dicksondickson commited on
Commit
6116ae6
·
verified ·
1 Parent(s): b1842b3

Upload folder using huggingface_hub

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
README.md ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ language:
4
+ - en
5
+ base_model:
6
+ - thesysdev/OUI-1
7
+ pipeline_tag: image-text-to-text
8
+ tags:
9
+ - diffusion_gemma
10
+ - diffusion-language-model
11
+ - generative-ui
12
+ - openui
13
+ - openui-lang
14
+ - gemma
15
+ - diffusion
16
+ - mlx
17
+ ---
18
+
19
+ # OUI-1-4bit-mixed-4-8-MLX
20
+
21
+ This model is a quantization of:
22
+ https://huggingface.co/thesysdev/OUI-1
23
+
24
+ It was quantized using mlx-vlm 0.7.0.
25
+
26
+ # How to use
27
+
28
+ Use mlx-vlm https://github.com/Blaizzy/mlx-vlm or oMLX https://github.com/jundot/omlx
29
+
30
+
chat_template.jinja ADDED
@@ -0,0 +1,360 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {%- macro format_parameters(properties, required, filter_keys=false) -%}
2
+ {%- set standard_keys = ['description', 'type', 'properties', 'required', 'nullable'] -%}
3
+ {%- set ns = namespace(found_first=false) -%}
4
+ {%- for key, value in properties | dictsort -%}
5
+ {%- set add_comma = false -%}
6
+ {%- if not filter_keys or key not in standard_keys -%}
7
+ {%- if ns.found_first %},{% endif -%}
8
+ {%- set ns.found_first = true -%}
9
+ {{ key }}:{
10
+ {%- if value['description'] -%}
11
+ description:<|"|>{{ value['description'] }}<|"|>
12
+ {%- set add_comma = true -%}
13
+ {%- endif -%}
14
+ {%- if value['type'] | upper == 'STRING' -%}
15
+ {%- if value['enum'] -%}
16
+ {%- if add_comma %},{%- else -%} {%- set add_comma = true -%} {% endif -%}
17
+ enum:{{ format_argument(value['enum']) }}
18
+ {%- endif -%}
19
+ {%- elif value['type'] | upper == 'ARRAY' -%}
20
+ {%- if value['items'] is mapping and value['items'] -%}
21
+ {%- if add_comma %},{%- else -%} {%- set add_comma = true -%} {% endif -%}
22
+ items:{
23
+ {%- set ns_items = namespace(found_first=false) -%}
24
+ {%- for item_key, item_value in value['items'] | dictsort -%}
25
+ {%- if item_value is not none -%}
26
+ {%- if ns_items.found_first %},{% endif -%}
27
+ {%- set ns_items.found_first = true -%}
28
+ {%- if item_key == 'properties' -%}
29
+ properties:{
30
+ {%- if item_value is mapping -%}
31
+ {{- format_parameters(item_value, value['items']['required'] | default([])) -}}
32
+ {%- endif -%}
33
+ }
34
+ {%- elif item_key == 'required' -%}
35
+ required:[
36
+ {%- for req_item in item_value -%}
37
+ <|"|>{{- req_item -}}<|"|>
38
+ {%- if not loop.last %},{% endif -%}
39
+ {%- endfor -%}
40
+ ]
41
+ {%- elif item_key == 'type' -%}
42
+ {%- if item_value is string -%}
43
+ type:{{ format_argument(item_value | upper) }}
44
+ {%- else -%}
45
+ type:{{ format_argument(item_value | map('upper') | list) }}
46
+ {%- endif -%}
47
+ {%- else -%}
48
+ {{ item_key }}:{{ format_argument(item_value) }}
49
+ {%- endif -%}
50
+ {%- endif -%}
51
+ {%- endfor -%}
52
+ }
53
+ {%- endif -%}
54
+ {%- endif -%}
55
+ {%- if value['nullable'] %}
56
+ {%- if add_comma %},{%- else -%} {%- set add_comma = true -%} {% endif -%}
57
+ nullable:true
58
+ {%- endif -%}
59
+ {%- if value['type'] | upper == 'OBJECT' -%}
60
+ {%- if value['properties'] is defined and value['properties'] is mapping -%}
61
+ {%- if add_comma %},{%- else -%} {%- set add_comma = true -%} {% endif -%}
62
+ properties:{
63
+ {{- format_parameters(value['properties'], value['required'] | default([])) -}}
64
+ }
65
+ {%- elif value is mapping -%}
66
+ {%- if add_comma %},{%- else -%} {%- set add_comma = true -%} {% endif -%}
67
+ properties:{
68
+ {{- format_parameters(value, value['required'] | default([]), filter_keys=true) -}}
69
+ }
70
+ {%- endif -%}
71
+ {%- if value['required'] -%}
72
+ {%- if add_comma %},{%- else -%} {%- set add_comma = true -%} {% endif -%}
73
+ required:[
74
+ {%- for item in value['required'] | default([]) -%}
75
+ <|"|>{{- item -}}<|"|>
76
+ {%- if not loop.last %},{% endif -%}
77
+ {%- endfor -%}
78
+ ]
79
+ {%- endif -%}
80
+ {%- endif -%}
81
+ {%- if add_comma %},{%- else -%} {%- set add_comma = true -%} {% endif -%}
82
+ type:<|"|>{{ value['type'] | upper }}<|"|>}
83
+ {%- endif -%}
84
+ {%- endfor -%}
85
+ {%- endmacro -%}
86
+ {%- macro format_function_declaration(tool_data) -%}
87
+ declaration:{{- tool_data['function']['name'] -}}{description:<|"|>{{- tool_data['function']['description'] -}}<|"|>
88
+ {%- set params = tool_data['function']['parameters'] -%}
89
+ {%- if params -%}
90
+ ,parameters:{
91
+ {%- if params['properties'] -%}
92
+ properties:{ {{- format_parameters(params['properties'], params['required']) -}} },
93
+ {%- endif -%}
94
+ {%- if params['required'] -%}
95
+ required:[
96
+ {%- for item in params['required'] -%}
97
+ <|"|>{{- item -}}<|"|>
98
+ {{- ',' if not loop.last -}}
99
+ {%- endfor -%}
100
+ ],
101
+ {%- endif -%}
102
+ {%- if params['type'] -%}
103
+ type:<|"|>{{- params['type'] | upper -}}<|"|>}
104
+ {%- endif -%}
105
+ {%- endif -%}
106
+ {%- if 'response' in tool_data['function'] -%}
107
+ {%- set response_declaration = tool_data['function']['response'] -%}
108
+ ,response:{
109
+ {%- if response_declaration['description'] -%}
110
+ description:<|"|>{{- response_declaration['description'] -}}<|"|>,
111
+ {%- endif -%}
112
+ {%- if response_declaration['type'] | upper == 'OBJECT' -%}
113
+ type:<|"|>{{- response_declaration['type'] | upper -}}<|"|>}
114
+ {%- endif -%}
115
+ {%- endif -%}
116
+ }
117
+ {%- endmacro -%}
118
+ {%- macro format_argument(argument, escape_keys=True) -%}
119
+ {%- if argument is string -%}
120
+ {{- '<|"|>' + argument + '<|"|>' -}}
121
+ {%- elif argument is boolean -%}
122
+ {{- 'true' if argument else 'false' -}}
123
+ {%- elif argument is mapping -%}
124
+ {{- '{' -}}
125
+ {%- set ns = namespace(found_first=false) -%}
126
+ {%- for key, value in argument | dictsort -%}
127
+ {%- if ns.found_first %},{% endif -%}
128
+ {%- set ns.found_first = true -%}
129
+ {%- if escape_keys -%}
130
+ {{- '<|"|>' + key + '<|"|>' -}}
131
+ {%- else -%}
132
+ {{- key -}}
133
+ {%- endif -%}
134
+ :{{- format_argument(value, escape_keys=escape_keys) -}}
135
+ {%- endfor -%}
136
+ {{- '}' -}}
137
+ {%- elif argument is sequence -%}
138
+ {{- '[' -}}
139
+ {%- for item in argument -%}
140
+ {{- format_argument(item, escape_keys=escape_keys) -}}
141
+ {%- if not loop.last %},{% endif -%}
142
+ {%- endfor -%}
143
+ {{- ']' -}}
144
+ {%- else -%}
145
+ {{- argument -}}
146
+ {%- endif -%}
147
+ {%- endmacro -%}
148
+ {%- macro strip_thinking(text) -%}
149
+ {%- set ns = namespace(result='') -%}
150
+ {%- for part in text.split('<channel|>') -%}
151
+ {%- if '<|channel>' in part -%}
152
+ {%- set ns.result = ns.result + part.split('<|channel>')[0] -%}
153
+ {%- else -%}
154
+ {%- set ns.result = ns.result + part -%}
155
+ {%- endif -%}
156
+ {%- endfor -%}
157
+ {{- ns.result | trim -}}
158
+ {%- endmacro -%}
159
+
160
+ {%- macro format_tool_response_block(tool_name, response) -%}
161
+ {{- '<|tool_response>' -}}
162
+ {%- if response is mapping -%}
163
+ {{- 'response:' + tool_name + '{' -}}
164
+ {%- for key, value in response | dictsort -%}
165
+ {{- key -}}:{{- format_argument(value, escape_keys=False) -}}
166
+ {%- if not loop.last %},{% endif -%}
167
+ {%- endfor -%}
168
+ {{- '}' -}}
169
+ {%- else -%}
170
+ {{- 'response:' + tool_name + '{value:' + format_argument(response, escape_keys=False) + '}' -}}
171
+ {%- endif -%}
172
+ {{- '<tool_response|>' -}}
173
+ {%- endmacro -%}
174
+
175
+ {%- set ns = namespace(prev_message_type=None) -%}
176
+ {%- set loop_messages = messages -%}
177
+ {{- bos_token -}}
178
+ {#- Handle System/Tool Definitions Block -#}
179
+ {%- if (enable_thinking is defined and enable_thinking) or tools or messages[0]['role'] in ['system', 'developer'] -%}
180
+ {{- '<|turn>system\n' -}}
181
+ {#- Inject Thinking token at the very top of the FIRST system turn -#}
182
+ {%- if enable_thinking is defined and enable_thinking -%}
183
+ {{- '<|think|>\n' -}}
184
+ {%- set ns.prev_message_type = 'think' -%}
185
+ {%- endif -%}
186
+ {%- if messages[0]['role'] in ['system', 'developer'] -%}
187
+ {%- if messages[0]['content'] is string -%}
188
+ {{- messages[0]['content'] | trim -}}
189
+ {%- elif messages[0]['content'] is sequence -%}
190
+ {%- for item in messages[0]['content'] -%}
191
+ {{- item['text'] | trim + ' '-}}
192
+ {%- endfor -%}
193
+ {%- endif -%}
194
+ {%- set loop_messages = messages[1:] -%}
195
+ {%- endif -%}
196
+ {%- if tools -%}
197
+ {%- for tool in tools %}
198
+ {{- '<|tool>' -}}
199
+ {{- format_function_declaration(tool) | trim -}}
200
+ {{- '<tool|>' -}}
201
+ {%- endfor %}
202
+ {%- set ns.prev_message_type = 'tool' -%}
203
+ {%- endif -%}
204
+ {{- '<turn|>\n' -}}
205
+ {%- endif %}
206
+
207
+ {#- Pre-scan: find last user message index for reasoning guard -#}
208
+ {%- set ns_turn = namespace(last_user_idx=-1) -%}
209
+ {%- for i in range(loop_messages | length) -%}
210
+ {%- if loop_messages[i]['role'] == 'user' -%}
211
+ {%- set ns_turn.last_user_idx = i -%}
212
+ {%- endif -%}
213
+ {%- endfor -%}
214
+
215
+ {#- Loop through messages -#}
216
+ {%- for message in loop_messages -%}
217
+ {%- if message['role'] != 'tool' -%}
218
+ {%- set ns.prev_message_type = None -%}
219
+ {%- set role = 'model' if message['role'] == 'assistant' else message['role'] -%}
220
+ {#- Detect continuation: suppress duplicate <|turn>model when previous non-tool message was also assistant -#}
221
+ {%- set prev_nt = namespace(role=None, found=false) -%}
222
+ {%- if loop.index0 > 0 -%}
223
+ {%- for j in range(loop.index0 - 1, -1, -1) -%}
224
+ {%- if not prev_nt.found -%}
225
+ {%- if loop_messages[j]['role'] != 'tool' -%}
226
+ {%- set prev_nt.role = loop_messages[j]['role'] -%}
227
+ {%- set prev_nt.found = true -%}
228
+ {%- endif -%}
229
+ {%- endif -%}
230
+ {%- endfor -%}
231
+ {%- endif -%}
232
+ {%- set continue_same_model_turn = (role == 'model' and prev_nt.role == 'assistant') -%}
233
+ {%- if not continue_same_model_turn -%}
234
+ {{- '<|turn>' + role + '\n' }}
235
+ {%- endif -%}
236
+
237
+ {#- Render reasoning/reasoning_content as thinking channel -#}
238
+ {%- set thinking_text = message.get('reasoning') or message.get('reasoning_content') -%}
239
+ {%- if thinking_text and loop.index0 > ns_turn.last_user_idx and message.get('tool_calls') -%}
240
+ {{- '<|channel>thought\n' + thinking_text + '\n<channel|>' -}}
241
+ {%- endif -%}
242
+
243
+ {%- if message['tool_calls'] -%}
244
+ {%- for tool_call in message['tool_calls'] -%}
245
+ {%- set function = tool_call['function'] -%}
246
+ {{- '<|tool_call>call:' + function['name'] + '{' -}}
247
+ {%- if function['arguments'] is mapping -%}
248
+ {%- set ns_args = namespace(found_first=false) -%}
249
+ {%- for key, value in function['arguments'] | dictsort -%}
250
+ {%- if ns_args.found_first %},{% endif -%}
251
+ {%- set ns_args.found_first = true -%}
252
+ {{- key -}}:{{- format_argument(value, escape_keys=False) -}}
253
+ {%- endfor -%}
254
+ {%- elif function['arguments'] is string -%}
255
+ {{- function['arguments'] -}}
256
+ {%- endif -%}
257
+ {{- '}<tool_call|>' -}}
258
+ {%- endfor -%}
259
+ {%- set ns.prev_message_type = 'tool_call' -%}
260
+ {%- endif -%}
261
+
262
+ {%- set ns_tr_out = namespace(flag=false) -%}
263
+ {%- if message.get('tool_responses') -%}
264
+ {#- Legacy: tool_responses embedded on the assistant message (Google/Gemma native) -#}
265
+ {%- for tool_response in message['tool_responses'] -%}
266
+ {{- format_tool_response_block(tool_response['name'] | default('unknown'), tool_response['response']) -}}
267
+ {%- set ns_tr_out.flag = true -%}
268
+ {%- set ns.prev_message_type = 'tool_response' -%}
269
+ {%- endfor -%}
270
+ {%- elif message.get('tool_calls') -%}
271
+ {#- OpenAI Chat Completions: forward-scan consecutive role:tool messages -#}
272
+ {%- set ns_tool_scan = namespace(stopped=false) -%}
273
+ {%- for k in range(loop.index0 + 1, loop_messages | length) -%}
274
+ {%- if ns_tool_scan.stopped -%}
275
+ {%- elif loop_messages[k]['role'] != 'tool' -%}
276
+ {%- set ns_tool_scan.stopped = true -%}
277
+ {%- else -%}
278
+ {%- set follow = loop_messages[k] -%}
279
+ {#- Resolve tool_call_id to function name -#}
280
+ {%- set ns_tname = namespace(name=follow.get('name') | default('unknown')) -%}
281
+ {%- for tc in message['tool_calls'] -%}
282
+ {%- if tc.get('id') == follow.get('tool_call_id') -%}
283
+ {%- set ns_tname.name = tc['function']['name'] -%}
284
+ {%- endif -%}
285
+ {%- endfor -%}
286
+ {#- Handle content as string or content-parts array -#}
287
+ {%- set tool_body = follow.get('content') -%}
288
+ {%- if tool_body is string -%}
289
+ {{- format_tool_response_block(ns_tname.name, tool_body) -}}
290
+ {%- elif tool_body is sequence and tool_body is not string -%}
291
+ {%- set ns_txt = namespace(s='') -%}
292
+ {%- for part in tool_body -%}
293
+ {%- if part.get('type') == 'text' -%}
294
+ {%- set ns_txt.s = ns_txt.s + (part.get('text') | default('')) -%}
295
+ {%- endif -%}
296
+ {%- endfor -%}
297
+ {{- format_tool_response_block(ns_tname.name, ns_txt.s) -}}
298
+ {%- for part in tool_body -%}
299
+ {%- if part.get('type') == 'image' -%}
300
+ {{- '<|image|>' -}}
301
+ {%- elif part.get('type') == 'audio' -%}
302
+ {{- '<|audio|>' -}}
303
+ {%- elif part.get('type') == 'video' -%}
304
+ {{- '<|video|>' -}}
305
+ {%- endif -%}
306
+ {%- endfor -%}
307
+ {%- else -%}
308
+ {{- format_tool_response_block(ns_tname.name, tool_body) -}}
309
+ {%- endif -%}
310
+ {%- set ns_tr_out.flag = true -%}
311
+ {%- set ns.prev_message_type = 'tool_response' -%}
312
+ {%- endif -%}
313
+ {%- endfor -%}
314
+ {%- endif -%}
315
+
316
+ {%- set captured_content -%}
317
+ {%- if message['content'] is string -%}
318
+ {%- if role == 'model' -%}
319
+ {{- strip_thinking(message['content']) -}}
320
+ {%- else -%}
321
+ {{- message['content'] | trim -}}
322
+ {%- endif -%}
323
+ {%- elif message['content'] is sequence -%}
324
+ {%- for item in message['content'] -%}
325
+ {%- if item['type'] == 'text' -%}
326
+ {%- if role == 'model' -%}
327
+ {{- strip_thinking(item['text']) -}}
328
+ {%- else -%}
329
+ {{- item['text'] | trim -}}
330
+ {%- endif -%}
331
+ {%- elif item['type'] == 'image' -%}
332
+ {{- '<|image|>' -}}
333
+ {%- set ns.prev_message_type = 'image' -%}
334
+ {%- elif item['type'] == 'audio' -%}
335
+ {{- '<|audio|>' -}}
336
+ {%- set ns.prev_message_type = 'audio' -%}
337
+ {%- elif item['type'] == 'video' -%}
338
+ {{- '<|video|>' -}}
339
+ {%- set ns.prev_message_type = 'video' -%}
340
+ {%- endif -%}
341
+ {%- endfor -%}
342
+ {%- endif -%}
343
+ {%- endset -%}
344
+
345
+ {{- captured_content -}}
346
+ {%- set has_content = captured_content | trim | length > 0 -%}
347
+
348
+ {%- if ns.prev_message_type == 'tool_call' and not ns_tr_out.flag -%}
349
+ {{- '<|tool_response>' -}}
350
+ {%- elif not (ns_tr_out.flag and not has_content) -%}
351
+ {{- '<turn|>\n' -}}
352
+ {%- endif -%}
353
+ {%- endif -%}
354
+ {%- endfor -%}
355
+
356
+ {%- if add_generation_prompt -%}
357
+ {%- if ns.prev_message_type != 'tool_response' and ns.prev_message_type != 'tool_call' -%}
358
+ {{- '<|turn>model\n' -}}
359
+ {%- endif -%}
360
+ {%- endif -%}
config.json ADDED
@@ -0,0 +1,2564 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "DiffusionGemmaForBlockDiffusion"
4
+ ],
5
+ "boi_token_id": 255999,
6
+ "canvas_length": 256,
7
+ "dtype": "bfloat16",
8
+ "eoi_token_id": 258882,
9
+ "eos_token_id": [
10
+ 1,
11
+ 106,
12
+ 50
13
+ ],
14
+ "generation_config": {
15
+ "confidence_threshold": 0.005,
16
+ "eos_token_id": [
17
+ 1,
18
+ 106,
19
+ 50
20
+ ],
21
+ "max_denoising_steps": 48,
22
+ "max_new_tokens": 256,
23
+ "pad_token_id": 0,
24
+ "sampler_config": {
25
+ "_cls_name": "EntropyBoundSamplerConfig",
26
+ "entropy_bound": 0.1
27
+ },
28
+ "stability_threshold": 1,
29
+ "t_max": 0.8,
30
+ "t_min": 0.4,
31
+ "transformers_version": "5.11.0"
32
+ },
33
+ "image_token_id": 258880,
34
+ "initializer_range": 0.02,
35
+ "model_type": "diffusion_gemma",
36
+ "quantization": {
37
+ "group_size": 64,
38
+ "bits": 4,
39
+ "mode": "affine",
40
+ "model.decoder.embed_tokens": {
41
+ "group_size": 64,
42
+ "bits": 8
43
+ },
44
+ "model.decoder.layers.0.self_attn.q_proj": {
45
+ "group_size": 64,
46
+ "bits": 4
47
+ },
48
+ "model.decoder.layers.0.self_attn.k_proj": {
49
+ "group_size": 64,
50
+ "bits": 4
51
+ },
52
+ "model.decoder.layers.0.self_attn.v_proj": {
53
+ "group_size": 64,
54
+ "bits": 8
55
+ },
56
+ "model.decoder.layers.0.self_attn.o_proj": {
57
+ "group_size": 64,
58
+ "bits": 4
59
+ },
60
+ "model.decoder.layers.0.mlp.gate_proj": {
61
+ "group_size": 64,
62
+ "bits": 4
63
+ },
64
+ "model.decoder.layers.0.mlp.up_proj": {
65
+ "group_size": 64,
66
+ "bits": 4
67
+ },
68
+ "model.decoder.layers.0.mlp.down_proj": {
69
+ "group_size": 64,
70
+ "bits": 8
71
+ },
72
+ "model.decoder.layers.0.router.proj": {
73
+ "group_size": 64,
74
+ "bits": 4
75
+ },
76
+ "model.decoder.layers.0.experts.gate_up_proj": {
77
+ "group_size": 64,
78
+ "bits": 4
79
+ },
80
+ "model.decoder.layers.0.experts.down_proj": {
81
+ "group_size": 64,
82
+ "bits": 8
83
+ },
84
+ "model.decoder.layers.1.self_attn.q_proj": {
85
+ "group_size": 64,
86
+ "bits": 4
87
+ },
88
+ "model.decoder.layers.1.self_attn.k_proj": {
89
+ "group_size": 64,
90
+ "bits": 4
91
+ },
92
+ "model.decoder.layers.1.self_attn.v_proj": {
93
+ "group_size": 64,
94
+ "bits": 8
95
+ },
96
+ "model.decoder.layers.1.self_attn.o_proj": {
97
+ "group_size": 64,
98
+ "bits": 4
99
+ },
100
+ "model.decoder.layers.1.mlp.gate_proj": {
101
+ "group_size": 64,
102
+ "bits": 4
103
+ },
104
+ "model.decoder.layers.1.mlp.up_proj": {
105
+ "group_size": 64,
106
+ "bits": 4
107
+ },
108
+ "model.decoder.layers.1.mlp.down_proj": {
109
+ "group_size": 64,
110
+ "bits": 8
111
+ },
112
+ "model.decoder.layers.1.router.proj": {
113
+ "group_size": 64,
114
+ "bits": 4
115
+ },
116
+ "model.decoder.layers.1.experts.gate_up_proj": {
117
+ "group_size": 64,
118
+ "bits": 4
119
+ },
120
+ "model.decoder.layers.1.experts.down_proj": {
121
+ "group_size": 64,
122
+ "bits": 8
123
+ },
124
+ "model.decoder.layers.2.self_attn.q_proj": {
125
+ "group_size": 64,
126
+ "bits": 4
127
+ },
128
+ "model.decoder.layers.2.self_attn.k_proj": {
129
+ "group_size": 64,
130
+ "bits": 4
131
+ },
132
+ "model.decoder.layers.2.self_attn.v_proj": {
133
+ "group_size": 64,
134
+ "bits": 8
135
+ },
136
+ "model.decoder.layers.2.self_attn.o_proj": {
137
+ "group_size": 64,
138
+ "bits": 4
139
+ },
140
+ "model.decoder.layers.2.mlp.gate_proj": {
141
+ "group_size": 64,
142
+ "bits": 4
143
+ },
144
+ "model.decoder.layers.2.mlp.up_proj": {
145
+ "group_size": 64,
146
+ "bits": 4
147
+ },
148
+ "model.decoder.layers.2.mlp.down_proj": {
149
+ "group_size": 64,
150
+ "bits": 8
151
+ },
152
+ "model.decoder.layers.2.router.proj": {
153
+ "group_size": 64,
154
+ "bits": 4
155
+ },
156
+ "model.decoder.layers.2.experts.gate_up_proj": {
157
+ "group_size": 64,
158
+ "bits": 4
159
+ },
160
+ "model.decoder.layers.2.experts.down_proj": {
161
+ "group_size": 64,
162
+ "bits": 8
163
+ },
164
+ "model.decoder.layers.3.self_attn.q_proj": {
165
+ "group_size": 64,
166
+ "bits": 4
167
+ },
168
+ "model.decoder.layers.3.self_attn.k_proj": {
169
+ "group_size": 64,
170
+ "bits": 4
171
+ },
172
+ "model.decoder.layers.3.self_attn.v_proj": {
173
+ "group_size": 64,
174
+ "bits": 8
175
+ },
176
+ "model.decoder.layers.3.self_attn.o_proj": {
177
+ "group_size": 64,
178
+ "bits": 4
179
+ },
180
+ "model.decoder.layers.3.mlp.gate_proj": {
181
+ "group_size": 64,
182
+ "bits": 4
183
+ },
184
+ "model.decoder.layers.3.mlp.up_proj": {
185
+ "group_size": 64,
186
+ "bits": 4
187
+ },
188
+ "model.decoder.layers.3.mlp.down_proj": {
189
+ "group_size": 64,
190
+ "bits": 8
191
+ },
192
+ "model.decoder.layers.3.router.proj": {
193
+ "group_size": 64,
194
+ "bits": 4
195
+ },
196
+ "model.decoder.layers.3.experts.gate_up_proj": {
197
+ "group_size": 64,
198
+ "bits": 4
199
+ },
200
+ "model.decoder.layers.3.experts.down_proj": {
201
+ "group_size": 64,
202
+ "bits": 8
203
+ },
204
+ "model.decoder.layers.4.self_attn.q_proj": {
205
+ "group_size": 64,
206
+ "bits": 4
207
+ },
208
+ "model.decoder.layers.4.self_attn.k_proj": {
209
+ "group_size": 64,
210
+ "bits": 4
211
+ },
212
+ "model.decoder.layers.4.self_attn.v_proj": {
213
+ "group_size": 64,
214
+ "bits": 8
215
+ },
216
+ "model.decoder.layers.4.self_attn.o_proj": {
217
+ "group_size": 64,
218
+ "bits": 4
219
+ },
220
+ "model.decoder.layers.4.mlp.gate_proj": {
221
+ "group_size": 64,
222
+ "bits": 4
223
+ },
224
+ "model.decoder.layers.4.mlp.up_proj": {
225
+ "group_size": 64,
226
+ "bits": 4
227
+ },
228
+ "model.decoder.layers.4.mlp.down_proj": {
229
+ "group_size": 64,
230
+ "bits": 8
231
+ },
232
+ "model.decoder.layers.4.router.proj": {
233
+ "group_size": 64,
234
+ "bits": 4
235
+ },
236
+ "model.decoder.layers.4.experts.gate_up_proj": {
237
+ "group_size": 64,
238
+ "bits": 4
239
+ },
240
+ "model.decoder.layers.4.experts.down_proj": {
241
+ "group_size": 64,
242
+ "bits": 8
243
+ },
244
+ "model.decoder.layers.5.self_attn.q_proj": {
245
+ "group_size": 64,
246
+ "bits": 4
247
+ },
248
+ "model.decoder.layers.5.self_attn.k_proj": {
249
+ "group_size": 64,
250
+ "bits": 4
251
+ },
252
+ "model.decoder.layers.5.self_attn.o_proj": {
253
+ "group_size": 64,
254
+ "bits": 4
255
+ },
256
+ "model.decoder.layers.5.mlp.gate_proj": {
257
+ "group_size": 64,
258
+ "bits": 4
259
+ },
260
+ "model.decoder.layers.5.mlp.up_proj": {
261
+ "group_size": 64,
262
+ "bits": 4
263
+ },
264
+ "model.decoder.layers.5.mlp.down_proj": {
265
+ "group_size": 64,
266
+ "bits": 8
267
+ },
268
+ "model.decoder.layers.5.router.proj": {
269
+ "group_size": 64,
270
+ "bits": 4
271
+ },
272
+ "model.decoder.layers.5.experts.gate_up_proj": {
273
+ "group_size": 64,
274
+ "bits": 4
275
+ },
276
+ "model.decoder.layers.5.experts.down_proj": {
277
+ "group_size": 64,
278
+ "bits": 8
279
+ },
280
+ "model.decoder.layers.6.self_attn.q_proj": {
281
+ "group_size": 64,
282
+ "bits": 4
283
+ },
284
+ "model.decoder.layers.6.self_attn.k_proj": {
285
+ "group_size": 64,
286
+ "bits": 4
287
+ },
288
+ "model.decoder.layers.6.self_attn.v_proj": {
289
+ "group_size": 64,
290
+ "bits": 8
291
+ },
292
+ "model.decoder.layers.6.self_attn.o_proj": {
293
+ "group_size": 64,
294
+ "bits": 4
295
+ },
296
+ "model.decoder.layers.6.mlp.gate_proj": {
297
+ "group_size": 64,
298
+ "bits": 4
299
+ },
300
+ "model.decoder.layers.6.mlp.up_proj": {
301
+ "group_size": 64,
302
+ "bits": 4
303
+ },
304
+ "model.decoder.layers.6.mlp.down_proj": {
305
+ "group_size": 64,
306
+ "bits": 8
307
+ },
308
+ "model.decoder.layers.6.router.proj": {
309
+ "group_size": 64,
310
+ "bits": 4
311
+ },
312
+ "model.decoder.layers.6.experts.gate_up_proj": {
313
+ "group_size": 64,
314
+ "bits": 4
315
+ },
316
+ "model.decoder.layers.6.experts.down_proj": {
317
+ "group_size": 64,
318
+ "bits": 8
319
+ },
320
+ "model.decoder.layers.7.self_attn.q_proj": {
321
+ "group_size": 64,
322
+ "bits": 4
323
+ },
324
+ "model.decoder.layers.7.self_attn.k_proj": {
325
+ "group_size": 64,
326
+ "bits": 4
327
+ },
328
+ "model.decoder.layers.7.self_attn.v_proj": {
329
+ "group_size": 64,
330
+ "bits": 8
331
+ },
332
+ "model.decoder.layers.7.self_attn.o_proj": {
333
+ "group_size": 64,
334
+ "bits": 4
335
+ },
336
+ "model.decoder.layers.7.mlp.gate_proj": {
337
+ "group_size": 64,
338
+ "bits": 4
339
+ },
340
+ "model.decoder.layers.7.mlp.up_proj": {
341
+ "group_size": 64,
342
+ "bits": 4
343
+ },
344
+ "model.decoder.layers.7.mlp.down_proj": {
345
+ "group_size": 64,
346
+ "bits": 8
347
+ },
348
+ "model.decoder.layers.7.router.proj": {
349
+ "group_size": 64,
350
+ "bits": 4
351
+ },
352
+ "model.decoder.layers.7.experts.gate_up_proj": {
353
+ "group_size": 64,
354
+ "bits": 4
355
+ },
356
+ "model.decoder.layers.7.experts.down_proj": {
357
+ "group_size": 64,
358
+ "bits": 8
359
+ },
360
+ "model.decoder.layers.8.self_attn.q_proj": {
361
+ "group_size": 64,
362
+ "bits": 4
363
+ },
364
+ "model.decoder.layers.8.self_attn.k_proj": {
365
+ "group_size": 64,
366
+ "bits": 4
367
+ },
368
+ "model.decoder.layers.8.self_attn.v_proj": {
369
+ "group_size": 64,
370
+ "bits": 8
371
+ },
372
+ "model.decoder.layers.8.self_attn.o_proj": {
373
+ "group_size": 64,
374
+ "bits": 4
375
+ },
376
+ "model.decoder.layers.8.mlp.gate_proj": {
377
+ "group_size": 64,
378
+ "bits": 4
379
+ },
380
+ "model.decoder.layers.8.mlp.up_proj": {
381
+ "group_size": 64,
382
+ "bits": 4
383
+ },
384
+ "model.decoder.layers.8.mlp.down_proj": {
385
+ "group_size": 64,
386
+ "bits": 8
387
+ },
388
+ "model.decoder.layers.8.router.proj": {
389
+ "group_size": 64,
390
+ "bits": 4
391
+ },
392
+ "model.decoder.layers.8.experts.gate_up_proj": {
393
+ "group_size": 64,
394
+ "bits": 4
395
+ },
396
+ "model.decoder.layers.8.experts.down_proj": {
397
+ "group_size": 64,
398
+ "bits": 8
399
+ },
400
+ "model.decoder.layers.9.self_attn.q_proj": {
401
+ "group_size": 64,
402
+ "bits": 4
403
+ },
404
+ "model.decoder.layers.9.self_attn.k_proj": {
405
+ "group_size": 64,
406
+ "bits": 4
407
+ },
408
+ "model.decoder.layers.9.self_attn.v_proj": {
409
+ "group_size": 64,
410
+ "bits": 8
411
+ },
412
+ "model.decoder.layers.9.self_attn.o_proj": {
413
+ "group_size": 64,
414
+ "bits": 4
415
+ },
416
+ "model.decoder.layers.9.mlp.gate_proj": {
417
+ "group_size": 64,
418
+ "bits": 4
419
+ },
420
+ "model.decoder.layers.9.mlp.up_proj": {
421
+ "group_size": 64,
422
+ "bits": 4
423
+ },
424
+ "model.decoder.layers.9.mlp.down_proj": {
425
+ "group_size": 64,
426
+ "bits": 8
427
+ },
428
+ "model.decoder.layers.9.router.proj": {
429
+ "group_size": 64,
430
+ "bits": 4
431
+ },
432
+ "model.decoder.layers.9.experts.gate_up_proj": {
433
+ "group_size": 64,
434
+ "bits": 4
435
+ },
436
+ "model.decoder.layers.9.experts.down_proj": {
437
+ "group_size": 64,
438
+ "bits": 8
439
+ },
440
+ "model.decoder.layers.10.self_attn.q_proj": {
441
+ "group_size": 64,
442
+ "bits": 4
443
+ },
444
+ "model.decoder.layers.10.self_attn.k_proj": {
445
+ "group_size": 64,
446
+ "bits": 4
447
+ },
448
+ "model.decoder.layers.10.self_attn.v_proj": {
449
+ "group_size": 64,
450
+ "bits": 8
451
+ },
452
+ "model.decoder.layers.10.self_attn.o_proj": {
453
+ "group_size": 64,
454
+ "bits": 4
455
+ },
456
+ "model.decoder.layers.10.mlp.gate_proj": {
457
+ "group_size": 64,
458
+ "bits": 4
459
+ },
460
+ "model.decoder.layers.10.mlp.up_proj": {
461
+ "group_size": 64,
462
+ "bits": 4
463
+ },
464
+ "model.decoder.layers.10.mlp.down_proj": {
465
+ "group_size": 64,
466
+ "bits": 8
467
+ },
468
+ "model.decoder.layers.10.router.proj": {
469
+ "group_size": 64,
470
+ "bits": 4
471
+ },
472
+ "model.decoder.layers.10.experts.gate_up_proj": {
473
+ "group_size": 64,
474
+ "bits": 4
475
+ },
476
+ "model.decoder.layers.10.experts.down_proj": {
477
+ "group_size": 64,
478
+ "bits": 8
479
+ },
480
+ "model.decoder.layers.11.self_attn.q_proj": {
481
+ "group_size": 64,
482
+ "bits": 4
483
+ },
484
+ "model.decoder.layers.11.self_attn.k_proj": {
485
+ "group_size": 64,
486
+ "bits": 4
487
+ },
488
+ "model.decoder.layers.11.self_attn.o_proj": {
489
+ "group_size": 64,
490
+ "bits": 4
491
+ },
492
+ "model.decoder.layers.11.mlp.gate_proj": {
493
+ "group_size": 64,
494
+ "bits": 4
495
+ },
496
+ "model.decoder.layers.11.mlp.up_proj": {
497
+ "group_size": 64,
498
+ "bits": 4
499
+ },
500
+ "model.decoder.layers.11.mlp.down_proj": {
501
+ "group_size": 64,
502
+ "bits": 8
503
+ },
504
+ "model.decoder.layers.11.router.proj": {
505
+ "group_size": 64,
506
+ "bits": 4
507
+ },
508
+ "model.decoder.layers.11.experts.gate_up_proj": {
509
+ "group_size": 64,
510
+ "bits": 4
511
+ },
512
+ "model.decoder.layers.11.experts.down_proj": {
513
+ "group_size": 64,
514
+ "bits": 8
515
+ },
516
+ "model.decoder.layers.12.self_attn.q_proj": {
517
+ "group_size": 64,
518
+ "bits": 4
519
+ },
520
+ "model.decoder.layers.12.self_attn.k_proj": {
521
+ "group_size": 64,
522
+ "bits": 4
523
+ },
524
+ "model.decoder.layers.12.self_attn.v_proj": {
525
+ "group_size": 64,
526
+ "bits": 8
527
+ },
528
+ "model.decoder.layers.12.self_attn.o_proj": {
529
+ "group_size": 64,
530
+ "bits": 4
531
+ },
532
+ "model.decoder.layers.12.mlp.gate_proj": {
533
+ "group_size": 64,
534
+ "bits": 4
535
+ },
536
+ "model.decoder.layers.12.mlp.up_proj": {
537
+ "group_size": 64,
538
+ "bits": 4
539
+ },
540
+ "model.decoder.layers.12.mlp.down_proj": {
541
+ "group_size": 64,
542
+ "bits": 8
543
+ },
544
+ "model.decoder.layers.12.router.proj": {
545
+ "group_size": 64,
546
+ "bits": 4
547
+ },
548
+ "model.decoder.layers.12.experts.gate_up_proj": {
549
+ "group_size": 64,
550
+ "bits": 4
551
+ },
552
+ "model.decoder.layers.12.experts.down_proj": {
553
+ "group_size": 64,
554
+ "bits": 8
555
+ },
556
+ "model.decoder.layers.13.self_attn.q_proj": {
557
+ "group_size": 64,
558
+ "bits": 4
559
+ },
560
+ "model.decoder.layers.13.self_attn.k_proj": {
561
+ "group_size": 64,
562
+ "bits": 4
563
+ },
564
+ "model.decoder.layers.13.self_attn.v_proj": {
565
+ "group_size": 64,
566
+ "bits": 8
567
+ },
568
+ "model.decoder.layers.13.self_attn.o_proj": {
569
+ "group_size": 64,
570
+ "bits": 4
571
+ },
572
+ "model.decoder.layers.13.mlp.gate_proj": {
573
+ "group_size": 64,
574
+ "bits": 4
575
+ },
576
+ "model.decoder.layers.13.mlp.up_proj": {
577
+ "group_size": 64,
578
+ "bits": 4
579
+ },
580
+ "model.decoder.layers.13.mlp.down_proj": {
581
+ "group_size": 64,
582
+ "bits": 8
583
+ },
584
+ "model.decoder.layers.13.router.proj": {
585
+ "group_size": 64,
586
+ "bits": 4
587
+ },
588
+ "model.decoder.layers.13.experts.gate_up_proj": {
589
+ "group_size": 64,
590
+ "bits": 4
591
+ },
592
+ "model.decoder.layers.13.experts.down_proj": {
593
+ "group_size": 64,
594
+ "bits": 8
595
+ },
596
+ "model.decoder.layers.14.self_attn.q_proj": {
597
+ "group_size": 64,
598
+ "bits": 4
599
+ },
600
+ "model.decoder.layers.14.self_attn.k_proj": {
601
+ "group_size": 64,
602
+ "bits": 4
603
+ },
604
+ "model.decoder.layers.14.self_attn.v_proj": {
605
+ "group_size": 64,
606
+ "bits": 8
607
+ },
608
+ "model.decoder.layers.14.self_attn.o_proj": {
609
+ "group_size": 64,
610
+ "bits": 4
611
+ },
612
+ "model.decoder.layers.14.mlp.gate_proj": {
613
+ "group_size": 64,
614
+ "bits": 4
615
+ },
616
+ "model.decoder.layers.14.mlp.up_proj": {
617
+ "group_size": 64,
618
+ "bits": 4
619
+ },
620
+ "model.decoder.layers.14.mlp.down_proj": {
621
+ "group_size": 64,
622
+ "bits": 8
623
+ },
624
+ "model.decoder.layers.14.router.proj": {
625
+ "group_size": 64,
626
+ "bits": 4
627
+ },
628
+ "model.decoder.layers.14.experts.gate_up_proj": {
629
+ "group_size": 64,
630
+ "bits": 4
631
+ },
632
+ "model.decoder.layers.14.experts.down_proj": {
633
+ "group_size": 64,
634
+ "bits": 8
635
+ },
636
+ "model.decoder.layers.15.self_attn.q_proj": {
637
+ "group_size": 64,
638
+ "bits": 4
639
+ },
640
+ "model.decoder.layers.15.self_attn.k_proj": {
641
+ "group_size": 64,
642
+ "bits": 4
643
+ },
644
+ "model.decoder.layers.15.self_attn.v_proj": {
645
+ "group_size": 64,
646
+ "bits": 8
647
+ },
648
+ "model.decoder.layers.15.self_attn.o_proj": {
649
+ "group_size": 64,
650
+ "bits": 4
651
+ },
652
+ "model.decoder.layers.15.mlp.gate_proj": {
653
+ "group_size": 64,
654
+ "bits": 4
655
+ },
656
+ "model.decoder.layers.15.mlp.up_proj": {
657
+ "group_size": 64,
658
+ "bits": 4
659
+ },
660
+ "model.decoder.layers.15.mlp.down_proj": {
661
+ "group_size": 64,
662
+ "bits": 8
663
+ },
664
+ "model.decoder.layers.15.router.proj": {
665
+ "group_size": 64,
666
+ "bits": 4
667
+ },
668
+ "model.decoder.layers.15.experts.gate_up_proj": {
669
+ "group_size": 64,
670
+ "bits": 4
671
+ },
672
+ "model.decoder.layers.15.experts.down_proj": {
673
+ "group_size": 64,
674
+ "bits": 8
675
+ },
676
+ "model.decoder.layers.16.self_attn.q_proj": {
677
+ "group_size": 64,
678
+ "bits": 4
679
+ },
680
+ "model.decoder.layers.16.self_attn.k_proj": {
681
+ "group_size": 64,
682
+ "bits": 4
683
+ },
684
+ "model.decoder.layers.16.self_attn.v_proj": {
685
+ "group_size": 64,
686
+ "bits": 8
687
+ },
688
+ "model.decoder.layers.16.self_attn.o_proj": {
689
+ "group_size": 64,
690
+ "bits": 4
691
+ },
692
+ "model.decoder.layers.16.mlp.gate_proj": {
693
+ "group_size": 64,
694
+ "bits": 4
695
+ },
696
+ "model.decoder.layers.16.mlp.up_proj": {
697
+ "group_size": 64,
698
+ "bits": 4
699
+ },
700
+ "model.decoder.layers.16.mlp.down_proj": {
701
+ "group_size": 64,
702
+ "bits": 8
703
+ },
704
+ "model.decoder.layers.16.router.proj": {
705
+ "group_size": 64,
706
+ "bits": 4
707
+ },
708
+ "model.decoder.layers.16.experts.gate_up_proj": {
709
+ "group_size": 64,
710
+ "bits": 4
711
+ },
712
+ "model.decoder.layers.16.experts.down_proj": {
713
+ "group_size": 64,
714
+ "bits": 8
715
+ },
716
+ "model.decoder.layers.17.self_attn.q_proj": {
717
+ "group_size": 64,
718
+ "bits": 4
719
+ },
720
+ "model.decoder.layers.17.self_attn.k_proj": {
721
+ "group_size": 64,
722
+ "bits": 4
723
+ },
724
+ "model.decoder.layers.17.self_attn.o_proj": {
725
+ "group_size": 64,
726
+ "bits": 4
727
+ },
728
+ "model.decoder.layers.17.mlp.gate_proj": {
729
+ "group_size": 64,
730
+ "bits": 4
731
+ },
732
+ "model.decoder.layers.17.mlp.up_proj": {
733
+ "group_size": 64,
734
+ "bits": 4
735
+ },
736
+ "model.decoder.layers.17.mlp.down_proj": {
737
+ "group_size": 64,
738
+ "bits": 8
739
+ },
740
+ "model.decoder.layers.17.router.proj": {
741
+ "group_size": 64,
742
+ "bits": 4
743
+ },
744
+ "model.decoder.layers.17.experts.gate_up_proj": {
745
+ "group_size": 64,
746
+ "bits": 4
747
+ },
748
+ "model.decoder.layers.17.experts.down_proj": {
749
+ "group_size": 64,
750
+ "bits": 8
751
+ },
752
+ "model.decoder.layers.18.self_attn.q_proj": {
753
+ "group_size": 64,
754
+ "bits": 4
755
+ },
756
+ "model.decoder.layers.18.self_attn.k_proj": {
757
+ "group_size": 64,
758
+ "bits": 4
759
+ },
760
+ "model.decoder.layers.18.self_attn.v_proj": {
761
+ "group_size": 64,
762
+ "bits": 8
763
+ },
764
+ "model.decoder.layers.18.self_attn.o_proj": {
765
+ "group_size": 64,
766
+ "bits": 4
767
+ },
768
+ "model.decoder.layers.18.mlp.gate_proj": {
769
+ "group_size": 64,
770
+ "bits": 4
771
+ },
772
+ "model.decoder.layers.18.mlp.up_proj": {
773
+ "group_size": 64,
774
+ "bits": 4
775
+ },
776
+ "model.decoder.layers.18.mlp.down_proj": {
777
+ "group_size": 64,
778
+ "bits": 8
779
+ },
780
+ "model.decoder.layers.18.router.proj": {
781
+ "group_size": 64,
782
+ "bits": 4
783
+ },
784
+ "model.decoder.layers.18.experts.gate_up_proj": {
785
+ "group_size": 64,
786
+ "bits": 4
787
+ },
788
+ "model.decoder.layers.18.experts.down_proj": {
789
+ "group_size": 64,
790
+ "bits": 8
791
+ },
792
+ "model.decoder.layers.19.self_attn.q_proj": {
793
+ "group_size": 64,
794
+ "bits": 4
795
+ },
796
+ "model.decoder.layers.19.self_attn.k_proj": {
797
+ "group_size": 64,
798
+ "bits": 4
799
+ },
800
+ "model.decoder.layers.19.self_attn.v_proj": {
801
+ "group_size": 64,
802
+ "bits": 8
803
+ },
804
+ "model.decoder.layers.19.self_attn.o_proj": {
805
+ "group_size": 64,
806
+ "bits": 4
807
+ },
808
+ "model.decoder.layers.19.mlp.gate_proj": {
809
+ "group_size": 64,
810
+ "bits": 4
811
+ },
812
+ "model.decoder.layers.19.mlp.up_proj": {
813
+ "group_size": 64,
814
+ "bits": 4
815
+ },
816
+ "model.decoder.layers.19.mlp.down_proj": {
817
+ "group_size": 64,
818
+ "bits": 8
819
+ },
820
+ "model.decoder.layers.19.router.proj": {
821
+ "group_size": 64,
822
+ "bits": 4
823
+ },
824
+ "model.decoder.layers.19.experts.gate_up_proj": {
825
+ "group_size": 64,
826
+ "bits": 4
827
+ },
828
+ "model.decoder.layers.19.experts.down_proj": {
829
+ "group_size": 64,
830
+ "bits": 8
831
+ },
832
+ "model.decoder.layers.20.self_attn.q_proj": {
833
+ "group_size": 64,
834
+ "bits": 4
835
+ },
836
+ "model.decoder.layers.20.self_attn.k_proj": {
837
+ "group_size": 64,
838
+ "bits": 4
839
+ },
840
+ "model.decoder.layers.20.self_attn.v_proj": {
841
+ "group_size": 64,
842
+ "bits": 8
843
+ },
844
+ "model.decoder.layers.20.self_attn.o_proj": {
845
+ "group_size": 64,
846
+ "bits": 4
847
+ },
848
+ "model.decoder.layers.20.mlp.gate_proj": {
849
+ "group_size": 64,
850
+ "bits": 4
851
+ },
852
+ "model.decoder.layers.20.mlp.up_proj": {
853
+ "group_size": 64,
854
+ "bits": 4
855
+ },
856
+ "model.decoder.layers.20.mlp.down_proj": {
857
+ "group_size": 64,
858
+ "bits": 8
859
+ },
860
+ "model.decoder.layers.20.router.proj": {
861
+ "group_size": 64,
862
+ "bits": 4
863
+ },
864
+ "model.decoder.layers.20.experts.gate_up_proj": {
865
+ "group_size": 64,
866
+ "bits": 4
867
+ },
868
+ "model.decoder.layers.20.experts.down_proj": {
869
+ "group_size": 64,
870
+ "bits": 8
871
+ },
872
+ "model.decoder.layers.21.self_attn.q_proj": {
873
+ "group_size": 64,
874
+ "bits": 4
875
+ },
876
+ "model.decoder.layers.21.self_attn.k_proj": {
877
+ "group_size": 64,
878
+ "bits": 4
879
+ },
880
+ "model.decoder.layers.21.self_attn.v_proj": {
881
+ "group_size": 64,
882
+ "bits": 8
883
+ },
884
+ "model.decoder.layers.21.self_attn.o_proj": {
885
+ "group_size": 64,
886
+ "bits": 4
887
+ },
888
+ "model.decoder.layers.21.mlp.gate_proj": {
889
+ "group_size": 64,
890
+ "bits": 4
891
+ },
892
+ "model.decoder.layers.21.mlp.up_proj": {
893
+ "group_size": 64,
894
+ "bits": 4
895
+ },
896
+ "model.decoder.layers.21.mlp.down_proj": {
897
+ "group_size": 64,
898
+ "bits": 8
899
+ },
900
+ "model.decoder.layers.21.router.proj": {
901
+ "group_size": 64,
902
+ "bits": 4
903
+ },
904
+ "model.decoder.layers.21.experts.gate_up_proj": {
905
+ "group_size": 64,
906
+ "bits": 4
907
+ },
908
+ "model.decoder.layers.21.experts.down_proj": {
909
+ "group_size": 64,
910
+ "bits": 8
911
+ },
912
+ "model.decoder.layers.22.self_attn.q_proj": {
913
+ "group_size": 64,
914
+ "bits": 4
915
+ },
916
+ "model.decoder.layers.22.self_attn.k_proj": {
917
+ "group_size": 64,
918
+ "bits": 4
919
+ },
920
+ "model.decoder.layers.22.self_attn.v_proj": {
921
+ "group_size": 64,
922
+ "bits": 8
923
+ },
924
+ "model.decoder.layers.22.self_attn.o_proj": {
925
+ "group_size": 64,
926
+ "bits": 4
927
+ },
928
+ "model.decoder.layers.22.mlp.gate_proj": {
929
+ "group_size": 64,
930
+ "bits": 4
931
+ },
932
+ "model.decoder.layers.22.mlp.up_proj": {
933
+ "group_size": 64,
934
+ "bits": 4
935
+ },
936
+ "model.decoder.layers.22.mlp.down_proj": {
937
+ "group_size": 64,
938
+ "bits": 8
939
+ },
940
+ "model.decoder.layers.22.router.proj": {
941
+ "group_size": 64,
942
+ "bits": 4
943
+ },
944
+ "model.decoder.layers.22.experts.gate_up_proj": {
945
+ "group_size": 64,
946
+ "bits": 4
947
+ },
948
+ "model.decoder.layers.22.experts.down_proj": {
949
+ "group_size": 64,
950
+ "bits": 8
951
+ },
952
+ "model.decoder.layers.23.self_attn.q_proj": {
953
+ "group_size": 64,
954
+ "bits": 4
955
+ },
956
+ "model.decoder.layers.23.self_attn.k_proj": {
957
+ "group_size": 64,
958
+ "bits": 4
959
+ },
960
+ "model.decoder.layers.23.self_attn.o_proj": {
961
+ "group_size": 64,
962
+ "bits": 4
963
+ },
964
+ "model.decoder.layers.23.mlp.gate_proj": {
965
+ "group_size": 64,
966
+ "bits": 4
967
+ },
968
+ "model.decoder.layers.23.mlp.up_proj": {
969
+ "group_size": 64,
970
+ "bits": 4
971
+ },
972
+ "model.decoder.layers.23.mlp.down_proj": {
973
+ "group_size": 64,
974
+ "bits": 8
975
+ },
976
+ "model.decoder.layers.23.router.proj": {
977
+ "group_size": 64,
978
+ "bits": 4
979
+ },
980
+ "model.decoder.layers.23.experts.gate_up_proj": {
981
+ "group_size": 64,
982
+ "bits": 4
983
+ },
984
+ "model.decoder.layers.23.experts.down_proj": {
985
+ "group_size": 64,
986
+ "bits": 8
987
+ },
988
+ "model.decoder.layers.24.self_attn.q_proj": {
989
+ "group_size": 64,
990
+ "bits": 4
991
+ },
992
+ "model.decoder.layers.24.self_attn.k_proj": {
993
+ "group_size": 64,
994
+ "bits": 4
995
+ },
996
+ "model.decoder.layers.24.self_attn.v_proj": {
997
+ "group_size": 64,
998
+ "bits": 8
999
+ },
1000
+ "model.decoder.layers.24.self_attn.o_proj": {
1001
+ "group_size": 64,
1002
+ "bits": 4
1003
+ },
1004
+ "model.decoder.layers.24.mlp.gate_proj": {
1005
+ "group_size": 64,
1006
+ "bits": 4
1007
+ },
1008
+ "model.decoder.layers.24.mlp.up_proj": {
1009
+ "group_size": 64,
1010
+ "bits": 4
1011
+ },
1012
+ "model.decoder.layers.24.mlp.down_proj": {
1013
+ "group_size": 64,
1014
+ "bits": 8
1015
+ },
1016
+ "model.decoder.layers.24.router.proj": {
1017
+ "group_size": 64,
1018
+ "bits": 4
1019
+ },
1020
+ "model.decoder.layers.24.experts.gate_up_proj": {
1021
+ "group_size": 64,
1022
+ "bits": 4
1023
+ },
1024
+ "model.decoder.layers.24.experts.down_proj": {
1025
+ "group_size": 64,
1026
+ "bits": 8
1027
+ },
1028
+ "model.decoder.layers.25.self_attn.q_proj": {
1029
+ "group_size": 64,
1030
+ "bits": 4
1031
+ },
1032
+ "model.decoder.layers.25.self_attn.k_proj": {
1033
+ "group_size": 64,
1034
+ "bits": 4
1035
+ },
1036
+ "model.decoder.layers.25.self_attn.v_proj": {
1037
+ "group_size": 64,
1038
+ "bits": 8
1039
+ },
1040
+ "model.decoder.layers.25.self_attn.o_proj": {
1041
+ "group_size": 64,
1042
+ "bits": 4
1043
+ },
1044
+ "model.decoder.layers.25.mlp.gate_proj": {
1045
+ "group_size": 64,
1046
+ "bits": 4
1047
+ },
1048
+ "model.decoder.layers.25.mlp.up_proj": {
1049
+ "group_size": 64,
1050
+ "bits": 4
1051
+ },
1052
+ "model.decoder.layers.25.mlp.down_proj": {
1053
+ "group_size": 64,
1054
+ "bits": 8
1055
+ },
1056
+ "model.decoder.layers.25.router.proj": {
1057
+ "group_size": 64,
1058
+ "bits": 4
1059
+ },
1060
+ "model.decoder.layers.25.experts.gate_up_proj": {
1061
+ "group_size": 64,
1062
+ "bits": 4
1063
+ },
1064
+ "model.decoder.layers.25.experts.down_proj": {
1065
+ "group_size": 64,
1066
+ "bits": 8
1067
+ },
1068
+ "model.decoder.layers.26.self_attn.q_proj": {
1069
+ "group_size": 64,
1070
+ "bits": 4
1071
+ },
1072
+ "model.decoder.layers.26.self_attn.k_proj": {
1073
+ "group_size": 64,
1074
+ "bits": 4
1075
+ },
1076
+ "model.decoder.layers.26.self_attn.v_proj": {
1077
+ "group_size": 64,
1078
+ "bits": 8
1079
+ },
1080
+ "model.decoder.layers.26.self_attn.o_proj": {
1081
+ "group_size": 64,
1082
+ "bits": 4
1083
+ },
1084
+ "model.decoder.layers.26.mlp.gate_proj": {
1085
+ "group_size": 64,
1086
+ "bits": 4
1087
+ },
1088
+ "model.decoder.layers.26.mlp.up_proj": {
1089
+ "group_size": 64,
1090
+ "bits": 4
1091
+ },
1092
+ "model.decoder.layers.26.mlp.down_proj": {
1093
+ "group_size": 64,
1094
+ "bits": 8
1095
+ },
1096
+ "model.decoder.layers.26.router.proj": {
1097
+ "group_size": 64,
1098
+ "bits": 4
1099
+ },
1100
+ "model.decoder.layers.26.experts.gate_up_proj": {
1101
+ "group_size": 64,
1102
+ "bits": 4
1103
+ },
1104
+ "model.decoder.layers.26.experts.down_proj": {
1105
+ "group_size": 64,
1106
+ "bits": 8
1107
+ },
1108
+ "model.decoder.layers.27.self_attn.q_proj": {
1109
+ "group_size": 64,
1110
+ "bits": 4
1111
+ },
1112
+ "model.decoder.layers.27.self_attn.k_proj": {
1113
+ "group_size": 64,
1114
+ "bits": 4
1115
+ },
1116
+ "model.decoder.layers.27.self_attn.v_proj": {
1117
+ "group_size": 64,
1118
+ "bits": 8
1119
+ },
1120
+ "model.decoder.layers.27.self_attn.o_proj": {
1121
+ "group_size": 64,
1122
+ "bits": 4
1123
+ },
1124
+ "model.decoder.layers.27.mlp.gate_proj": {
1125
+ "group_size": 64,
1126
+ "bits": 4
1127
+ },
1128
+ "model.decoder.layers.27.mlp.up_proj": {
1129
+ "group_size": 64,
1130
+ "bits": 4
1131
+ },
1132
+ "model.decoder.layers.27.mlp.down_proj": {
1133
+ "group_size": 64,
1134
+ "bits": 8
1135
+ },
1136
+ "model.decoder.layers.27.router.proj": {
1137
+ "group_size": 64,
1138
+ "bits": 4
1139
+ },
1140
+ "model.decoder.layers.27.experts.gate_up_proj": {
1141
+ "group_size": 64,
1142
+ "bits": 4
1143
+ },
1144
+ "model.decoder.layers.27.experts.down_proj": {
1145
+ "group_size": 64,
1146
+ "bits": 8
1147
+ },
1148
+ "model.decoder.layers.28.self_attn.q_proj": {
1149
+ "group_size": 64,
1150
+ "bits": 4
1151
+ },
1152
+ "model.decoder.layers.28.self_attn.k_proj": {
1153
+ "group_size": 64,
1154
+ "bits": 4
1155
+ },
1156
+ "model.decoder.layers.28.self_attn.v_proj": {
1157
+ "group_size": 64,
1158
+ "bits": 8
1159
+ },
1160
+ "model.decoder.layers.28.self_attn.o_proj": {
1161
+ "group_size": 64,
1162
+ "bits": 4
1163
+ },
1164
+ "model.decoder.layers.28.mlp.gate_proj": {
1165
+ "group_size": 64,
1166
+ "bits": 4
1167
+ },
1168
+ "model.decoder.layers.28.mlp.up_proj": {
1169
+ "group_size": 64,
1170
+ "bits": 4
1171
+ },
1172
+ "model.decoder.layers.28.mlp.down_proj": {
1173
+ "group_size": 64,
1174
+ "bits": 8
1175
+ },
1176
+ "model.decoder.layers.28.router.proj": {
1177
+ "group_size": 64,
1178
+ "bits": 4
1179
+ },
1180
+ "model.decoder.layers.28.experts.gate_up_proj": {
1181
+ "group_size": 64,
1182
+ "bits": 4
1183
+ },
1184
+ "model.decoder.layers.28.experts.down_proj": {
1185
+ "group_size": 64,
1186
+ "bits": 8
1187
+ },
1188
+ "model.decoder.layers.29.self_attn.q_proj": {
1189
+ "group_size": 64,
1190
+ "bits": 4
1191
+ },
1192
+ "model.decoder.layers.29.self_attn.k_proj": {
1193
+ "group_size": 64,
1194
+ "bits": 4
1195
+ },
1196
+ "model.decoder.layers.29.self_attn.o_proj": {
1197
+ "group_size": 64,
1198
+ "bits": 4
1199
+ },
1200
+ "model.decoder.layers.29.mlp.gate_proj": {
1201
+ "group_size": 64,
1202
+ "bits": 4
1203
+ },
1204
+ "model.decoder.layers.29.mlp.up_proj": {
1205
+ "group_size": 64,
1206
+ "bits": 4
1207
+ },
1208
+ "model.decoder.layers.29.mlp.down_proj": {
1209
+ "group_size": 64,
1210
+ "bits": 8
1211
+ },
1212
+ "model.decoder.layers.29.router.proj": {
1213
+ "group_size": 64,
1214
+ "bits": 4
1215
+ },
1216
+ "model.decoder.layers.29.experts.gate_up_proj": {
1217
+ "group_size": 64,
1218
+ "bits": 4
1219
+ },
1220
+ "model.decoder.layers.29.experts.down_proj": {
1221
+ "group_size": 64,
1222
+ "bits": 8
1223
+ },
1224
+ "model.decoder.self_conditioning.gate_proj": {
1225
+ "group_size": 64,
1226
+ "bits": 4
1227
+ },
1228
+ "model.decoder.self_conditioning.up_proj": {
1229
+ "group_size": 64,
1230
+ "bits": 4
1231
+ },
1232
+ "model.decoder.self_conditioning.down_proj": {
1233
+ "group_size": 64,
1234
+ "bits": 8
1235
+ },
1236
+ "model.encoder.embed_vision.embedding_projection": {
1237
+ "group_size": 64,
1238
+ "bits": 4
1239
+ }
1240
+ },
1241
+ "quantization_config": {
1242
+ "group_size": 64,
1243
+ "bits": 4,
1244
+ "mode": "affine",
1245
+ "model.decoder.embed_tokens": {
1246
+ "group_size": 64,
1247
+ "bits": 8
1248
+ },
1249
+ "model.decoder.layers.0.self_attn.q_proj": {
1250
+ "group_size": 64,
1251
+ "bits": 4
1252
+ },
1253
+ "model.decoder.layers.0.self_attn.k_proj": {
1254
+ "group_size": 64,
1255
+ "bits": 4
1256
+ },
1257
+ "model.decoder.layers.0.self_attn.v_proj": {
1258
+ "group_size": 64,
1259
+ "bits": 8
1260
+ },
1261
+ "model.decoder.layers.0.self_attn.o_proj": {
1262
+ "group_size": 64,
1263
+ "bits": 4
1264
+ },
1265
+ "model.decoder.layers.0.mlp.gate_proj": {
1266
+ "group_size": 64,
1267
+ "bits": 4
1268
+ },
1269
+ "model.decoder.layers.0.mlp.up_proj": {
1270
+ "group_size": 64,
1271
+ "bits": 4
1272
+ },
1273
+ "model.decoder.layers.0.mlp.down_proj": {
1274
+ "group_size": 64,
1275
+ "bits": 8
1276
+ },
1277
+ "model.decoder.layers.0.router.proj": {
1278
+ "group_size": 64,
1279
+ "bits": 4
1280
+ },
1281
+ "model.decoder.layers.0.experts.gate_up_proj": {
1282
+ "group_size": 64,
1283
+ "bits": 4
1284
+ },
1285
+ "model.decoder.layers.0.experts.down_proj": {
1286
+ "group_size": 64,
1287
+ "bits": 8
1288
+ },
1289
+ "model.decoder.layers.1.self_attn.q_proj": {
1290
+ "group_size": 64,
1291
+ "bits": 4
1292
+ },
1293
+ "model.decoder.layers.1.self_attn.k_proj": {
1294
+ "group_size": 64,
1295
+ "bits": 4
1296
+ },
1297
+ "model.decoder.layers.1.self_attn.v_proj": {
1298
+ "group_size": 64,
1299
+ "bits": 8
1300
+ },
1301
+ "model.decoder.layers.1.self_attn.o_proj": {
1302
+ "group_size": 64,
1303
+ "bits": 4
1304
+ },
1305
+ "model.decoder.layers.1.mlp.gate_proj": {
1306
+ "group_size": 64,
1307
+ "bits": 4
1308
+ },
1309
+ "model.decoder.layers.1.mlp.up_proj": {
1310
+ "group_size": 64,
1311
+ "bits": 4
1312
+ },
1313
+ "model.decoder.layers.1.mlp.down_proj": {
1314
+ "group_size": 64,
1315
+ "bits": 8
1316
+ },
1317
+ "model.decoder.layers.1.router.proj": {
1318
+ "group_size": 64,
1319
+ "bits": 4
1320
+ },
1321
+ "model.decoder.layers.1.experts.gate_up_proj": {
1322
+ "group_size": 64,
1323
+ "bits": 4
1324
+ },
1325
+ "model.decoder.layers.1.experts.down_proj": {
1326
+ "group_size": 64,
1327
+ "bits": 8
1328
+ },
1329
+ "model.decoder.layers.2.self_attn.q_proj": {
1330
+ "group_size": 64,
1331
+ "bits": 4
1332
+ },
1333
+ "model.decoder.layers.2.self_attn.k_proj": {
1334
+ "group_size": 64,
1335
+ "bits": 4
1336
+ },
1337
+ "model.decoder.layers.2.self_attn.v_proj": {
1338
+ "group_size": 64,
1339
+ "bits": 8
1340
+ },
1341
+ "model.decoder.layers.2.self_attn.o_proj": {
1342
+ "group_size": 64,
1343
+ "bits": 4
1344
+ },
1345
+ "model.decoder.layers.2.mlp.gate_proj": {
1346
+ "group_size": 64,
1347
+ "bits": 4
1348
+ },
1349
+ "model.decoder.layers.2.mlp.up_proj": {
1350
+ "group_size": 64,
1351
+ "bits": 4
1352
+ },
1353
+ "model.decoder.layers.2.mlp.down_proj": {
1354
+ "group_size": 64,
1355
+ "bits": 8
1356
+ },
1357
+ "model.decoder.layers.2.router.proj": {
1358
+ "group_size": 64,
1359
+ "bits": 4
1360
+ },
1361
+ "model.decoder.layers.2.experts.gate_up_proj": {
1362
+ "group_size": 64,
1363
+ "bits": 4
1364
+ },
1365
+ "model.decoder.layers.2.experts.down_proj": {
1366
+ "group_size": 64,
1367
+ "bits": 8
1368
+ },
1369
+ "model.decoder.layers.3.self_attn.q_proj": {
1370
+ "group_size": 64,
1371
+ "bits": 4
1372
+ },
1373
+ "model.decoder.layers.3.self_attn.k_proj": {
1374
+ "group_size": 64,
1375
+ "bits": 4
1376
+ },
1377
+ "model.decoder.layers.3.self_attn.v_proj": {
1378
+ "group_size": 64,
1379
+ "bits": 8
1380
+ },
1381
+ "model.decoder.layers.3.self_attn.o_proj": {
1382
+ "group_size": 64,
1383
+ "bits": 4
1384
+ },
1385
+ "model.decoder.layers.3.mlp.gate_proj": {
1386
+ "group_size": 64,
1387
+ "bits": 4
1388
+ },
1389
+ "model.decoder.layers.3.mlp.up_proj": {
1390
+ "group_size": 64,
1391
+ "bits": 4
1392
+ },
1393
+ "model.decoder.layers.3.mlp.down_proj": {
1394
+ "group_size": 64,
1395
+ "bits": 8
1396
+ },
1397
+ "model.decoder.layers.3.router.proj": {
1398
+ "group_size": 64,
1399
+ "bits": 4
1400
+ },
1401
+ "model.decoder.layers.3.experts.gate_up_proj": {
1402
+ "group_size": 64,
1403
+ "bits": 4
1404
+ },
1405
+ "model.decoder.layers.3.experts.down_proj": {
1406
+ "group_size": 64,
1407
+ "bits": 8
1408
+ },
1409
+ "model.decoder.layers.4.self_attn.q_proj": {
1410
+ "group_size": 64,
1411
+ "bits": 4
1412
+ },
1413
+ "model.decoder.layers.4.self_attn.k_proj": {
1414
+ "group_size": 64,
1415
+ "bits": 4
1416
+ },
1417
+ "model.decoder.layers.4.self_attn.v_proj": {
1418
+ "group_size": 64,
1419
+ "bits": 8
1420
+ },
1421
+ "model.decoder.layers.4.self_attn.o_proj": {
1422
+ "group_size": 64,
1423
+ "bits": 4
1424
+ },
1425
+ "model.decoder.layers.4.mlp.gate_proj": {
1426
+ "group_size": 64,
1427
+ "bits": 4
1428
+ },
1429
+ "model.decoder.layers.4.mlp.up_proj": {
1430
+ "group_size": 64,
1431
+ "bits": 4
1432
+ },
1433
+ "model.decoder.layers.4.mlp.down_proj": {
1434
+ "group_size": 64,
1435
+ "bits": 8
1436
+ },
1437
+ "model.decoder.layers.4.router.proj": {
1438
+ "group_size": 64,
1439
+ "bits": 4
1440
+ },
1441
+ "model.decoder.layers.4.experts.gate_up_proj": {
1442
+ "group_size": 64,
1443
+ "bits": 4
1444
+ },
1445
+ "model.decoder.layers.4.experts.down_proj": {
1446
+ "group_size": 64,
1447
+ "bits": 8
1448
+ },
1449
+ "model.decoder.layers.5.self_attn.q_proj": {
1450
+ "group_size": 64,
1451
+ "bits": 4
1452
+ },
1453
+ "model.decoder.layers.5.self_attn.k_proj": {
1454
+ "group_size": 64,
1455
+ "bits": 4
1456
+ },
1457
+ "model.decoder.layers.5.self_attn.o_proj": {
1458
+ "group_size": 64,
1459
+ "bits": 4
1460
+ },
1461
+ "model.decoder.layers.5.mlp.gate_proj": {
1462
+ "group_size": 64,
1463
+ "bits": 4
1464
+ },
1465
+ "model.decoder.layers.5.mlp.up_proj": {
1466
+ "group_size": 64,
1467
+ "bits": 4
1468
+ },
1469
+ "model.decoder.layers.5.mlp.down_proj": {
1470
+ "group_size": 64,
1471
+ "bits": 8
1472
+ },
1473
+ "model.decoder.layers.5.router.proj": {
1474
+ "group_size": 64,
1475
+ "bits": 4
1476
+ },
1477
+ "model.decoder.layers.5.experts.gate_up_proj": {
1478
+ "group_size": 64,
1479
+ "bits": 4
1480
+ },
1481
+ "model.decoder.layers.5.experts.down_proj": {
1482
+ "group_size": 64,
1483
+ "bits": 8
1484
+ },
1485
+ "model.decoder.layers.6.self_attn.q_proj": {
1486
+ "group_size": 64,
1487
+ "bits": 4
1488
+ },
1489
+ "model.decoder.layers.6.self_attn.k_proj": {
1490
+ "group_size": 64,
1491
+ "bits": 4
1492
+ },
1493
+ "model.decoder.layers.6.self_attn.v_proj": {
1494
+ "group_size": 64,
1495
+ "bits": 8
1496
+ },
1497
+ "model.decoder.layers.6.self_attn.o_proj": {
1498
+ "group_size": 64,
1499
+ "bits": 4
1500
+ },
1501
+ "model.decoder.layers.6.mlp.gate_proj": {
1502
+ "group_size": 64,
1503
+ "bits": 4
1504
+ },
1505
+ "model.decoder.layers.6.mlp.up_proj": {
1506
+ "group_size": 64,
1507
+ "bits": 4
1508
+ },
1509
+ "model.decoder.layers.6.mlp.down_proj": {
1510
+ "group_size": 64,
1511
+ "bits": 8
1512
+ },
1513
+ "model.decoder.layers.6.router.proj": {
1514
+ "group_size": 64,
1515
+ "bits": 4
1516
+ },
1517
+ "model.decoder.layers.6.experts.gate_up_proj": {
1518
+ "group_size": 64,
1519
+ "bits": 4
1520
+ },
1521
+ "model.decoder.layers.6.experts.down_proj": {
1522
+ "group_size": 64,
1523
+ "bits": 8
1524
+ },
1525
+ "model.decoder.layers.7.self_attn.q_proj": {
1526
+ "group_size": 64,
1527
+ "bits": 4
1528
+ },
1529
+ "model.decoder.layers.7.self_attn.k_proj": {
1530
+ "group_size": 64,
1531
+ "bits": 4
1532
+ },
1533
+ "model.decoder.layers.7.self_attn.v_proj": {
1534
+ "group_size": 64,
1535
+ "bits": 8
1536
+ },
1537
+ "model.decoder.layers.7.self_attn.o_proj": {
1538
+ "group_size": 64,
1539
+ "bits": 4
1540
+ },
1541
+ "model.decoder.layers.7.mlp.gate_proj": {
1542
+ "group_size": 64,
1543
+ "bits": 4
1544
+ },
1545
+ "model.decoder.layers.7.mlp.up_proj": {
1546
+ "group_size": 64,
1547
+ "bits": 4
1548
+ },
1549
+ "model.decoder.layers.7.mlp.down_proj": {
1550
+ "group_size": 64,
1551
+ "bits": 8
1552
+ },
1553
+ "model.decoder.layers.7.router.proj": {
1554
+ "group_size": 64,
1555
+ "bits": 4
1556
+ },
1557
+ "model.decoder.layers.7.experts.gate_up_proj": {
1558
+ "group_size": 64,
1559
+ "bits": 4
1560
+ },
1561
+ "model.decoder.layers.7.experts.down_proj": {
1562
+ "group_size": 64,
1563
+ "bits": 8
1564
+ },
1565
+ "model.decoder.layers.8.self_attn.q_proj": {
1566
+ "group_size": 64,
1567
+ "bits": 4
1568
+ },
1569
+ "model.decoder.layers.8.self_attn.k_proj": {
1570
+ "group_size": 64,
1571
+ "bits": 4
1572
+ },
1573
+ "model.decoder.layers.8.self_attn.v_proj": {
1574
+ "group_size": 64,
1575
+ "bits": 8
1576
+ },
1577
+ "model.decoder.layers.8.self_attn.o_proj": {
1578
+ "group_size": 64,
1579
+ "bits": 4
1580
+ },
1581
+ "model.decoder.layers.8.mlp.gate_proj": {
1582
+ "group_size": 64,
1583
+ "bits": 4
1584
+ },
1585
+ "model.decoder.layers.8.mlp.up_proj": {
1586
+ "group_size": 64,
1587
+ "bits": 4
1588
+ },
1589
+ "model.decoder.layers.8.mlp.down_proj": {
1590
+ "group_size": 64,
1591
+ "bits": 8
1592
+ },
1593
+ "model.decoder.layers.8.router.proj": {
1594
+ "group_size": 64,
1595
+ "bits": 4
1596
+ },
1597
+ "model.decoder.layers.8.experts.gate_up_proj": {
1598
+ "group_size": 64,
1599
+ "bits": 4
1600
+ },
1601
+ "model.decoder.layers.8.experts.down_proj": {
1602
+ "group_size": 64,
1603
+ "bits": 8
1604
+ },
1605
+ "model.decoder.layers.9.self_attn.q_proj": {
1606
+ "group_size": 64,
1607
+ "bits": 4
1608
+ },
1609
+ "model.decoder.layers.9.self_attn.k_proj": {
1610
+ "group_size": 64,
1611
+ "bits": 4
1612
+ },
1613
+ "model.decoder.layers.9.self_attn.v_proj": {
1614
+ "group_size": 64,
1615
+ "bits": 8
1616
+ },
1617
+ "model.decoder.layers.9.self_attn.o_proj": {
1618
+ "group_size": 64,
1619
+ "bits": 4
1620
+ },
1621
+ "model.decoder.layers.9.mlp.gate_proj": {
1622
+ "group_size": 64,
1623
+ "bits": 4
1624
+ },
1625
+ "model.decoder.layers.9.mlp.up_proj": {
1626
+ "group_size": 64,
1627
+ "bits": 4
1628
+ },
1629
+ "model.decoder.layers.9.mlp.down_proj": {
1630
+ "group_size": 64,
1631
+ "bits": 8
1632
+ },
1633
+ "model.decoder.layers.9.router.proj": {
1634
+ "group_size": 64,
1635
+ "bits": 4
1636
+ },
1637
+ "model.decoder.layers.9.experts.gate_up_proj": {
1638
+ "group_size": 64,
1639
+ "bits": 4
1640
+ },
1641
+ "model.decoder.layers.9.experts.down_proj": {
1642
+ "group_size": 64,
1643
+ "bits": 8
1644
+ },
1645
+ "model.decoder.layers.10.self_attn.q_proj": {
1646
+ "group_size": 64,
1647
+ "bits": 4
1648
+ },
1649
+ "model.decoder.layers.10.self_attn.k_proj": {
1650
+ "group_size": 64,
1651
+ "bits": 4
1652
+ },
1653
+ "model.decoder.layers.10.self_attn.v_proj": {
1654
+ "group_size": 64,
1655
+ "bits": 8
1656
+ },
1657
+ "model.decoder.layers.10.self_attn.o_proj": {
1658
+ "group_size": 64,
1659
+ "bits": 4
1660
+ },
1661
+ "model.decoder.layers.10.mlp.gate_proj": {
1662
+ "group_size": 64,
1663
+ "bits": 4
1664
+ },
1665
+ "model.decoder.layers.10.mlp.up_proj": {
1666
+ "group_size": 64,
1667
+ "bits": 4
1668
+ },
1669
+ "model.decoder.layers.10.mlp.down_proj": {
1670
+ "group_size": 64,
1671
+ "bits": 8
1672
+ },
1673
+ "model.decoder.layers.10.router.proj": {
1674
+ "group_size": 64,
1675
+ "bits": 4
1676
+ },
1677
+ "model.decoder.layers.10.experts.gate_up_proj": {
1678
+ "group_size": 64,
1679
+ "bits": 4
1680
+ },
1681
+ "model.decoder.layers.10.experts.down_proj": {
1682
+ "group_size": 64,
1683
+ "bits": 8
1684
+ },
1685
+ "model.decoder.layers.11.self_attn.q_proj": {
1686
+ "group_size": 64,
1687
+ "bits": 4
1688
+ },
1689
+ "model.decoder.layers.11.self_attn.k_proj": {
1690
+ "group_size": 64,
1691
+ "bits": 4
1692
+ },
1693
+ "model.decoder.layers.11.self_attn.o_proj": {
1694
+ "group_size": 64,
1695
+ "bits": 4
1696
+ },
1697
+ "model.decoder.layers.11.mlp.gate_proj": {
1698
+ "group_size": 64,
1699
+ "bits": 4
1700
+ },
1701
+ "model.decoder.layers.11.mlp.up_proj": {
1702
+ "group_size": 64,
1703
+ "bits": 4
1704
+ },
1705
+ "model.decoder.layers.11.mlp.down_proj": {
1706
+ "group_size": 64,
1707
+ "bits": 8
1708
+ },
1709
+ "model.decoder.layers.11.router.proj": {
1710
+ "group_size": 64,
1711
+ "bits": 4
1712
+ },
1713
+ "model.decoder.layers.11.experts.gate_up_proj": {
1714
+ "group_size": 64,
1715
+ "bits": 4
1716
+ },
1717
+ "model.decoder.layers.11.experts.down_proj": {
1718
+ "group_size": 64,
1719
+ "bits": 8
1720
+ },
1721
+ "model.decoder.layers.12.self_attn.q_proj": {
1722
+ "group_size": 64,
1723
+ "bits": 4
1724
+ },
1725
+ "model.decoder.layers.12.self_attn.k_proj": {
1726
+ "group_size": 64,
1727
+ "bits": 4
1728
+ },
1729
+ "model.decoder.layers.12.self_attn.v_proj": {
1730
+ "group_size": 64,
1731
+ "bits": 8
1732
+ },
1733
+ "model.decoder.layers.12.self_attn.o_proj": {
1734
+ "group_size": 64,
1735
+ "bits": 4
1736
+ },
1737
+ "model.decoder.layers.12.mlp.gate_proj": {
1738
+ "group_size": 64,
1739
+ "bits": 4
1740
+ },
1741
+ "model.decoder.layers.12.mlp.up_proj": {
1742
+ "group_size": 64,
1743
+ "bits": 4
1744
+ },
1745
+ "model.decoder.layers.12.mlp.down_proj": {
1746
+ "group_size": 64,
1747
+ "bits": 8
1748
+ },
1749
+ "model.decoder.layers.12.router.proj": {
1750
+ "group_size": 64,
1751
+ "bits": 4
1752
+ },
1753
+ "model.decoder.layers.12.experts.gate_up_proj": {
1754
+ "group_size": 64,
1755
+ "bits": 4
1756
+ },
1757
+ "model.decoder.layers.12.experts.down_proj": {
1758
+ "group_size": 64,
1759
+ "bits": 8
1760
+ },
1761
+ "model.decoder.layers.13.self_attn.q_proj": {
1762
+ "group_size": 64,
1763
+ "bits": 4
1764
+ },
1765
+ "model.decoder.layers.13.self_attn.k_proj": {
1766
+ "group_size": 64,
1767
+ "bits": 4
1768
+ },
1769
+ "model.decoder.layers.13.self_attn.v_proj": {
1770
+ "group_size": 64,
1771
+ "bits": 8
1772
+ },
1773
+ "model.decoder.layers.13.self_attn.o_proj": {
1774
+ "group_size": 64,
1775
+ "bits": 4
1776
+ },
1777
+ "model.decoder.layers.13.mlp.gate_proj": {
1778
+ "group_size": 64,
1779
+ "bits": 4
1780
+ },
1781
+ "model.decoder.layers.13.mlp.up_proj": {
1782
+ "group_size": 64,
1783
+ "bits": 4
1784
+ },
1785
+ "model.decoder.layers.13.mlp.down_proj": {
1786
+ "group_size": 64,
1787
+ "bits": 8
1788
+ },
1789
+ "model.decoder.layers.13.router.proj": {
1790
+ "group_size": 64,
1791
+ "bits": 4
1792
+ },
1793
+ "model.decoder.layers.13.experts.gate_up_proj": {
1794
+ "group_size": 64,
1795
+ "bits": 4
1796
+ },
1797
+ "model.decoder.layers.13.experts.down_proj": {
1798
+ "group_size": 64,
1799
+ "bits": 8
1800
+ },
1801
+ "model.decoder.layers.14.self_attn.q_proj": {
1802
+ "group_size": 64,
1803
+ "bits": 4
1804
+ },
1805
+ "model.decoder.layers.14.self_attn.k_proj": {
1806
+ "group_size": 64,
1807
+ "bits": 4
1808
+ },
1809
+ "model.decoder.layers.14.self_attn.v_proj": {
1810
+ "group_size": 64,
1811
+ "bits": 8
1812
+ },
1813
+ "model.decoder.layers.14.self_attn.o_proj": {
1814
+ "group_size": 64,
1815
+ "bits": 4
1816
+ },
1817
+ "model.decoder.layers.14.mlp.gate_proj": {
1818
+ "group_size": 64,
1819
+ "bits": 4
1820
+ },
1821
+ "model.decoder.layers.14.mlp.up_proj": {
1822
+ "group_size": 64,
1823
+ "bits": 4
1824
+ },
1825
+ "model.decoder.layers.14.mlp.down_proj": {
1826
+ "group_size": 64,
1827
+ "bits": 8
1828
+ },
1829
+ "model.decoder.layers.14.router.proj": {
1830
+ "group_size": 64,
1831
+ "bits": 4
1832
+ },
1833
+ "model.decoder.layers.14.experts.gate_up_proj": {
1834
+ "group_size": 64,
1835
+ "bits": 4
1836
+ },
1837
+ "model.decoder.layers.14.experts.down_proj": {
1838
+ "group_size": 64,
1839
+ "bits": 8
1840
+ },
1841
+ "model.decoder.layers.15.self_attn.q_proj": {
1842
+ "group_size": 64,
1843
+ "bits": 4
1844
+ },
1845
+ "model.decoder.layers.15.self_attn.k_proj": {
1846
+ "group_size": 64,
1847
+ "bits": 4
1848
+ },
1849
+ "model.decoder.layers.15.self_attn.v_proj": {
1850
+ "group_size": 64,
1851
+ "bits": 8
1852
+ },
1853
+ "model.decoder.layers.15.self_attn.o_proj": {
1854
+ "group_size": 64,
1855
+ "bits": 4
1856
+ },
1857
+ "model.decoder.layers.15.mlp.gate_proj": {
1858
+ "group_size": 64,
1859
+ "bits": 4
1860
+ },
1861
+ "model.decoder.layers.15.mlp.up_proj": {
1862
+ "group_size": 64,
1863
+ "bits": 4
1864
+ },
1865
+ "model.decoder.layers.15.mlp.down_proj": {
1866
+ "group_size": 64,
1867
+ "bits": 8
1868
+ },
1869
+ "model.decoder.layers.15.router.proj": {
1870
+ "group_size": 64,
1871
+ "bits": 4
1872
+ },
1873
+ "model.decoder.layers.15.experts.gate_up_proj": {
1874
+ "group_size": 64,
1875
+ "bits": 4
1876
+ },
1877
+ "model.decoder.layers.15.experts.down_proj": {
1878
+ "group_size": 64,
1879
+ "bits": 8
1880
+ },
1881
+ "model.decoder.layers.16.self_attn.q_proj": {
1882
+ "group_size": 64,
1883
+ "bits": 4
1884
+ },
1885
+ "model.decoder.layers.16.self_attn.k_proj": {
1886
+ "group_size": 64,
1887
+ "bits": 4
1888
+ },
1889
+ "model.decoder.layers.16.self_attn.v_proj": {
1890
+ "group_size": 64,
1891
+ "bits": 8
1892
+ },
1893
+ "model.decoder.layers.16.self_attn.o_proj": {
1894
+ "group_size": 64,
1895
+ "bits": 4
1896
+ },
1897
+ "model.decoder.layers.16.mlp.gate_proj": {
1898
+ "group_size": 64,
1899
+ "bits": 4
1900
+ },
1901
+ "model.decoder.layers.16.mlp.up_proj": {
1902
+ "group_size": 64,
1903
+ "bits": 4
1904
+ },
1905
+ "model.decoder.layers.16.mlp.down_proj": {
1906
+ "group_size": 64,
1907
+ "bits": 8
1908
+ },
1909
+ "model.decoder.layers.16.router.proj": {
1910
+ "group_size": 64,
1911
+ "bits": 4
1912
+ },
1913
+ "model.decoder.layers.16.experts.gate_up_proj": {
1914
+ "group_size": 64,
1915
+ "bits": 4
1916
+ },
1917
+ "model.decoder.layers.16.experts.down_proj": {
1918
+ "group_size": 64,
1919
+ "bits": 8
1920
+ },
1921
+ "model.decoder.layers.17.self_attn.q_proj": {
1922
+ "group_size": 64,
1923
+ "bits": 4
1924
+ },
1925
+ "model.decoder.layers.17.self_attn.k_proj": {
1926
+ "group_size": 64,
1927
+ "bits": 4
1928
+ },
1929
+ "model.decoder.layers.17.self_attn.o_proj": {
1930
+ "group_size": 64,
1931
+ "bits": 4
1932
+ },
1933
+ "model.decoder.layers.17.mlp.gate_proj": {
1934
+ "group_size": 64,
1935
+ "bits": 4
1936
+ },
1937
+ "model.decoder.layers.17.mlp.up_proj": {
1938
+ "group_size": 64,
1939
+ "bits": 4
1940
+ },
1941
+ "model.decoder.layers.17.mlp.down_proj": {
1942
+ "group_size": 64,
1943
+ "bits": 8
1944
+ },
1945
+ "model.decoder.layers.17.router.proj": {
1946
+ "group_size": 64,
1947
+ "bits": 4
1948
+ },
1949
+ "model.decoder.layers.17.experts.gate_up_proj": {
1950
+ "group_size": 64,
1951
+ "bits": 4
1952
+ },
1953
+ "model.decoder.layers.17.experts.down_proj": {
1954
+ "group_size": 64,
1955
+ "bits": 8
1956
+ },
1957
+ "model.decoder.layers.18.self_attn.q_proj": {
1958
+ "group_size": 64,
1959
+ "bits": 4
1960
+ },
1961
+ "model.decoder.layers.18.self_attn.k_proj": {
1962
+ "group_size": 64,
1963
+ "bits": 4
1964
+ },
1965
+ "model.decoder.layers.18.self_attn.v_proj": {
1966
+ "group_size": 64,
1967
+ "bits": 8
1968
+ },
1969
+ "model.decoder.layers.18.self_attn.o_proj": {
1970
+ "group_size": 64,
1971
+ "bits": 4
1972
+ },
1973
+ "model.decoder.layers.18.mlp.gate_proj": {
1974
+ "group_size": 64,
1975
+ "bits": 4
1976
+ },
1977
+ "model.decoder.layers.18.mlp.up_proj": {
1978
+ "group_size": 64,
1979
+ "bits": 4
1980
+ },
1981
+ "model.decoder.layers.18.mlp.down_proj": {
1982
+ "group_size": 64,
1983
+ "bits": 8
1984
+ },
1985
+ "model.decoder.layers.18.router.proj": {
1986
+ "group_size": 64,
1987
+ "bits": 4
1988
+ },
1989
+ "model.decoder.layers.18.experts.gate_up_proj": {
1990
+ "group_size": 64,
1991
+ "bits": 4
1992
+ },
1993
+ "model.decoder.layers.18.experts.down_proj": {
1994
+ "group_size": 64,
1995
+ "bits": 8
1996
+ },
1997
+ "model.decoder.layers.19.self_attn.q_proj": {
1998
+ "group_size": 64,
1999
+ "bits": 4
2000
+ },
2001
+ "model.decoder.layers.19.self_attn.k_proj": {
2002
+ "group_size": 64,
2003
+ "bits": 4
2004
+ },
2005
+ "model.decoder.layers.19.self_attn.v_proj": {
2006
+ "group_size": 64,
2007
+ "bits": 8
2008
+ },
2009
+ "model.decoder.layers.19.self_attn.o_proj": {
2010
+ "group_size": 64,
2011
+ "bits": 4
2012
+ },
2013
+ "model.decoder.layers.19.mlp.gate_proj": {
2014
+ "group_size": 64,
2015
+ "bits": 4
2016
+ },
2017
+ "model.decoder.layers.19.mlp.up_proj": {
2018
+ "group_size": 64,
2019
+ "bits": 4
2020
+ },
2021
+ "model.decoder.layers.19.mlp.down_proj": {
2022
+ "group_size": 64,
2023
+ "bits": 8
2024
+ },
2025
+ "model.decoder.layers.19.router.proj": {
2026
+ "group_size": 64,
2027
+ "bits": 4
2028
+ },
2029
+ "model.decoder.layers.19.experts.gate_up_proj": {
2030
+ "group_size": 64,
2031
+ "bits": 4
2032
+ },
2033
+ "model.decoder.layers.19.experts.down_proj": {
2034
+ "group_size": 64,
2035
+ "bits": 8
2036
+ },
2037
+ "model.decoder.layers.20.self_attn.q_proj": {
2038
+ "group_size": 64,
2039
+ "bits": 4
2040
+ },
2041
+ "model.decoder.layers.20.self_attn.k_proj": {
2042
+ "group_size": 64,
2043
+ "bits": 4
2044
+ },
2045
+ "model.decoder.layers.20.self_attn.v_proj": {
2046
+ "group_size": 64,
2047
+ "bits": 8
2048
+ },
2049
+ "model.decoder.layers.20.self_attn.o_proj": {
2050
+ "group_size": 64,
2051
+ "bits": 4
2052
+ },
2053
+ "model.decoder.layers.20.mlp.gate_proj": {
2054
+ "group_size": 64,
2055
+ "bits": 4
2056
+ },
2057
+ "model.decoder.layers.20.mlp.up_proj": {
2058
+ "group_size": 64,
2059
+ "bits": 4
2060
+ },
2061
+ "model.decoder.layers.20.mlp.down_proj": {
2062
+ "group_size": 64,
2063
+ "bits": 8
2064
+ },
2065
+ "model.decoder.layers.20.router.proj": {
2066
+ "group_size": 64,
2067
+ "bits": 4
2068
+ },
2069
+ "model.decoder.layers.20.experts.gate_up_proj": {
2070
+ "group_size": 64,
2071
+ "bits": 4
2072
+ },
2073
+ "model.decoder.layers.20.experts.down_proj": {
2074
+ "group_size": 64,
2075
+ "bits": 8
2076
+ },
2077
+ "model.decoder.layers.21.self_attn.q_proj": {
2078
+ "group_size": 64,
2079
+ "bits": 4
2080
+ },
2081
+ "model.decoder.layers.21.self_attn.k_proj": {
2082
+ "group_size": 64,
2083
+ "bits": 4
2084
+ },
2085
+ "model.decoder.layers.21.self_attn.v_proj": {
2086
+ "group_size": 64,
2087
+ "bits": 8
2088
+ },
2089
+ "model.decoder.layers.21.self_attn.o_proj": {
2090
+ "group_size": 64,
2091
+ "bits": 4
2092
+ },
2093
+ "model.decoder.layers.21.mlp.gate_proj": {
2094
+ "group_size": 64,
2095
+ "bits": 4
2096
+ },
2097
+ "model.decoder.layers.21.mlp.up_proj": {
2098
+ "group_size": 64,
2099
+ "bits": 4
2100
+ },
2101
+ "model.decoder.layers.21.mlp.down_proj": {
2102
+ "group_size": 64,
2103
+ "bits": 8
2104
+ },
2105
+ "model.decoder.layers.21.router.proj": {
2106
+ "group_size": 64,
2107
+ "bits": 4
2108
+ },
2109
+ "model.decoder.layers.21.experts.gate_up_proj": {
2110
+ "group_size": 64,
2111
+ "bits": 4
2112
+ },
2113
+ "model.decoder.layers.21.experts.down_proj": {
2114
+ "group_size": 64,
2115
+ "bits": 8
2116
+ },
2117
+ "model.decoder.layers.22.self_attn.q_proj": {
2118
+ "group_size": 64,
2119
+ "bits": 4
2120
+ },
2121
+ "model.decoder.layers.22.self_attn.k_proj": {
2122
+ "group_size": 64,
2123
+ "bits": 4
2124
+ },
2125
+ "model.decoder.layers.22.self_attn.v_proj": {
2126
+ "group_size": 64,
2127
+ "bits": 8
2128
+ },
2129
+ "model.decoder.layers.22.self_attn.o_proj": {
2130
+ "group_size": 64,
2131
+ "bits": 4
2132
+ },
2133
+ "model.decoder.layers.22.mlp.gate_proj": {
2134
+ "group_size": 64,
2135
+ "bits": 4
2136
+ },
2137
+ "model.decoder.layers.22.mlp.up_proj": {
2138
+ "group_size": 64,
2139
+ "bits": 4
2140
+ },
2141
+ "model.decoder.layers.22.mlp.down_proj": {
2142
+ "group_size": 64,
2143
+ "bits": 8
2144
+ },
2145
+ "model.decoder.layers.22.router.proj": {
2146
+ "group_size": 64,
2147
+ "bits": 4
2148
+ },
2149
+ "model.decoder.layers.22.experts.gate_up_proj": {
2150
+ "group_size": 64,
2151
+ "bits": 4
2152
+ },
2153
+ "model.decoder.layers.22.experts.down_proj": {
2154
+ "group_size": 64,
2155
+ "bits": 8
2156
+ },
2157
+ "model.decoder.layers.23.self_attn.q_proj": {
2158
+ "group_size": 64,
2159
+ "bits": 4
2160
+ },
2161
+ "model.decoder.layers.23.self_attn.k_proj": {
2162
+ "group_size": 64,
2163
+ "bits": 4
2164
+ },
2165
+ "model.decoder.layers.23.self_attn.o_proj": {
2166
+ "group_size": 64,
2167
+ "bits": 4
2168
+ },
2169
+ "model.decoder.layers.23.mlp.gate_proj": {
2170
+ "group_size": 64,
2171
+ "bits": 4
2172
+ },
2173
+ "model.decoder.layers.23.mlp.up_proj": {
2174
+ "group_size": 64,
2175
+ "bits": 4
2176
+ },
2177
+ "model.decoder.layers.23.mlp.down_proj": {
2178
+ "group_size": 64,
2179
+ "bits": 8
2180
+ },
2181
+ "model.decoder.layers.23.router.proj": {
2182
+ "group_size": 64,
2183
+ "bits": 4
2184
+ },
2185
+ "model.decoder.layers.23.experts.gate_up_proj": {
2186
+ "group_size": 64,
2187
+ "bits": 4
2188
+ },
2189
+ "model.decoder.layers.23.experts.down_proj": {
2190
+ "group_size": 64,
2191
+ "bits": 8
2192
+ },
2193
+ "model.decoder.layers.24.self_attn.q_proj": {
2194
+ "group_size": 64,
2195
+ "bits": 4
2196
+ },
2197
+ "model.decoder.layers.24.self_attn.k_proj": {
2198
+ "group_size": 64,
2199
+ "bits": 4
2200
+ },
2201
+ "model.decoder.layers.24.self_attn.v_proj": {
2202
+ "group_size": 64,
2203
+ "bits": 8
2204
+ },
2205
+ "model.decoder.layers.24.self_attn.o_proj": {
2206
+ "group_size": 64,
2207
+ "bits": 4
2208
+ },
2209
+ "model.decoder.layers.24.mlp.gate_proj": {
2210
+ "group_size": 64,
2211
+ "bits": 4
2212
+ },
2213
+ "model.decoder.layers.24.mlp.up_proj": {
2214
+ "group_size": 64,
2215
+ "bits": 4
2216
+ },
2217
+ "model.decoder.layers.24.mlp.down_proj": {
2218
+ "group_size": 64,
2219
+ "bits": 8
2220
+ },
2221
+ "model.decoder.layers.24.router.proj": {
2222
+ "group_size": 64,
2223
+ "bits": 4
2224
+ },
2225
+ "model.decoder.layers.24.experts.gate_up_proj": {
2226
+ "group_size": 64,
2227
+ "bits": 4
2228
+ },
2229
+ "model.decoder.layers.24.experts.down_proj": {
2230
+ "group_size": 64,
2231
+ "bits": 8
2232
+ },
2233
+ "model.decoder.layers.25.self_attn.q_proj": {
2234
+ "group_size": 64,
2235
+ "bits": 4
2236
+ },
2237
+ "model.decoder.layers.25.self_attn.k_proj": {
2238
+ "group_size": 64,
2239
+ "bits": 4
2240
+ },
2241
+ "model.decoder.layers.25.self_attn.v_proj": {
2242
+ "group_size": 64,
2243
+ "bits": 8
2244
+ },
2245
+ "model.decoder.layers.25.self_attn.o_proj": {
2246
+ "group_size": 64,
2247
+ "bits": 4
2248
+ },
2249
+ "model.decoder.layers.25.mlp.gate_proj": {
2250
+ "group_size": 64,
2251
+ "bits": 4
2252
+ },
2253
+ "model.decoder.layers.25.mlp.up_proj": {
2254
+ "group_size": 64,
2255
+ "bits": 4
2256
+ },
2257
+ "model.decoder.layers.25.mlp.down_proj": {
2258
+ "group_size": 64,
2259
+ "bits": 8
2260
+ },
2261
+ "model.decoder.layers.25.router.proj": {
2262
+ "group_size": 64,
2263
+ "bits": 4
2264
+ },
2265
+ "model.decoder.layers.25.experts.gate_up_proj": {
2266
+ "group_size": 64,
2267
+ "bits": 4
2268
+ },
2269
+ "model.decoder.layers.25.experts.down_proj": {
2270
+ "group_size": 64,
2271
+ "bits": 8
2272
+ },
2273
+ "model.decoder.layers.26.self_attn.q_proj": {
2274
+ "group_size": 64,
2275
+ "bits": 4
2276
+ },
2277
+ "model.decoder.layers.26.self_attn.k_proj": {
2278
+ "group_size": 64,
2279
+ "bits": 4
2280
+ },
2281
+ "model.decoder.layers.26.self_attn.v_proj": {
2282
+ "group_size": 64,
2283
+ "bits": 8
2284
+ },
2285
+ "model.decoder.layers.26.self_attn.o_proj": {
2286
+ "group_size": 64,
2287
+ "bits": 4
2288
+ },
2289
+ "model.decoder.layers.26.mlp.gate_proj": {
2290
+ "group_size": 64,
2291
+ "bits": 4
2292
+ },
2293
+ "model.decoder.layers.26.mlp.up_proj": {
2294
+ "group_size": 64,
2295
+ "bits": 4
2296
+ },
2297
+ "model.decoder.layers.26.mlp.down_proj": {
2298
+ "group_size": 64,
2299
+ "bits": 8
2300
+ },
2301
+ "model.decoder.layers.26.router.proj": {
2302
+ "group_size": 64,
2303
+ "bits": 4
2304
+ },
2305
+ "model.decoder.layers.26.experts.gate_up_proj": {
2306
+ "group_size": 64,
2307
+ "bits": 4
2308
+ },
2309
+ "model.decoder.layers.26.experts.down_proj": {
2310
+ "group_size": 64,
2311
+ "bits": 8
2312
+ },
2313
+ "model.decoder.layers.27.self_attn.q_proj": {
2314
+ "group_size": 64,
2315
+ "bits": 4
2316
+ },
2317
+ "model.decoder.layers.27.self_attn.k_proj": {
2318
+ "group_size": 64,
2319
+ "bits": 4
2320
+ },
2321
+ "model.decoder.layers.27.self_attn.v_proj": {
2322
+ "group_size": 64,
2323
+ "bits": 8
2324
+ },
2325
+ "model.decoder.layers.27.self_attn.o_proj": {
2326
+ "group_size": 64,
2327
+ "bits": 4
2328
+ },
2329
+ "model.decoder.layers.27.mlp.gate_proj": {
2330
+ "group_size": 64,
2331
+ "bits": 4
2332
+ },
2333
+ "model.decoder.layers.27.mlp.up_proj": {
2334
+ "group_size": 64,
2335
+ "bits": 4
2336
+ },
2337
+ "model.decoder.layers.27.mlp.down_proj": {
2338
+ "group_size": 64,
2339
+ "bits": 8
2340
+ },
2341
+ "model.decoder.layers.27.router.proj": {
2342
+ "group_size": 64,
2343
+ "bits": 4
2344
+ },
2345
+ "model.decoder.layers.27.experts.gate_up_proj": {
2346
+ "group_size": 64,
2347
+ "bits": 4
2348
+ },
2349
+ "model.decoder.layers.27.experts.down_proj": {
2350
+ "group_size": 64,
2351
+ "bits": 8
2352
+ },
2353
+ "model.decoder.layers.28.self_attn.q_proj": {
2354
+ "group_size": 64,
2355
+ "bits": 4
2356
+ },
2357
+ "model.decoder.layers.28.self_attn.k_proj": {
2358
+ "group_size": 64,
2359
+ "bits": 4
2360
+ },
2361
+ "model.decoder.layers.28.self_attn.v_proj": {
2362
+ "group_size": 64,
2363
+ "bits": 8
2364
+ },
2365
+ "model.decoder.layers.28.self_attn.o_proj": {
2366
+ "group_size": 64,
2367
+ "bits": 4
2368
+ },
2369
+ "model.decoder.layers.28.mlp.gate_proj": {
2370
+ "group_size": 64,
2371
+ "bits": 4
2372
+ },
2373
+ "model.decoder.layers.28.mlp.up_proj": {
2374
+ "group_size": 64,
2375
+ "bits": 4
2376
+ },
2377
+ "model.decoder.layers.28.mlp.down_proj": {
2378
+ "group_size": 64,
2379
+ "bits": 8
2380
+ },
2381
+ "model.decoder.layers.28.router.proj": {
2382
+ "group_size": 64,
2383
+ "bits": 4
2384
+ },
2385
+ "model.decoder.layers.28.experts.gate_up_proj": {
2386
+ "group_size": 64,
2387
+ "bits": 4
2388
+ },
2389
+ "model.decoder.layers.28.experts.down_proj": {
2390
+ "group_size": 64,
2391
+ "bits": 8
2392
+ },
2393
+ "model.decoder.layers.29.self_attn.q_proj": {
2394
+ "group_size": 64,
2395
+ "bits": 4
2396
+ },
2397
+ "model.decoder.layers.29.self_attn.k_proj": {
2398
+ "group_size": 64,
2399
+ "bits": 4
2400
+ },
2401
+ "model.decoder.layers.29.self_attn.o_proj": {
2402
+ "group_size": 64,
2403
+ "bits": 4
2404
+ },
2405
+ "model.decoder.layers.29.mlp.gate_proj": {
2406
+ "group_size": 64,
2407
+ "bits": 4
2408
+ },
2409
+ "model.decoder.layers.29.mlp.up_proj": {
2410
+ "group_size": 64,
2411
+ "bits": 4
2412
+ },
2413
+ "model.decoder.layers.29.mlp.down_proj": {
2414
+ "group_size": 64,
2415
+ "bits": 8
2416
+ },
2417
+ "model.decoder.layers.29.router.proj": {
2418
+ "group_size": 64,
2419
+ "bits": 4
2420
+ },
2421
+ "model.decoder.layers.29.experts.gate_up_proj": {
2422
+ "group_size": 64,
2423
+ "bits": 4
2424
+ },
2425
+ "model.decoder.layers.29.experts.down_proj": {
2426
+ "group_size": 64,
2427
+ "bits": 8
2428
+ },
2429
+ "model.decoder.self_conditioning.gate_proj": {
2430
+ "group_size": 64,
2431
+ "bits": 4
2432
+ },
2433
+ "model.decoder.self_conditioning.up_proj": {
2434
+ "group_size": 64,
2435
+ "bits": 4
2436
+ },
2437
+ "model.decoder.self_conditioning.down_proj": {
2438
+ "group_size": 64,
2439
+ "bits": 8
2440
+ },
2441
+ "model.encoder.embed_vision.embedding_projection": {
2442
+ "group_size": 64,
2443
+ "bits": 4
2444
+ }
2445
+ },
2446
+ "text_config": {
2447
+ "attention_bias": false,
2448
+ "attention_dropout": 0.0,
2449
+ "bos_token_id": 2,
2450
+ "dtype": "float32",
2451
+ "eos_token_id": 1,
2452
+ "final_logit_softcapping": 30.0,
2453
+ "global_head_dim": 512,
2454
+ "head_dim": 256,
2455
+ "hidden_activation": "gelu_pytorch_tanh",
2456
+ "hidden_size": 2816,
2457
+ "initializer_range": 0.02,
2458
+ "intermediate_size": 2112,
2459
+ "layer_types": [
2460
+ "sliding_attention",
2461
+ "sliding_attention",
2462
+ "sliding_attention",
2463
+ "sliding_attention",
2464
+ "sliding_attention",
2465
+ "full_attention",
2466
+ "sliding_attention",
2467
+ "sliding_attention",
2468
+ "sliding_attention",
2469
+ "sliding_attention",
2470
+ "sliding_attention",
2471
+ "full_attention",
2472
+ "sliding_attention",
2473
+ "sliding_attention",
2474
+ "sliding_attention",
2475
+ "sliding_attention",
2476
+ "sliding_attention",
2477
+ "full_attention",
2478
+ "sliding_attention",
2479
+ "sliding_attention",
2480
+ "sliding_attention",
2481
+ "sliding_attention",
2482
+ "sliding_attention",
2483
+ "full_attention",
2484
+ "sliding_attention",
2485
+ "sliding_attention",
2486
+ "sliding_attention",
2487
+ "sliding_attention",
2488
+ "sliding_attention",
2489
+ "full_attention"
2490
+ ],
2491
+ "max_position_embeddings": 262144,
2492
+ "model_type": "diffusion_gemma_text",
2493
+ "moe_intermediate_size": 704,
2494
+ "num_attention_heads": 16,
2495
+ "num_experts": 128,
2496
+ "num_global_key_value_heads": 2,
2497
+ "num_hidden_layers": 30,
2498
+ "num_key_value_heads": 8,
2499
+ "pad_token_id": 0,
2500
+ "rms_norm_eps": 1e-06,
2501
+ "rope_parameters": {
2502
+ "full_attention": {
2503
+ "partial_rotary_factor": 0.25,
2504
+ "rope_theta": 1000000.0,
2505
+ "rope_type": "proportional"
2506
+ },
2507
+ "sliding_attention": {
2508
+ "rope_theta": 10000.0,
2509
+ "rope_type": "default"
2510
+ }
2511
+ },
2512
+ "sliding_window": 1024,
2513
+ "tie_word_embeddings": true,
2514
+ "top_k_experts": 8,
2515
+ "use_bidirectional_attention": "vision",
2516
+ "vocab_size": 262144
2517
+ },
2518
+ "tie_word_embeddings": true,
2519
+ "transformers_version": "5.11.0",
2520
+ "vision_config": {
2521
+ "_name_or_path": "",
2522
+ "architectures": null,
2523
+ "attention_bias": false,
2524
+ "attention_dropout": 0.0,
2525
+ "chunk_size_feed_forward": 0,
2526
+ "default_output_length": 280,
2527
+ "dtype": "float32",
2528
+ "global_head_dim": 72,
2529
+ "head_dim": 72,
2530
+ "hidden_activation": "gelu_pytorch_tanh",
2531
+ "hidden_size": 1152,
2532
+ "id2label": {
2533
+ "0": "LABEL_0",
2534
+ "1": "LABEL_1"
2535
+ },
2536
+ "initializer_range": 0.02,
2537
+ "intermediate_size": 4304,
2538
+ "is_encoder_decoder": false,
2539
+ "label2id": {
2540
+ "LABEL_0": 0,
2541
+ "LABEL_1": 1
2542
+ },
2543
+ "max_position_embeddings": 131072,
2544
+ "model_type": "gemma4_vision",
2545
+ "num_attention_heads": 16,
2546
+ "num_hidden_layers": 27,
2547
+ "num_key_value_heads": 16,
2548
+ "output_attentions": false,
2549
+ "output_hidden_states": false,
2550
+ "patch_size": 16,
2551
+ "pooling_kernel_size": 3,
2552
+ "position_embedding_size": 10240,
2553
+ "problem_type": null,
2554
+ "return_dict": true,
2555
+ "rms_norm_eps": 1e-06,
2556
+ "rope_parameters": {
2557
+ "rope_theta": 100.0,
2558
+ "rope_type": "default"
2559
+ },
2560
+ "standardize": true,
2561
+ "use_clipped_linears": false
2562
+ },
2563
+ "vision_soft_tokens_per_image": 280
2564
+ }
generation_config.json ADDED
@@ -0,0 +1,19 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "confidence_threshold": 0.005,
3
+ "eos_token_id": [
4
+ 1,
5
+ 106,
6
+ 50
7
+ ],
8
+ "max_denoising_steps": 48,
9
+ "max_new_tokens": 256,
10
+ "pad_token_id": 0,
11
+ "sampler_config": {
12
+ "_cls_name": "EntropyBoundSamplerConfig",
13
+ "entropy_bound": 0.1
14
+ },
15
+ "stability_threshold": 1,
16
+ "t_max": 0.8,
17
+ "t_min": 0.4,
18
+ "transformers_version": "5.11.0"
19
+ }
model-00001-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f406c89654e12b50e52d2cd6247e98d5342c00b05df5a5121e75cb4ff9b2f824
3
+ size 5245544169
model-00002-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:af50bb12d963f02508b15e337ccf11563916828d842f1bad039a8a15e1a7f878
3
+ size 5321544063
model-00003-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e1608bd84c1407363d0c005820b087a8a53e39171303f0dd2aa14d03e9b5ca7b
3
+ size 5326771173
model-00004-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d8544647bf89769eaf906c5da2d2fa6a9a9371b3e400187fb66019c777943a75
3
+ size 3791672116
model.safetensors.index.json ADDED
The diff for this file is too large to render. See raw diff
 
processor_config.json ADDED
@@ -0,0 +1,62 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "image_processor": {
3
+ "do_convert_rgb": true,
4
+ "do_normalize": false,
5
+ "do_rescale": true,
6
+ "do_resize": true,
7
+ "image_mean": [
8
+ 0.0,
9
+ 0.0,
10
+ 0.0
11
+ ],
12
+ "image_processor_type": "Gemma4ImageProcessor",
13
+ "image_seq_length": 280,
14
+ "image_std": [
15
+ 1.0,
16
+ 1.0,
17
+ 1.0
18
+ ],
19
+ "max_soft_tokens": 280,
20
+ "patch_size": 16,
21
+ "pooling_kernel_size": 3,
22
+ "resample": 3,
23
+ "rescale_factor": 0.00392156862745098,
24
+ "size": {
25
+ "height": 224,
26
+ "width": 224
27
+ }
28
+ },
29
+ "processor_class": "DiffusionGemma4Processor",
30
+ "video_processor": {
31
+ "default_fps": 2.0,
32
+ "do_normalize": true,
33
+ "do_rescale": true,
34
+ "do_resize": true,
35
+ "image_mean": [
36
+ 0.0,
37
+ 0.0,
38
+ 0.0
39
+ ],
40
+ "image_std": [
41
+ 1.0,
42
+ 1.0,
43
+ 1.0
44
+ ],
45
+ "max_soft_tokens": 70,
46
+ "num_frames": 32,
47
+ "patch_size": 16,
48
+ "pooling_kernel_size": 3,
49
+ "rescale_factor": 0.00392156862745098,
50
+ "video_processor_type": "Gemma4VideoProcessor"
51
+ },
52
+ "feature_extractor": {
53
+ "feature_extractor_type": "Gemma4AudioFeatureExtractor",
54
+ "sampling_rate": 16000,
55
+ "num_mel_filters": 128,
56
+ "fft_length": 512,
57
+ "hop_length": 160,
58
+ "chunk_duration": 8.0,
59
+ "overlap_duration": 1.0
60
+ },
61
+ "audio_ms_per_token": 40
62
+ }
tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cc8d3a0ce36466ccc1278bf987df5f71db1719b9ca6b4118264f45cb627bfe0f
3
+ size 32169626
tokenizer_config.json ADDED
@@ -0,0 +1,91 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "audio_token": "<|audio|>",
3
+ "backend": "tokenizers",
4
+ "boa_token": "<|audio>",
5
+ "boi_token": "<|image>",
6
+ "bos_token": "<bos>",
7
+ "eoa_token": "<audio|>",
8
+ "eoi_token": "<image|>",
9
+ "eos_token": "<eos>",
10
+ "eot_token": "<turn|>",
11
+ "etd_token": "<tool|>",
12
+ "etr_token": "<tool_response|>",
13
+ "extra_special_tokens": [
14
+ "<|video|>"
15
+ ],
16
+ "image_token": "<|image|>",
17
+ "is_local": true,
18
+ "local_files_only": true,
19
+ "mask_token": "<mask>",
20
+ "model_max_length": 1000000000000000019884624838656,
21
+ "model_specific_special_tokens": {
22
+ "audio_token": "<|audio|>",
23
+ "boa_token": "<|audio>",
24
+ "boi_token": "<|image>",
25
+ "eoa_token": "<audio|>",
26
+ "eoc_token": "<channel|>",
27
+ "eoi_token": "<image|>",
28
+ "eot_token": "<turn|>",
29
+ "escape_token": "<|\"|>",
30
+ "etc_token": "<tool_call|>",
31
+ "etd_token": "<tool|>",
32
+ "etr_token": "<tool_response|>",
33
+ "image_token": "<|image|>",
34
+ "soc_token": "<|channel>",
35
+ "sot_token": "<|turn>",
36
+ "stc_token": "<|tool_call>",
37
+ "std_token": "<|tool>",
38
+ "str_token": "<|tool_response>",
39
+ "think_token": "<|think|>"
40
+ },
41
+ "pad_token": "<pad>",
42
+ "padding_side": "left",
43
+ "processor_class": "DiffusionGemma4Processor",
44
+ "response_schema": {
45
+ "properties": {
46
+ "content": {
47
+ "type": "string"
48
+ },
49
+ "role": {
50
+ "const": "assistant"
51
+ },
52
+ "thinking": {
53
+ "type": "string"
54
+ },
55
+ "tool_calls": {
56
+ "items": {
57
+ "properties": {
58
+ "function": {
59
+ "properties": {
60
+ "arguments": {
61
+ "additionalProperties": {},
62
+ "type": "object",
63
+ "x-parser": "gemma4-tool-call"
64
+ },
65
+ "name": {
66
+ "type": "string"
67
+ }
68
+ },
69
+ "type": "object",
70
+ "x-regex": "call\\:(?P<name>\\w+)(?P<arguments>\\{.*\\})"
71
+ },
72
+ "type": {
73
+ "const": "function"
74
+ }
75
+ },
76
+ "type": "object"
77
+ },
78
+ "type": "array",
79
+ "x-regex-iterator": "<\\|tool_call>(.*?)<tool_call\\|>"
80
+ }
81
+ },
82
+ "type": "object",
83
+ "x-regex": "(\\<\\|channel\\>thought\\n(?P<thinking>.*?)\\<channel\\|\\>)?(?P<tool_calls>\\<\\|tool_call\\>.*\\<tool_call\\|\\>)?(?P<content>(?:(?!\\<turn\\|\\>)(?!\\<\\|tool_response\\>).)+)?(?:\\<turn\\|\\>|\\<\\|tool_response\\>)?"
84
+ },
85
+ "sot_token": "<|turn>",
86
+ "std_token": "<|tool>",
87
+ "str_token": "<|tool_response>",
88
+ "think_token": "<|think|>",
89
+ "tokenizer_class": "GemmaTokenizer",
90
+ "unk_token": "<unk>"
91
+ }