model.layers.25.linear_attn.out_proj",
310
+ "language_model.model.layers.25.mlp.shared_expert.down_proj",
311
+ "language_model.model.layers.25.mlp.shared_expert.gate_proj",
312
+ "language_model.model.layers.25.mlp.shared_expert.up_proj",
313
+ "language_model.model.layers.25.mlp.shared_expert_gate",
314
+ "language_model.model.layers.25.mlp.switch_mlp.down_proj",
315
+ "language_model.model.layers.25.mlp.switch_mlp.gate_proj",
316
+ "language_model.model.layers.25.mlp.switch_mlp.up_proj",
317
+ "language_model.model.layers.26.linear_attn.in_proj_a",
318
+ "language_model.model.layers.26.linear_attn.in_proj_b",
319
+ "language_model.model.layers.26.linear_attn.in_proj_qkv",
320
+ "language_model.model.layers.26.linear_attn.in_proj_z",
321
+ "language_model.model.layers.26.linear_attn.out_proj",
322
+ "language_model.model.layers.26.mlp.shared_expert.down_proj",
323
+ "language_model.model.layers.26.mlp.shared_expert.gate_proj",
324
+ "language_model.model.layers.26.mlp.shared_expert.up_proj",
325
+ "language_model.model.layers.26.mlp.shared_expert_gate",
326
+ "language_model.model.layers.26.mlp.switch_mlp.down_proj",
327
+ "language_model.model.layers.26.mlp.switch_mlp.gate_proj",
328
+ "language_model.model.layers.26.mlp.switch_mlp.up_proj",
329
+ "language_model.model.layers.27.mlp.shared_expert.down_proj",
330
+ "language_model.model.layers.27.mlp.shared_expert.gate_proj",
331
+ "language_model.model.layers.27.mlp.shared_expert.up_proj",
332
+ "language_model.model.layers.27.mlp.shared_expert_gate",
333
+ "language_model.model.layers.27.mlp.switch_mlp.down_proj",
334
+ "language_model.model.layers.27.mlp.switch_mlp.gate_proj",
335
+ "language_model.model.layers.27.mlp.switch_mlp.up_proj",
336
+ "language_model.model.layers.27.self_attn.k_proj",
337
+ "language_model.model.layers.27.self_attn.o_proj",
338
+ "language_model.model.layers.27.self_attn.q_proj",
339
+ "language_model.model.layers.27.self_attn.v_proj",
340
+ "language_model.model.layers.28.linear_attn.in_proj_a",
341
+ "language_model.model.layers.28.linear_attn.in_proj_b",
342
+ "language_model.model.layers.28.linear_attn.in_proj_qkv",
343
+ "language_model.model.layers.28.linear_attn.in_proj_z",
344
+ "language_model.model.layers.28.linear_attn.out_proj",
345
+ "language_model.model.layers.28.mlp.shared_expert.down_proj",
346
+ "language_model.model.layers.28.mlp.shared_expert.gate_proj",
347
+ "language_model.model.layers.28.mlp.shared_expert.up_proj",
348
+ "language_model.model.layers.28.mlp.shared_expert_gate",
349
+ "language_model.model.layers.28.mlp.switch_mlp.down_proj",
350
+ "language_model.model.layers.28.mlp.switch_mlp.gate_proj",
351
+ "language_model.model.layers.28.mlp.switch_mlp.up_proj",
352
+ "language_model.model.layers.29.linear_attn.in_proj_a",
353
+ "language_model.model.layers.29.linear_attn.in_proj_b",
354
+ "language_model.model.layers.29.linear_attn.in_proj_qkv",
355
+ "language_model.model.layers.29.linear_attn.in_proj_z",
356
+ "language_model.model.layers.29.linear_attn.out_proj",
357
+ "language_model.model.layers.29.mlp.shared_expert.down_proj",
358
+ "language_model.model.layers.29.mlp.shared_expert.gate_proj",
359
+ "language_model.model.layers.29.mlp.shared_expert.up_proj",
360
+ "language_model.model.layers.29.mlp.shared_expert_gate",
361
+ "language_model.model.layers.29.mlp.switch_mlp.down_proj",
362
+ "language_model.model.layers.29.mlp.switch_mlp.gate_proj",
363
+ "language_model.model.layers.29.mlp.switch_mlp.up_proj",
364
+ "language_model.model.layers.3.mlp.shared_expert.down_proj",
365
+ "language_model.model.layers.3.mlp.shared_expert.gate_proj",
366
+ "language_model.model.layers.3.mlp.shared_expert.up_proj",
367
+ "language_model.model.layers.3.mlp.shared_expert_gate",
368
+ "language_model.model.layers.3.mlp.switch_mlp.down_proj",
369
+ "language_model.model.layers.3.mlp.switch_mlp.gate_proj",
370
+ "language_model.model.layers.3.mlp.switch_mlp.up_proj",
371
+ "language_model.model.layers.3.self_attn.k_proj",
372
+ "language_model.model.layers.3.self_attn.o_proj",
373
+ "language_model.model.layers.3.self_attn.q_proj",
374
+ "language_model.model.layers.3.self_attn.v_proj",
375
+ "language_model.model.layers.30.linear_attn.in_proj_a",
376
+ "language_model.model.layers.30.linear_attn.in_proj_b",
377
+ "language_model.model.layers.30.linear_attn.in_proj_qkv",
378
+ "language_model.model.layers.30.linear_attn.in_proj_z",
379
+ "language_model.model.layers.30.linear_attn.out_proj",
380
+ "language_model.model.layers.30.mlp.shared_expert.down_proj",
381
+ "language_model.model.layers.30.mlp.shared_expert.gate_proj",
382
+ "language_model.model.layers.30.mlp.shared_expert.up_proj",
383
+ "language_model.model.layers.30.mlp.shared_expert_gate",
384
+ "language_model.model.layers.30.mlp.switch_mlp.down_proj",
385
+ "language_model.model.layers.30.mlp.switch_mlp.gate_proj",
386
+ "language_model.model.layers.30.mlp.switch_mlp.up_proj",
387
+ "language_model.model.layers.31.mlp.shared_expert.down_proj",
388
+ "language_model.model.layers.31.mlp.shared_expert.gate_proj",
389
+ "language_model.model.layers.31.mlp.shared_expert.up_proj",
390
+ "language_model.model.layers.31.mlp.shared_expert_gate",
391
+ "language_model.model.layers.31.mlp.switch_mlp.down_proj",
392
+ "language_model.model.layers.31.mlp.switch_mlp.gate_proj",
393
+ "language_model.model.layers.31.mlp.switch_mlp.up_proj",
394
+ "language_model.model.layers.31.self_attn.k_proj",
395
+ "language_model.model.layers.31.self_attn.o_proj",
396
+ "language_model.model.layers.31.self_attn.q_proj",
397
+ "language_model.model.layers.31.self_attn.v_proj",
398
+ "language_model.model.layers.32.linear_attn.in_proj_a",
399
+ "language_model.model.layers.32.linear_attn.in_proj_b",
400
+ "language_model.model.layers.32.linear_attn.in_proj_qkv",
401
+ "language_model.model.layers.32.linear_attn.in_proj_z",
402
+ "language_model.model.layers.32.linear_attn.out_proj",
403
+ "language_model.model.layers.32.mlp.shared_expert.down_proj",
404
+ "language_model.model.layers.32.mlp.shared_expert.gate_proj",
405
+ "language_model.model.layers.32.mlp.shared_expert.up_proj",
406
+ "language_model.model.layers.32.mlp.shared_expert_gate",
407
+ "language_model.model.layers.32.mlp.switch_mlp.down_proj",
408
+ "language_model.model.layers.32.mlp.switch_mlp.gate_proj",
409
+ "language_model.model.layers.32.mlp.switch_mlp.up_proj",
410
+ "language_model.model.layers.33.linear_attn.in_proj_a",
411
+ "language_model.model.layers.33.linear_attn.in_proj_b",
412
+ "language_model.model.layers.33.linear_attn.in_proj_qkv",
413
+ "language_model.model.layers.33.linear_attn.in_proj_z",
414
+ "language_model.model.layers.33.linear_attn.out_proj",
415
+ "language_model.model.layers.33.mlp.shared_expert.down_proj",
416
+ "language_model.model.layers.33.mlp.shared_expert.gate_proj",
417
+ "language_model.model.layers.33.mlp.shared_expert.up_proj",
418
+ "language_model.model.layers.33.mlp.shared_expert_gate",
419
+ "language_model.model.layers.33.mlp.switch_mlp.down_proj",
420
+ "language_model.model.layers.33.mlp.switch_mlp.gate_proj",
421
+ "language_model.model.layers.33.mlp.switch_mlp.up_proj",
422
+ "language_model.model.layers.34.linear_attn.in_proj_a",
423
+ "language_model.model.layers.34.linear_attn.in_proj_b",
424
+ "language_model.model.layers.34.linear_attn.in_proj_qkv",
425
+ "language_model.model.layers.34.linear_attn.in_proj_z",
426
+ "language_model.model.layers.34.linear_attn.out_proj",
427
+ "language_model.model.layers.34.mlp.shared_expert.down_proj",
428
+ "language_model.model.layers.34.mlp.shared_expert.gate_proj",
429
+ "language_model.model.layers.34.mlp.shared_expert.up_proj",
430
+ "language_model.model.layers.34.mlp.shared_expert_gate",
431
+ "language_model.model.layers.34.mlp.switch_mlp.down_proj",
432
+ "language_model.model.layers.34.mlp.switch_mlp.gate_proj",
433
+ "language_model.model.layers.34.mlp.switch_mlp.up_proj",
434
+ "language_model.model.layers.35.mlp.shared_expert.down_proj",
435
+ "language_model.model.layers.35.mlp.shared_expert.gate_proj",
436
+ "language_model.model.layers.35.mlp.shared_expert.up_proj",
437
+ "language_model.model.layers.35.mlp.shared_expert_gate",
438
+ "language_model.model.layers.35.mlp.switch_mlp.down_proj",
439
+ "language_model.model.layers.35.mlp.switch_mlp.gate_proj",
440
+ "language_model.model.layers.35.mlp.switch_mlp.up_proj",
441
+ "language_model.model.layers.35.self_attn.k_proj",
442
+ "language_model.model.layers.35.self_attn.o_proj",
443
+ "language_model.model.layers.35.self_attn.q_proj",
444
+ "language_model.model.layers.35.self_attn.v_proj",
445
+ "language_model.model.layers.36.linear_attn.in_proj_a",
446
+ "language_model.model.layers.36.linear_attn.in_proj_b",
447
+ "language_model.model.layers.36.linear_attn.in_proj_qkv",
448
+ "language_model.model.layers.36.linear_attn.in_proj_z",
449
+ "language_model.model.layers.36.linear_attn.out_proj",
450
+ "language_model.model.layers.36.mlp.shared_expert.down_proj",
451
+ "language_model.model.layers.36.mlp.shared_expert.gate_proj",
452
+ "language_model.model.layers.36.mlp.shared_expert.up_proj",
453
+ "language_model.model.layers.36.mlp.shared_expert_gate",
454
+ "language_model.model.layers.36.mlp.switch_mlp.down_proj",
455
+ "language_model.model.layers.36.mlp.switch_mlp.gate_proj",
456
+ "language_model.model.layers.36.mlp.switch_mlp.up_proj",
457
+ "language_model.model.layers.37.linear_attn.in_proj_a",
458
+ "language_model.model.layers.37.linear_attn.in_proj_b",
459
+ "language_model.model.layers.37.linear_attn.in_proj_qkv",
460
+ "language_model.model.layers.37.linear_attn.in_proj_z",
461
+ "language_model.model.layers.37.linear_attn.out_proj",
462
+ "language_model.model.layers.37.mlp.shared_expert.down_proj",
463
+ "language_model.model.layers.37.mlp.shared_expert.gate_proj",
464
+ "language_model.model.layers.37.mlp.shared_expert.up_proj",
465
+ "language_model.model.layers.37.mlp.shared_expert_gate",
466
+ "language_model.model.layers.37.mlp.switch_mlp.down_proj",
467
+ "language_model.model.layers.37.mlp.switch_mlp.gate_proj",
468
+ "language_model.model.layers.37.mlp.switch_mlp.up_proj",
469
+ "language_model.model.layers.38.linear_attn.in_proj_a",
470
+ "language_model.model.layers.38.linear_attn.in_proj_b",
471
+ "language_model.model.layers.38.linear_attn.in_proj_qkv",
472
+ "language_model.model.layers.38.linear_attn.in_proj_z",
473
+ "language_model.model.layers.38.linear_attn.out_proj",
474
+ "language_model.model.layers.38.mlp.shared_expert.down_proj",
475
+ "language_model.model.layers.38.mlp.shared_expert.gate_proj",
476
+ "language_model.model.layers.38.mlp.shared_expert.up_proj",
477
+ "language_model.model.layers.38.mlp.shared_expert_gate",
478
+ "language_model.model.layers.38.mlp.switch_mlp.down_proj",
479
+ "language_model.model.layers.38.mlp.switch_mlp.gate_proj",
480
+ "language_model.model.layers.38.mlp.switch_mlp.up_proj",
481
+ "language_model.model.layers.39.mlp.shared_expert.down_proj",
482
+ "language_model.model.layers.39.mlp.shared_expert.gate_proj",
483
+ "language_model.model.layers.39.mlp.shared_expert.up_proj",
484
+ "language_model.model.layers.39.mlp.shared_expert_gate",
485
+ "language_model.model.layers.39.mlp.switch_mlp.down_proj",
486
+ "language_model.model.layers.39.mlp.switch_mlp.gate_proj",
487
+ "language_model.model.layers.39.mlp.switch_mlp.up_proj",
488
+ "language_model.model.layers.39.self_attn.k_proj",
489
+ "language_model.model.layers.39.self_attn.o_proj",
490
+ "language_model.model.layers.39.self_attn.q_proj",
491
+ "language_model.model.layers.39.self_attn.v_proj",
492
+ "language_model.model.layers.4.linear_attn.in_proj_a",
493
+ "language_model.model.layers.4.linear_attn.in_proj_b",
494
+ "language_model.model.layers.4.linear_attn.in_proj_qkv",
495
+ "language_model.model.layers.4.linear_attn.in_proj_z",
496
+ "language_model.model.layers.4.linear_attn.out_proj",
497
+ "language_model.model.layers.4.mlp.shared_expert.down_proj",
498
+ "language_model.model.layers.4.mlp.shared_expert.gate_proj",
499
+ "language_model.model.layers.4.mlp.shared_expert.up_proj",
500
+ "language_model.model.layers.4.mlp.shared_expert_gate",
501
+ "language_model.model.layers.4.mlp.switch_mlp.down_proj",
502
+ "language_model.model.layers.4.mlp.switch_mlp.gate_proj",
503
+ "language_model.model.layers.4.mlp.switch_mlp.up_proj",
504
+ "language_model.model.layers.5.linear_attn.in_proj_a",
505
+ "language_model.model.layers.5.linear_attn.in_proj_b",
506
+ "language_model.model.layers.5.linear_attn.in_proj_qkv",
507
+ "language_model.model.layers.5.linear_attn.in_proj_z",
508
+ "language_model.model.layers.5.linear_attn.out_proj",
509
+ "language_model.model.layers.5.mlp.shared_expert.down_proj",
510
+ "language_model.model.layers.5.mlp.shared_expert.gate_proj",
511
+ "language_model.model.layers.5.mlp.shared_expert.up_proj",
512
+ "language_model.model.layers.5.mlp.shared_expert_gate",
513
+ "language_model.model.layers.5.mlp.switch_mlp.down_proj",
514
+ "language_model.model.layers.5.mlp.switch_mlp.gate_proj",
515
+ "language_model.model.layers.5.mlp.switch_mlp.up_proj",
516
+ "language_model.model.layers.6.linear_attn.in_proj_a",
517
+ "language_model.model.layers.6.linear_attn.in_proj_b",
518
+ "language_model.model.layers.6.linear_attn.in_proj_qkv",
519
+ "language_model.model.layers.6.linear_attn.in_proj_z",
520
+ "language_model.model.layers.6.linear_attn.out_proj",
521
+ "language_model.model.layers.6.mlp.shared_expert.down_proj",
522
+ "language_model.model.layers.6.mlp.shared_expert.gate_proj",
523
+ "language_model.model.layers.6.mlp.shared_expert.up_proj",
524
+ "language_model.model.layers.6.mlp.shared_expert_gate",
525
+ "language_model.model.layers.6.mlp.switch_mlp.down_proj",
526
+ "language_model.model.layers.6.mlp.switch_mlp.gate_proj",
527
+ "language_model.model.layers.6.mlp.switch_mlp.up_proj",
528
+ "language_model.model.layers.7.mlp.shared_expert.down_proj",
529
+ "language_model.model.layers.7.mlp.shared_expert.gate_proj",
530
+ "language_model.model.layers.7.mlp.shared_expert.up_proj",
531
+ "language_model.model.layers.7.mlp.shared_expert_gate",
532
+ "language_model.model.layers.7.mlp.switch_mlp.down_proj",
533
+ "language_model.model.layers.7.mlp.switch_mlp.gate_proj",
534
+ "language_model.model.layers.7.mlp.switch_mlp.up_proj",
535
+ "language_model.model.layers.7.self_attn.k_proj",
536
+ "language_model.model.layers.7.self_attn.o_proj",
537
+ "language_model.model.layers.7.self_attn.q_proj",
538
+ "language_model.model.layers.7.self_attn.v_proj",
539
+ "language_model.model.layers.8.linear_attn.in_proj_a",
540
+ "language_model.model.layers.8.linear_attn.in_proj_b",
541
+ "language_model.model.layers.8.linear_attn.in_proj_qkv",
542
+ "language_model.model.layers.8.linear_attn.in_proj_z",
543
+ "language_model.model.layers.8.linear_attn.out_proj",
544
+ "language_model.model.layers.8.mlp.shared_expert.down_proj",
545
+ "language_model.model.layers.8.mlp.shared_expert.gate_proj",
546
+ "language_model.model.layers.8.mlp.shared_expert.up_proj",
547
+ "language_model.model.layers.8.mlp.shared_expert_gate",
548
+ "language_model.model.layers.8.mlp.switch_mlp.down_proj",
549
+ "language_model.model.layers.8.mlp.switch_mlp.gate_proj",
550
+ "language_model.model.layers.8.mlp.switch_mlp.up_proj",
551
+ "language_model.model.layers.9.linear_attn.in_proj_a",
552
+ "language_model.model.layers.9.linear_attn.in_proj_b",
553
+ "language_model.model.layers.9.linear_attn.in_proj_qkv",
554
+ "language_model.model.layers.9.linear_attn.in_proj_z",
555
+ "language_model.model.layers.9.linear_attn.out_proj",
556
+ "language_model.model.layers.9.mlp.shared_expert.down_proj",
557
+ "language_model.model.layers.9.mlp.shared_expert.gate_proj",
558
+ "language_model.model.layers.9.mlp.shared_expert.up_proj",
559
+ "language_model.model.layers.9.mlp.shared_expert_gate",
560
+ "language_model.model.layers.9.mlp.switch_mlp.down_proj",
561
+ "language_model.model.layers.9.mlp.switch_mlp.gate_proj",
562
+ "language_model.model.layers.9.mlp.switch_mlp.up_proj",
563
+ "language_model.mtp.layers.0.mlp.shared_expert.down_proj",
564
+ "language_model.mtp.layers.0.mlp.shared_expert.gate_proj",
565
+ "language_model.mtp.layers.0.mlp.shared_expert.up_proj",
566
+ "language_model.mtp.layers.0.mlp.shared_expert_gate",
567
+ "language_model.mtp.layers.0.mlp.switch_mlp.down_proj",
568
+ "language_model.mtp.layers.0.mlp.switch_mlp.gate_proj",
569
+ "language_model.mtp.layers.0.mlp.switch_mlp.up_proj",
570
+ "language_model.mtp.layers.0.self_attn.k_proj",
571
+ "language_model.mtp.layers.0.self_attn.o_proj",
572
+ "language_model.mtp.layers.0.self_attn.q_proj",
573
+ "language_model.mtp.layers.0.self_attn.v_proj"
574
+ ],
575
+ "missing": [
576
+ "language_model.lm_head",
577
+ "language_model.model.embed_tokens"
578
+ ],
579
+ "mismatched": [],
580
+ "zero_count_experts": 0
581
+ }
preprocessor_config.json ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "size": {
3
+ "longest_edge": 16777216,
4
+ "shortest_edge": 65536
5
+ },
6
+ "patch_size": 16,
7
+ "temporal_patch_size": 2,
8
+ "merge_size": 2,
9
+ "image_mean": [
10
+ 0.5,
11
+ 0.5,
12
+ 0.5
13
+ ],
14
+ "image_std": [
15
+ 0.5,
16
+ 0.5,
17
+ 0.5
18
+ ],
19
+ "processor_class": "Qwen3VLProcessor",
20
+ "image_processor_type": "Qwen2VLImageProcessorFast"
21
+ }
tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5f9e4d4901a92b997e463c1f46055088b6cca5ca61a6522d1b9f64c4bb81cb42
3
+ size 12807982
tokenizer_config.json ADDED
@@ -0,0 +1,305 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "added_tokens_decoder": {
4
+ "248044": {
5
+ "content": "<|endoftext|>",
6
+ "lstrip": false,
7
+ "normalized": false,
8
+ "rstrip": false,
9
+ "single_word": false,
10
+ "special": true
11
+ },
12
+ "248045": {
13
+ "content": "<|im_start|>",
14
+ "lstrip": false,
15
+ "normalized": false,
16
+ "rstrip": false,
17
+ "single_word": false,
18
+ "special": true
19
+ },
20
+ "248046": {
21
+ "content": "<|im_end|>",
22
+ "lstrip": false,
23
+ "normalized": false,
24
+ "rstrip": false,
25
+ "single_word": false,
26
+ "special": true
27
+ },
28
+ "248047": {
29
+ "content": "<|object_ref_start|>",
30
+ "lstrip": false,
31
+ "normalized": false,
32
+ "rstrip": false,
33
+ "single_word": false,
34
+ "special": true
35
+ },
36
+ "248048": {
37
+ "content": "<|object_ref_end|>",
38
+ "lstrip": false,
39
+ "normalized": false,
40
+ "rstrip": false,
41
+ "single_word": false,
42
+ "special": true
43
+ },
44
+ "248049": {
45
+ "content": "<|box_start|>",
46
+ "lstrip": false,
47
+ "normalized": false,
48
+ "rstrip": false,
49
+ "single_word": false,
50
+ "special": true
51
+ },
52
+ "248050": {
53
+ "content": "<|box_end|>",
54
+ "lstrip": false,
55
+ "normalized": false,
56
+ "rstrip": false,
57
+ "single_word": false,
58
+ "special": true
59
+ },
60
+ "248051": {
61
+ "content": "<|quad_start|>",
62
+ "lstrip": false,
63
+ "normalized": false,
64
+ "rstrip": false,
65
+ "single_word": false,
66
+ "special": true
67
+ },
68
+ "248052": {
69
+ "content": "<|quad_end|>",
70
+ "lstrip": false,
71
+ "normalized": false,
72
+ "rstrip": false,
73
+ "single_word": false,
74
+ "special": true
75
+ },
76
+ "248053": {
77
+ "content": "<|vision_start|>",
78
+ "lstrip": false,
79
+ "normalized": false,
80
+ "rstrip": false,
81
+ "single_word": false,
82
+ "special": true
83
+ },
84
+ "248054": {
85
+ "content": "<|vision_end|>",
86
+ "lstrip": false,
87
+ "normalized": false,
88
+ "rstrip": false,
89
+ "single_word": false,
90
+ "special": true
91
+ },
92
+ "248055": {
93
+ "content": "<|vision_pad|>",
94
+ "lstrip": false,
95
+ "normalized": false,
96
+ "rstrip": false,
97
+ "single_word": false,
98
+ "special": true
99
+ },
100
+ "248056": {
101
+ "content": "<|image_pad|>",
102
+ "lstrip": false,
103
+ "normalized": false,
104
+ "rstrip": false,
105
+ "single_word": false,
106
+ "special": true
107
+ },
108
+ "248057": {
109
+ "content": "<|video_pad|>",
110
+ "lstrip": false,
111
+ "normalized": false,
112
+ "rstrip": false,
113
+ "single_word": false,
114
+ "special": true
115
+ },
116
+ "248058": {
117
+ "content": "<tool_call>",
118
+ "lstrip": false,
119
+ "normalized": false,
120
+ "rstrip": false,
121
+ "single_word": false,
122
+ "special": false
123
+ },
124
+ "248059": {
125
+ "content": "</tool_call>",
126
+ "lstrip": false,
127
+ "normalized": false,
128
+ "rstrip": false,
129
+ "single_word": false,
130
+ "special": false
131
+ },
132
+ "248060": {
133
+ "content": "<|fim_prefix|>",
134
+ "lstrip": false,
135
+ "normalized": false,
136
+ "rstrip": false,
137
+ "single_word": false,
138
+ "special": false
139
+ },
140
+ "248061": {
141
+ "content": "<|fim_middle|>",
142
+ "lstrip": false,
143
+ "normalized": false,
144
+ "rstrip": false,
145
+ "single_word": false,
146
+ "special": false
147
+ },
148
+ "248062": {
149
+ "content": "<|fim_suffix|>",
150
+ "lstrip": false,
151
+ "normalized": false,
152
+ "rstrip": false,
153
+ "single_word": false,
154
+ "special": false
155
+ },
156
+ "248063": {
157
+ "content": "<|fim_pad|>",
158
+ "lstrip": false,
159
+ "normalized": false,
160
+ "rstrip": false,
161
+ "single_word": false,
162
+ "special": false
163
+ },
164
+ "248064": {
165
+ "content": "<|repo_name|>",
166
+ "lstrip": false,
167
+ "normalized": false,
168
+ "rstrip": false,
169
+ "single_word": false,
170
+ "special": false
171
+ },
172
+ "248065": {
173
+ "content": "<|file_sep|>",
174
+ "lstrip": false,
175
+ "normalized": false,
176
+ "rstrip": false,
177
+ "single_word": false,
178
+ "special": false
179
+ },
180
+ "248066": {
181
+ "content": "<tool_response>",
182
+ "lstrip": false,
183
+ "normalized": false,
184
+ "rstrip": false,
185
+ "single_word": false,
186
+ "special": false
187
+ },
188
+ "248067": {
189
+ "content": "</tool_response>",
190
+ "lstrip": false,
191
+ "normalized": false,
192
+ "rstrip": false,
193
+ "single_word": false,
194
+ "special": false
195
+ },
196
+ "248068": {
197
+ "content": "<think>",
198
+ "lstrip": false,
199
+ "normalized": false,
200
+ "rstrip": false,
201
+ "single_word": false,
202
+ "special": false
203
+ },
204
+ "248069": {
205
+ "content": "</think>",
206
+ "lstrip": false,
207
+ "normalized": false,
208
+ "rstrip": false,
209
+ "single_word": false,
210
+ "special": false
211
+ },
212
+ "248070": {
213
+ "content": "<|audio_start|>",
214
+ "lstrip": false,
215
+ "normalized": false,
216
+ "rstrip": false,
217
+ "single_word": false,
218
+ "special": true
219
+ },
220
+ "248071": {
221
+ "content": "<|audio_end|>",
222
+ "lstrip": false,
223
+ "normalized": false,
224
+ "rstrip": false,
225
+ "single_word": false,
226
+ "special": true
227
+ },
228
+ "248072": {
229
+ "content": "<tts_pad>",
230
+ "lstrip": false,
231
+ "normalized": false,
232
+ "rstrip": false,
233
+ "single_word": false,
234
+ "special": true
235
+ },
236
+ "248073": {
237
+ "content": "<tts_text_bos>",
238
+ "lstrip": false,
239
+ "normalized": false,
240
+ "rstrip": false,
241
+ "single_word": false,
242
+ "special": true
243
+ },
244
+ "248074": {
245
+ "content": "<tts_text_eod>",
246
+ "lstrip": false,
247
+ "normalized": false,
248
+ "rstrip": false,
249
+ "single_word": false,
250
+ "special": true
251
+ },
252
+ "248075": {
253
+ "content": "<tts_text_bos_single>",
254
+ "lstrip": false,
255
+ "normalized": false,
256
+ "rstrip": false,
257
+ "single_word": false,
258
+ "special": true
259
+ },
260
+ "248076": {
261
+ "content": "<|audio_pad|>",
262
+ "lstrip": false,
263
+ "normalized": false,
264
+ "rstrip": false,
265
+ "single_word": false,
266
+ "special": true
267
+ }
268
+ },
269
+ "additional_special_tokens": [
270
+ "<|im_start|>",
271
+ "<|im_end|>",
272
+ "<|object_ref_start|>",
273
+ "<|object_ref_end|>",
274
+ "<|box_start|>",
275
+ "<|box_end|>",
276
+ "<|quad_start|>",
277
+ "<|quad_end|>",
278
+ "<|vision_start|>",
279
+ "<|vision_end|>",
280
+ "<|vision_pad|>",
281
+ "<|image_pad|>",
282
+ "<|video_pad|>"
283
+ ],
284
+ "bos_token": null,
285
+ "chat_template": "{%- set image_count = namespace(value=0) %}\n{%- set video_count = namespace(value=0) %}\n{%- macro render_content(content, do_vision_count, is_system_content=false) %}\n {%- if content is string %}\n {{- content }}\n {%- elif content is iterable and content is not mapping %}\n {%- for item in content %}\n {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}\n {%- if is_system_content %}\n {{- raise_exception('System message cannot contain images.') }}\n {%- endif %}\n {%- if do_vision_count %}\n {%- set image_count.value = image_count.value + 1 %}\n {%- endif %}\n {%- if add_vision_id %}\n {{- 'Picture ' ~ image_count.value ~ ': ' }}\n {%- endif %}\n {{- '<|vision_start|><|image_pad|><|vision_end|>' }}\n {%- elif 'video' in item or item.type == 'video' %}\n {%- if is_system_content %}\n {{- raise_exception('System message cannot contain videos.') }}\n {%- endif %}\n {%- if do_vision_count %}\n {%- set video_count.value = video_count.value + 1 %}\n {%- endif %}\n {%- if add_vision_id %}\n {{- 'Video ' ~ video_count.value ~ ': ' }}\n {%- endif %}\n {{- '<|vision_start|><|video_pad|><|vision_end|>' }}\n {%- elif 'text' in item %}\n {{- item.text }}\n {%- else %}\n {{- raise_exception('Unexpected item type in content.') }}\n {%- endif %}\n {%- endfor %}\n {%- elif content is none or content is undefined %}\n {{- '' }}\n {%- else %}\n {{- raise_exception('Unexpected content type.') }}\n {%- endif %}\n{%- endmacro %}\n{%- if not messages %}\n {{- raise_exception('No messages provided.') }}\n{%- endif %}\n{%- if tools and tools is iterable and tools is not mapping %}\n {{- '<|im_start|>system\\n' }}\n {{- \"# Tools\\n\\nYou have access to the following functions:\\n\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\" }}\n {{- '\\n\\nIf you choose to call a function ONLY reply in the following format with NO suffix:\\n\\n<tool_call>\\n<function=example_function_name>\\n<parameter=example_parameter_1>\\nvalue_1\\n</parameter>\\n<parameter=example_parameter_2>\\nThis is the value for the second parameter\\nthat can span\\nmultiple lines\\n</parameter>\\n</function>\\n</tool_call>\\n\\n<IMPORTANT>\\nReminder:\\n- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags\\n- Required parameters MUST be specified\\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\\n</IMPORTANT>' }}\n {%- if messages[0].role == 'system' %}\n {%- set content = render_content(messages[0].content, false, true)|trim %}\n {%- if content %}\n {{- '\\n\\n' + content }}\n {%- endif %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n{%- else %}\n {%- if messages[0].role == 'system' %}\n {%- set content = render_content(messages[0].content, false, true)|trim %}\n {{- '<|im_start|>system\\n' + content + '<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n {%- set index = (messages|length - 1) - loop.index0 %}\n {%- if ns.multi_step_tool and message.role == \"user\" %}\n {%- set content = render_content(message.content, false)|trim %}\n {%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}\n {%- set ns.multi_step_tool = false %}\n {%- set ns.last_query_index = index %}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if ns.multi_step_tool %}\n {{- raise_exception('No user query found in messages.') }}\n{%- endif %}\n{%- for message in messages %}\n {%- set content = render_content(message.content, true)|trim %}\n {%- if message.role == \"system\" %}\n {%- if not loop.first %}\n {{- raise_exception('System message must be at the beginning.') }}\n {%- endif %}\n {%- elif message.role == \"user\" %}\n {{- '<|im_start|>' + message.role + '\\n' + content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {%- set reasoning_content = '' %}\n {%- if message.reasoning_content is string %}\n {%- set reasoning_content = message.reasoning_content %}\n {%- else %}\n {%- if '</think>' in content %}\n {%- set reasoning_content = content.split('</think>')[0].rstrip('\\n').split('<think>')[-1].lstrip('\\n') %}\n {%- set content = content.split('</think>')[-1].lstrip('\\n') %}\n {%- endif %}\n {%- endif %}\n {%- set reasoning_content = reasoning_content|trim %}\n {%- if (preserve_thinking is defined and preserve_thinking is true) or (loop.index0 > ns.last_query_index) %}\n {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content + '\\n</think>\\n\\n' + content }}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {%- if loop.first %}\n {%- if content|trim %}\n {{- '\\n\\n<tool_call>\\n<function=' + tool_call.name + '>\\n' }}\n {%- else %}\n {{- '<tool_call>\\n<function=' + tool_call.name + '>\\n' }}\n {%- endif %}\n {%- else %}\n {{- '\\n<tool_call>\\n<function=' + tool_call.name + '>\\n' }}\n {%- endif %}\n {%- if tool_call.arguments is defined %}\n {%- for args_name, args_value in tool_call.arguments|items %}\n {{- '<parameter=' + args_name + '>\\n' }}\n {%- set args_value = args_value | string if args_value is string else args_value | tojson | safe %}\n {{- args_value }}\n {{- '\\n</parameter>\\n' }}\n {%- endfor %}\n {%- endif %}\n {{- '</function>\\n</tool_call>' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.previtem and loop.previtem.role != \"tool\" %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- content }}\n {{- '\\n</tool_response>' }}\n {%- if not loop.last and loop.nextitem.role != \"tool\" %}\n {{- '<|im_end|>\\n' }}\n {%- elif loop.last %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- else %}\n {{- raise_exception('Unexpected message role.') }}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n {%- if enable_thinking is defined and enable_thinking is false %}\n {{- '<think>\\n\\n</think>\\n\\n' }}\n {%- else %}\n {{- '<think>\\n' }}\n {%- endif %}\n{%- endif %}",
286
+ "clean_up_tokenization_spaces": false,
287
+ "eos_token": "<|im_end|>",
288
+ "errors": "replace",
289
+ "model_max_length": 262144,
290
+ "pad_token": "<|endoftext|>",
291
+ "split_special_tokens": false,
292
+ "tokenizer_class": "Qwen2Tokenizer",
293
+ "unk_token": null,
294
+ "add_bos_token": false,
295
+ "pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
296
+ "extra_special_tokens": {
297
+ "audio_bos_token": "<|audio_start|>",
298
+ "audio_eos_token": "<|audio_end|>",
299
+ "audio_token": "<|audio_pad|>",
300
+ "image_token": "<|image_pad|>",
301
+ "video_token": "<|video_pad|>",
302
+ "vision_bos_token": "<|vision_start|>",
303
+ "vision_eos_token": "<|vision_end|>"
304
+ }
305
+ }
vocab.json ADDED
The diff for this file is too large to render. See raw diff