Hugging Face's logo

zesming
/
Qwen3.8-27B-oQ4e-mtp

Image-Text-to-Text
MLX
Safetensors
qwen3_5
omlx
oq
oqe
4-bit precision
mtp
qwen
vision-language
multimodal
conversational
Model card Files
xet
 Community
zesming commited on
Commit
44e4a74
·
verified ·
1 Parent(s): f2126eb

Upload Qwen3.8-27B-oQ4e-mtp via oMLX

Browse files
Files changed (18) hide show
  1. .gitattributes +1 -0
  2. LICENSE +202 -0
  3. README.md +67 -0
  4. chat_template.jinja +170 -0
  5. config.json +1814 -0
  6. generation_config.json +12 -0
  7. merges.txt +0 -0
  8. model-00001-of-00004.safetensors +3 -0
  9. model-00002-of-00004.safetensors +3 -0
  10. model-00003-of-00004.safetensors +3 -0
  11. model-00004-of-00004.safetensors +3 -0
  12. model.safetensors.index.json +0 -0
  13. oq_imatrix_report.json +609 -0
  14. preprocessor_config.json +21 -0
  15. tokenizer.json +3 -0
  16. tokenizer_config.json +305 -0
  17. video_preprocessor_config.json +21 -0
  18. vocab.json +0 -0
.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
LICENSE ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+
2
+ Apache License
3
+ Version 2.0, January 2004
4
+ http://www.apache.org/licenses/
5
+
6
+ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
7
+
8
+ 1. Definitions.
9
+
10
+ "License" shall mean the terms and conditions for use, reproduction,
11
+ and distribution as defined by Sections 1 through 9 of this document.
12
+
13
+ "Licensor" shall mean the copyright owner or entity authorized by
14
+ the copyright owner that is granting the License.
15
+
16
+ "Legal Entity" shall mean the union of the acting entity and all
17
+ other entities that control, are controlled by, or are under common
18
+ control with that entity. For the purposes of this definition,
19
+ "control" means (i) the power, direct or indirect, to cause the
20
+ direction or management of such entity, whether by contract or
21
+ otherwise, or (ii) ownership of fifty percent (50%) or more of the
22
+ outstanding shares, or (iii) beneficial ownership of such entity.
23
+
24
+ "You" (or "Your") shall mean an individual or Legal Entity
25
+ exercising permissions granted by this License.
26
+
27
+ "Source" form shall mean the preferred form for making modifications,
28
+ including but not limited to software source code, documentation
29
+ source, and configuration files.
30
+
31
+ "Object" form shall mean any form resulting from mechanical
32
+ transformation or translation of a Source form, including but
33
+ not limited to compiled object code, generated documentation,
34
+ and conversions to other media types.
35
+
36
+ "Work" shall mean the work of authorship, whether in Source or
37
+ Object form, made available under the License, as indicated by a
38
+ copyright notice that is included in or attached to the work
39
+ (an example is provided in the Appendix below).
40
+
41
+ "Derivative Works" shall mean any work, whether in Source or Object
42
+ form, that is based on (or derived from) the Work and for which the
43
+ editorial revisions, annotations, elaborations, or other modifications
44
+ represent, as a whole, an original work of authorship. For the purposes
45
+ of this License, Derivative Works shall not include works that remain
46
+ separable from, or merely link (or bind by name) to the interfaces of,
47
+ the Work and Derivative Works thereof.
48
+
49
+ "Contribution" shall mean any work of authorship, including
50
+ the original version of the Work and any modifications or additions
51
+ to that Work or Derivative Works thereof, that is intentionally
52
+ submitted to Licensor for inclusion in the Work by the copyright owner
53
+ or by an individual or Legal Entity authorized to submit on behalf of
54
+ the copyright owner. For the purposes of this definition, "submitted"
55
+ means any form of electronic, verbal, or written communication sent
56
+ to the Licensor or its representatives, including but not limited to
57
+ communication on electronic mailing lists, source code control systems,
58
+ and issue tracking systems that are managed by, or on behalf of, the
59
+ Licensor for the purpose of discussing and improving the Work, but
60
+ excluding communication that is conspicuously marked or otherwise
61
+ designated in writing by the copyright owner as "Not a Contribution."
62
+
63
+ "Contributor" shall mean Licensor and any individual or Legal Entity
64
+ on behalf of whom a Contribution has been received by Licensor and
65
+ subsequently incorporated within the Work.
66
+
67
+ 2. Grant of Copyright License. Subject to the terms and conditions of
68
+ this License, each Contributor hereby grants to You a perpetual,
69
+ worldwide, non-exclusive, no-charge, royalty-free, irrevocable
70
+ copyright license to reproduce, prepare Derivative Works of,
71
+ publicly display, publicly perform, sublicense, and distribute the
72
+ Work and such Derivative Works in Source or Object form.
73
+
74
+ 3. Grant of Patent License. Subject to the terms and conditions of
75
+ this License, each Contributor hereby grants to You a perpetual,
76
+ worldwide, non-exclusive, no-charge, royalty-free, irrevocable
77
+ (except as stated in this section) patent license to make, have made,
78
+ use, offer to sell, sell, import, and otherwise transfer the Work,
79
+ where such license applies only to those patent claims licensable
80
+ by such Contributor that are necessarily infringed by their
81
+ Contribution(s) alone or by combination of their Contribution(s)
82
+ with the Work to which such Contribution(s) was submitted. If You
83
+ institute patent litigation against any entity (including a
84
+ cross-claim or counterclaim in a lawsuit) alleging that the Work
85
+ or a Contribution incorporated within the Work constitutes direct
86
+ or contributory patent infringement, then any patent licenses
87
+ granted to You under this License for that Work shall terminate
88
+ as of the date such litigation is filed.
89
+
90
+ 4. Redistribution. You may reproduce and distribute copies of the
91
+ Work or Derivative Works thereof in any medium, with or without
92
+ modifications, and in Source or Object form, provided that You
93
+ meet the following conditions:
94
+
95
+ (a) You must give any other recipients of the Work or
96
+ Derivative Works a copy of this License; and
97
+
98
+ (b) You must cause any modified files to carry prominent notices
99
+ stating that You changed the files; and
100
+
101
+ (c) You must retain, in the Source form of any Derivative Works
102
+ that You distribute, all copyright, patent, trademark, and
103
+ attribution notices from the Source form of the Work,
104
+ excluding those notices that do not pertain to any part of
105
+ the Derivative Works; and
106
+
107
+ (d) If the Work includes a "NOTICE" text file as part of its
108
+ distribution, then any Derivative Works that You distribute must
109
+ include a readable copy of the attribution notices contained
110
+ within such NOTICE file, excluding those notices that do not
111
+ pertain to any part of the Derivative Works, in at least one
112
+ of the following places: within a NOTICE text file distributed
113
+ as part of the Derivative Works; within the Source form or
114
+ documentation, if provided along with the Derivative Works; or,
115
+ within a display generated by the Derivative Works, if and
116
+ wherever such third-party notices normally appear. The contents
117
+ of the NOTICE file are for informational purposes only and
118
+ do not modify the License. You may add Your own attribution
119
+ notices within Derivative Works that You distribute, alongside
120
+ or as an addendum to the NOTICE text from the Work, provided
121
+ that such additional attribution notices cannot be construed
122
+ as modifying the License.
123
+
124
+ You may add Your own copyright statement to Your modifications and
125
+ may provide additional or different license terms and conditions
126
+ for use, reproduction, or distribution of Your modifications, or
127
+ for any such Derivative Works as a whole, provided Your use,
128
+ reproduction, and distribution of the Work otherwise complies with
129
+ the conditions stated in this License.
130
+
131
+ 5. Submission of Contributions. Unless You explicitly state otherwise,
132
+ any Contribution intentionally submitted for inclusion in the Work
133
+ by You to the Licensor shall be under the terms and conditions of
134
+ this License, without any additional terms or conditions.
135
+ Notwithstanding the above, nothing herein shall supersede or modify
136
+ the terms of any separate license agreement you may have executed
137
+ with Licensor regarding such Contributions.
138
+
139
+ 6. Trademarks. This License does not grant permission to use the trade
140
+ names, trademarks, service marks, or product names of the Licensor,
141
+ except as required for reasonable and customary use in describing the
142
+ origin of the Work and reproducing the content of the NOTICE file.
143
+
144
+ 7. Disclaimer of Warranty. Unless required by applicable law or
145
+ agreed to in writing, Licensor provides the Work (and each
146
+ Contributor provides its Contributions) on an "AS IS" BASIS,
147
+ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
148
+ implied, including, without limitation, any warranties or conditions
149
+ of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
150
+ PARTICULAR PURPOSE. You are solely responsible for determining the
151
+ appropriateness of using or redistributing the Work and assume any
152
+ risks associated with Your exercise of permissions under this License.
153
+
154
+ 8. Limitation of Liability. In no event and under no legal theory,
155
+ whether in tort (including negligence), contract, or otherwise,
156
+ unless required by applicable law (such as deliberate and grossly
157
+ negligent acts) or agreed to in writing, shall any Contributor be
158
+ liable to You for damages, including any direct, indirect, special,
159
+ incidental, or consequential damages of any character arising as a
160
+ result of this License or out of the use or inability to use the
161
+ Work (including but not limited to damages for loss of goodwill,
162
+ work stoppage, computer failure or malfunction, or any and all
163
+ other commercial damages or losses), even if such Contributor
164
+ has been advised of the possibility of such damages.
165
+
166
+ 9. Accepting Warranty or Additional Liability. While redistributing
167
+ the Work or Derivative Works thereof, You may choose to offer,
168
+ and charge a fee for, acceptance of support, warranty, indemnity,
169
+ or other liability obligations and/or rights consistent with this
170
+ License. However, in accepting such obligations, You may act only
171
+ on Your own behalf and on Your sole responsibility, not on behalf
172
+ of any other Contributor, and only if You agree to indemnify,
173
+ defend, and hold each Contributor harmless for any liability
174
+ incurred by, or claims asserted against, such Contributor by reason
175
+ of your accepting any such warranty or additional liability.
176
+
177
+ END OF TERMS AND CONDITIONS
178
+
179
+ APPENDIX: How to apply the Apache License to your work.
180
+
181
+ To apply the Apache License to your work, attach the following
182
+ boilerplate notice, with the fields enclosed by brackets "[]"
183
+ replaced with your own identifying information. (Don't include
184
+ the brackets!) The text should be enclosed in the appropriate
185
+ comment syntax for the file format. We also recommend that a
186
+ file or class name and description of purpose be included on the
187
+ same "printed page" as the copyright notice for easier
188
+ identification within third-party archives.
189
+
190
+ Copyright 2026 Alibaba Cloud
191
+
192
+ Licensed under the Apache License, Version 2.0 (the "License");
193
+ you may not use this file except in compliance with the License.
194
+ You may obtain a copy of the License at
195
+
196
+ http://www.apache.org/licenses/LICENSE-2.0
197
+
198
+ Unless required by applicable law or agreed to in writing, software
199
+ distributed under the License is distributed on an "AS IS" BASIS,
200
+ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
201
+ See the License for the specific language governing permissions and
202
+ limitations under the License.
README.md ADDED
@@ -0,0 +1,67 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: Qwen/Qwen3.8-27B
3
+ base_model_relation: quantized
4
+ library_name: mlx
5
+ license: apache-2.0
6
+ pipeline_tag: image-text-to-text
7
+ tags:
8
+ - mlx
9
+ - omlx
10
+ - oq
11
+ - oqe
12
+ - 4-bit
13
+ - mtp
14
+ - qwen
15
+ - vision-language
16
+ - multimodal
17
+ ---
18
+
19
+ # Qwen3.8-27B-oQ4e-mtp
20
+
21
+ This is an MLX oQ4e quantization of [Qwen/Qwen3.8-27B](https://huggingface.co/Qwen/Qwen3.8-27B), produced with oMLX 0.5.7.
22
+
23
+ ## Quantization
24
+
25
+ - Quantizer: oMLX oQ4e
26
+ - Base precision target: 4-bit affine, group size 64
27
+ - Effective mixed-precision budget reported by oMLX: approximately 4.9 bpw
28
+ - Calibration: oQe imatrix-weighted affine quantization
29
+ - Non-quantized tensor dtype: bfloat16
30
+ - Native MTP weights and configuration retained
31
+ - Vision tower retained; this is not a text-only conversion
32
+ - Output: four safetensors shards, approximately 15.83 GB
33
+
34
+ oQ4e uses oMLX layer-sensitivity planning together with activation-importance calibration. Architecture protection rules leave the vision encoder unquantized and protect output-critical tensors.
35
+
36
+ ## Multimodal configuration note
37
+
38
+ The official base checkpoint includes both preprocessor_config.json and video_preprocessor_config.json. oMLX 0.5.7 copied the image preprocessor configuration during quantization but did not copy the separate video preprocessor sidecar. The original video_preprocessor_config.json from Qwen/Qwen3.8-27B was therefore added unchanged to this repository so that the official image/video processor metadata is preserved.
39
+
40
+ No vision weights were reconstructed or borrowed from another checkpoint.
41
+
42
+ ## Validation
43
+
44
+ The converted checkpoint was validated locally with oMLX 0.5.7:
45
+
46
+ - Loaded successfully as a VLM.
47
+ - Native Lightning MTP was selected and activated at runtime.
48
+ - Text generation completed successfully with MTP draft acceptance recorded by oMLX.
49
+ - An OpenAI-compatible multimodal API request correctly identified the main subject of a test image.
50
+ - The checkpoint index contains the retained language_model.mtp.* tensors and the full vision_tower.* tensor set.
51
+
52
+ ## Suggested oMLX settings
53
+
54
+ For thinking mode, the Qwen model card recommends:
55
+
56
+ - temperature=1.0
57
+ - top_p=0.95
58
+ - top_k=20
59
+ - min_p=0.0
60
+ - presence_penalty=0.0
61
+ - repetition_penalty=1.0
62
+
63
+ This conversion supports enable_thinking, preserve_thinking, and reasoning_effort (xhigh, medium, or low). Native Lightning MTP can be enabled in the oMLX model settings.
64
+
65
+ ## License and attribution
66
+
67
+ The base model is licensed under Apache 2.0. See the included LICENSE file and the [official Qwen3.8-27B model card](https://huggingface.co/Qwen/Qwen3.8-27B) for details.
chat_template.jinja ADDED
@@ -0,0 +1,170 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {%- set image_count = namespace(value=0) %}
2
+ {%- set video_count = namespace(value=0) %}
3
+ {%- macro render_content(content, do_vision_count, is_system_content=false) %}
4
+ {%- if content is string %}
5
+ {{- content }}
6
+ {%- elif content is iterable and content is not mapping %}
7
+ {%- for item in content %}
8
+ {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
9
+ {%- if is_system_content %}
10
+ {{- raise_exception('System message cannot contain images.') }}
11
+ {%- endif %}
12
+ {%- if do_vision_count %}
13
+ {%- set image_count.value = image_count.value + 1 %}
14
+ {%- endif %}
15
+ {%- if add_vision_id %}
16
+ {{- 'Picture ' ~ image_count.value ~ ': ' }}
17
+ {%- endif %}
18
+ {{- '<|vision_start|><|image_pad|><|vision_end|>' }}
19
+ {%- elif 'video' in item or item.type == 'video' %}
20
+ {%- if is_system_content %}
21
+ {{- raise_exception('System message cannot contain videos.') }}
22
+ {%- endif %}
23
+ {%- if do_vision_count %}
24
+ {%- set video_count.value = video_count.value + 1 %}
25
+ {%- endif %}
26
+ {%- if add_vision_id %}
27
+ {{- 'Video ' ~ video_count.value ~ ': ' }}
28
+ {%- endif %}
29
+ {{- '<|vision_start|><|video_pad|><|vision_end|>' }}
30
+ {%- elif 'text' in item %}
31
+ {{- item.text }}
32
+ {%- else %}
33
+ {{- raise_exception('Unexpected item type in content.') }}
34
+ {%- endif %}
35
+ {%- endfor %}
36
+ {%- elif content is none or content is undefined %}
37
+ {{- '' }}
38
+ {%- else %}
39
+ {{- raise_exception('Unexpected content type.') }}
40
+ {%- endif %}
41
+ {%- endmacro %}
42
+ {%- if not messages %}
43
+ {{- raise_exception('No messages provided.') }}
44
+ {%- endif %}
45
+ {%- set reasoning_instructions = '' %}
46
+ {%- if enable_thinking is undefined or enable_thinking is true %}
47
+ {%- set resolved_reasoning_effort = reasoning_effort|default('xhigh') %}
48
+ {%- if resolved_reasoning_effort not in ('xhigh', 'medium', 'low') %}
49
+ {{- raise_exception('Unexpected reasoning effort ' ~ reasoning_effort ~ '. Supported types are xhigh (default), medium, and low.') }}
50
+ {%- endif %}
51
+ {%- if resolved_reasoning_effort == 'xhigh' %}
52
+ {%- set reasoning_instructions = 'Reasoning effort is set to xhigh. Please think carefully through the task, validate key assumptions, consider plausible alternatives, and prioritize correctness, consistency, and clarity in the final answer.' %}
53
+ {%- elif resolved_reasoning_effort == 'low' %}
54
+ {%- set reasoning_instructions = 'Reasoning effort is set to low. Keep your thinking brief and focused, moving directly to the conclusion without unnecessary elaboration.' %}
55
+ {%- endif %}
56
+ {%- endif %}
57
+ {%- if tools and tools is iterable and tools is not mapping %}
58
+ {{- '<|im_start|>system\n' }}
59
+ {%- if reasoning_instructions %}
60
+ {{- reasoning_instructions + '\n\n' }}
61
+ {%- endif %}
62
+ {{- "# Tools\n\nYou have access to the following functions:\n\n<tools>" }}
63
+ {%- for tool in tools %}
64
+ {{- "\n" }}
65
+ {{- tool | tojson }}
66
+ {%- endfor %}
67
+ {{- "\n</tools>" }}
68
+ {{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n<tool_call>\n<function=example_function_name>\n<parameter=example_parameter_1>\nvalue_1\n</parameter>\n<parameter=example_parameter_2>\nThis is the value for the second parameter\nthat can span\nmultiple lines\n</parameter>\n</function>\n</tool_call>\n\n<IMPORTANT>\nReminder:\n- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n</IMPORTANT>' }}
69
+ {%- if messages[0].role == 'system' %}
70
+ {%- set content = render_content(messages[0].content, false, true)|trim %}
71
+ {%- if content %}
72
+ {{- '\n\n' + content }}
73
+ {%- endif %}
74
+ {%- endif %}
75
+ {{- '<|im_end|>\n' }}
76
+ {%- else %}
77
+ {%- if messages[0].role == 'system' %}
78
+ {%- set content = render_content(messages[0].content, false, true)|trim %}
79
+ {%- if content %}
80
+ {{- '<|im_start|>system\n' + (reasoning_instructions + '\n\n' if reasoning_instructions else '') + content + '<|im_end|>\n' }}
81
+ {%- elif reasoning_instructions %}
82
+ {{- '<|im_start|>system\n' + reasoning_instructions + '<|im_end|>\n' }}
83
+ {%- endif %}
84
+ {%- elif reasoning_instructions %}
85
+ {{- '<|im_start|>system\n' + reasoning_instructions + '<|im_end|>\n' }}
86
+ {%- endif %}
87
+ {%- endif %}
88
+ {%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
89
+ {%- for message in messages[::-1] %}
90
+ {%- set index = (messages|length - 1) - loop.index0 %}
91
+ {%- if ns.multi_step_tool and message.role == "user" %}
92
+ {%- set content = render_content(message.content, false)|trim %}
93
+ {%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}
94
+ {%- set ns.multi_step_tool = false %}
95
+ {%- set ns.last_query_index = index %}
96
+ {%- endif %}
97
+ {%- endif %}
98
+ {%- endfor %}
99
+ {%- if ns.multi_step_tool %}
100
+ {{- raise_exception('No user query found in messages.') }}
101
+ {%- endif %}
102
+ {%- for message in messages %}
103
+ {%- set content = render_content(message.content, true)|trim %}
104
+ {%- if message.role == "system" %}
105
+ {%- if not loop.first %}
106
+ {{- raise_exception('System message must be at the beginning.') }}
107
+ {%- endif %}
108
+ {%- elif message.role == "user" %}
109
+ {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
110
+ {%- elif message.role == "assistant" %}
111
+ {%- set reasoning_content = '' %}
112
+ {%- if message.reasoning_content is string %}
113
+ {%- set reasoning_content = message.reasoning_content %}
114
+ {%- endif %}
115
+ {%- set reasoning_content = reasoning_content|trim %}
116
+ {%- if preserve_thinking is undefined or preserve_thinking is true or loop.index0 > ns.last_query_index %}
117
+ {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content + '\n</think>\n\n' + content }}
118
+ {%- else %}
119
+ {{- '<|im_start|>' + message.role + '\n' + content }}
120
+ {%- endif %}
121
+ {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
122
+ {%- for tool_call in message.tool_calls %}
123
+ {%- if tool_call.function is defined %}
124
+ {%- set tool_call = tool_call.function %}
125
+ {%- endif %}
126
+ {%- if loop.first %}
127
+ {%- if content|trim %}
128
+ {{- '\n\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
129
+ {%- else %}
130
+ {{- '<tool_call>\n<function=' + tool_call.name + '>\n' }}
131
+ {%- endif %}
132
+ {%- else %}
133
+ {{- '\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
134
+ {%- endif %}
135
+ {%- if tool_call.arguments is defined and tool_call.arguments != '' %}
136
+ {%- for args_name, args_value in tool_call.arguments|items %}
137
+ {{- '<parameter=' + args_name + '>\n' }}
138
+ {%- set args_value = args_value | string if args_value is string else args_value | tojson | safe %}
139
+ {{- args_value }}
140
+ {{- '\n</parameter>\n' }}
141
+ {%- endfor %}
142
+ {%- endif %}
143
+ {{- '</function>\n</tool_call>' }}
144
+ {%- endfor %}
145
+ {%- endif %}
146
+ {{- '<|im_end|>\n' }}
147
+ {%- elif message.role == "tool" %}
148
+ {%- if loop.previtem and loop.previtem.role != "tool" %}
149
+ {{- '<|im_start|>user' }}
150
+ {%- endif %}
151
+ {{- '\n<tool_response>\n' }}
152
+ {{- content }}
153
+ {{- '\n</tool_response>' }}
154
+ {%- if not loop.last and loop.nextitem.role != "tool" %}
155
+ {{- '<|im_end|>\n' }}
156
+ {%- elif loop.last %}
157
+ {{- '<|im_end|>\n' }}
158
+ {%- endif %}
159
+ {%- else %}
160
+ {{- raise_exception('Unexpected message role.') }}
161
+ {%- endif %}
162
+ {%- endfor %}
163
+ {%- if add_generation_prompt %}
164
+ {{- '<|im_start|>assistant\n' }}
165
+ {%- if enable_thinking is defined and enable_thinking is false %}
166
+ {{- '<think>\n\n</think>\n\n' }}
167
+ {%- else %}
168
+ {{- '<think>\n' }}
169
+ {%- endif %}
170
+ {%- endif %}
config.json ADDED
@@ -0,0 +1,1814 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Qwen3_5ForConditionalGeneration"
4
+ ],
5
+ "image_token_id": 248056,
6
+ "language_model_only": false,
7
+ "model_type": "qwen3_5",
8
+ "text_config": {
9
+ "attention_bias": false,
10
+ "attention_dropout": 0.0,
11
+ "attn_output_gate": true,
12
+ "bos_token_id": 248044,
13
+ "dtype": "bfloat16",
14
+ "eos_token_id": 248044,
15
+ "full_attention_interval": 4,
16
+ "head_dim": 256,
17
+ "hidden_act": "silu",
18
+ "hidden_size": 5120,
19
+ "initializer_range": 0.02,
20
+ "intermediate_size": 17408,
21
+ "layer_types": [
22
+ "linear_attention",
23
+ "linear_attention",
24
+ "linear_attention",
25
+ "full_attention",
26
+ "linear_attention",
27
+ "linear_attention",
28
+ "linear_attention",
29
+ "full_attention",
30
+ "linear_attention",
31
+ "linear_attention",
32
+ "linear_attention",
33
+ "full_attention",
34
+ "linear_attention",
35
+ "linear_attention",
36
+ "linear_attention",
37
+ "full_attention",
38
+ "linear_attention",
39
+ "linear_attention",
40
+ "linear_attention",
41
+ "full_attention",
42
+ "linear_attention",
43
+ "linear_attention",
44
+ "linear_attention",
45
+ "full_attention",
46
+ "linear_attention",
47
+ "linear_attention",
48
+ "linear_attention",
49
+ "full_attention",
50
+ "linear_attention",
51
+ "linear_attention",
52
+ "linear_attention",
53
+ "full_attention",
54
+ "linear_attention",
55
+ "linear_attention",
56
+ "linear_attention",
57
+ "full_attention",
58
+ "linear_attention",
59
+ "linear_attention",
60
+ "linear_attention",
61
+ "full_attention",
62
+ "linear_attention",
63
+ "linear_attention",
64
+ "linear_attention",
65
+ "full_attention",
66
+ "linear_attention",
67
+ "linear_attention",
68
+ "linear_attention",
69
+ "full_attention",
70
+ "linear_attention",
71
+ "linear_attention",
72
+ "linear_attention",
73
+ "full_attention",
74
+ "linear_attention",
75
+ "linear_attention",
76
+ "linear_attention",
77
+ "full_attention",
78
+ "linear_attention",
79
+ "linear_attention",
80
+ "linear_attention",
81
+ "full_attention",
82
+ "linear_attention",
83
+ "linear_attention",
84
+ "linear_attention",
85
+ "full_attention"
86
+ ],
87
+ "linear_conv_kernel_dim": 4,
88
+ "linear_key_head_dim": 128,
89
+ "linear_num_key_heads": 16,
90
+ "linear_num_value_heads": 48,
91
+ "linear_value_head_dim": 128,
92
+ "mamba_ssm_dtype": "float32",
93
+ "max_position_embeddings": 262144,
94
+ "model_type": "qwen3_5_text",
95
+ "mtp_num_hidden_layers": 1,
96
+ "mtp_use_dedicated_embeddings": false,
97
+ "num_attention_heads": 24,
98
+ "num_hidden_layers": 64,
99
+ "num_key_value_heads": 4,
100
+ "output_gate_type": "swish",
101
+ "pad_token_id": null,
102
+ "partial_rotary_factor": 0.25,
103
+ "rms_norm_eps": 1e-06,
104
+ "rope_parameters": {
105
+ "mrope_interleaved": true,
106
+ "mrope_section": [
107
+ 11,
108
+ 11,
109
+ 10
110
+ ],
111
+ "partial_rotary_factor": 0.25,
112
+ "rope_theta": 10000000,
113
+ "type": "default"
114
+ },
115
+ "tie_word_embeddings": false,
116
+ "use_cache": true,
117
+ "vocab_size": 248320
118
+ },
119
+ "tie_word_embeddings": false,
120
+ "transformers_version": "5.8.0.dev0",
121
+ "video_token_id": 248057,
122
+ "vision_config": {
123
+ "deepstack_visual_indexes": [],
124
+ "depth": 27,
125
+ "hidden_act": "gelu_pytorch_tanh",
126
+ "hidden_size": 1152,
127
+ "in_channels": 3,
128
+ "initializer_range": 0.02,
129
+ "intermediate_size": 4304,
130
+ "model_type": "qwen3_5",
131
+ "num_heads": 16,
132
+ "num_position_embeddings": 2304,
133
+ "out_hidden_size": 5120,
134
+ "patch_size": 16,
135
+ "spatial_merge_size": 2,
136
+ "temporal_patch_size": 2
137
+ },
138
+ "vision_end_token_id": 248054,
139
+ "vision_start_token_id": 248053,
140
+ "eos_token_id": [
141
+ 248046,
142
+ 248044
143
+ ],
144
+ "quantization": {
145
+ "group_size": 64,
146
+ "bits": 4,
147
+ "mode": "affine",
148
+ "language_model.model.layers.0.linear_attn.in_proj_a": {
149
+ "bits": 5,
150
+ "group_size": 64,
151
+ "mode": "affine"
152
+ },
153
+ "language_model.model.layers.0.linear_attn.in_proj_b": {
154
+ "bits": 5,
155
+ "group_size": 64,
156
+ "mode": "affine"
157
+ },
158
+ "language_model.model.layers.0.linear_attn.in_proj_z": {
159
+ "bits": 5,
160
+ "group_size": 64,
161
+ "mode": "affine"
162
+ },
163
+ "language_model.model.layers.0.linear_attn.out_proj": {
164
+ "bits": 5,
165
+ "group_size": 64,
166
+ "mode": "affine"
167
+ },
168
+ "language_model.model.layers.0.mlp.down_proj": {
169
+ "bits": 5,
170
+ "group_size": 64,
171
+ "mode": "affine"
172
+ },
173
+ "language_model.model.layers.1.linear_attn.in_proj_a": {
174
+ "bits": 5,
175
+ "group_size": 64,
176
+ "mode": "affine"
177
+ },
178
+ "language_model.model.layers.1.linear_attn.in_proj_b": {
179
+ "bits": 5,
180
+ "group_size": 64,
181
+ "mode": "affine"
182
+ },
183
+ "language_model.model.layers.1.linear_attn.in_proj_z": {
184
+ "bits": 5,
185
+ "group_size": 64,
186
+ "mode": "affine"
187
+ },
188
+ "language_model.model.layers.1.linear_attn.out_proj": {
189
+ "bits": 5,
190
+ "group_size": 64,
191
+ "mode": "affine"
192
+ },
193
+ "language_model.model.layers.1.mlp.down_proj": {
194
+ "bits": 5,
195
+ "group_size": 64,
196
+ "mode": "affine"
197
+ },
198
+ "language_model.model.layers.2.linear_attn.in_proj_a": {
199
+ "bits": 5,
200
+ "group_size": 64,
201
+ "mode": "affine"
202
+ },
203
+ "language_model.model.layers.2.linear_attn.in_proj_b": {
204
+ "bits": 5,
205
+ "group_size": 64,
206
+ "mode": "affine"
207
+ },
208
+ "language_model.model.layers.2.linear_attn.in_proj_z": {
209
+ "bits": 5,
210
+ "group_size": 64,
211
+ "mode": "affine"
212
+ },
213
+ "language_model.model.layers.2.linear_attn.out_proj": {
214
+ "bits": 5,
215
+ "group_size": 64,
216
+ "mode": "affine"
217
+ },
218
+ "language_model.model.layers.2.mlp.down_proj": {
219
+ "bits": 5,
220
+ "group_size": 64,
221
+ "mode": "affine"
222
+ },
223
+ "language_model.model.layers.3.mlp.down_proj": {
224
+ "bits": 5,
225
+ "group_size": 64,
226
+ "mode": "affine"
227
+ },
228
+ "language_model.model.layers.3.self_attn.o_proj": {
229
+ "bits": 5,
230
+ "group_size": 64,
231
+ "mode": "affine"
232
+ },
233
+ "language_model.model.layers.4.linear_attn.in_proj_a": {
234
+ "bits": 5,
235
+ "group_size": 64,
236
+ "mode": "affine"
237
+ },
238
+ "language_model.model.layers.4.linear_attn.in_proj_b": {
239
+ "bits": 5,
240
+ "group_size": 64,
241
+ "mode": "affine"
242
+ },
243
+ "language_model.model.layers.4.linear_attn.in_proj_z": {
244
+ "bits": 5,
245
+ "group_size": 64,
246
+ "mode": "affine"
247
+ },
248
+ "language_model.model.layers.4.linear_attn.out_proj": {
249
+ "bits": 5,
250
+ "group_size": 64,
251
+ "mode": "affine"
252
+ },
253
+ "language_model.model.layers.4.mlp.down_proj": {
254
+ "bits": 5,
255
+ "group_size": 64,
256
+ "mode": "affine"
257
+ },
258
+ "language_model.model.layers.5.linear_attn.in_proj_a": {
259
+ "bits": 5,
260
+ "group_size": 64,
261
+ "mode": "affine"
262
+ },
263
+ "language_model.model.layers.5.linear_attn.in_proj_b": {
264
+ "bits": 5,
265
+ "group_size": 64,
266
+ "mode": "affine"
267
+ },
268
+ "language_model.model.layers.5.linear_attn.in_proj_z": {
269
+ "bits": 5,
270
+ "group_size": 64,
271
+ "mode": "affine"
272
+ },
273
+ "language_model.model.layers.5.linear_attn.out_proj": {
274
+ "bits": 5,
275
+ "group_size": 64,
276
+ "mode": "affine"
277
+ },
278
+ "language_model.model.layers.5.mlp.down_proj": {
279
+ "bits": 5,
280
+ "group_size": 64,
281
+ "mode": "affine"
282
+ },
283
+ "language_model.model.layers.6.linear_attn.in_proj_a": {
284
+ "bits": 5,
285
+ "group_size": 64,
286
+ "mode": "affine"
287
+ },
288
+ "language_model.model.layers.6.linear_attn.in_proj_b": {
289
+ "bits": 5,
290
+ "group_size": 64,
291
+ "mode": "affine"
292
+ },
293
+ "language_model.model.layers.6.linear_attn.in_proj_z": {
294
+ "bits": 5,
295
+ "group_size": 64,
296
+ "mode": "affine"
297
+ },
298
+ "language_model.model.layers.6.linear_attn.out_proj": {
299
+ "bits": 5,
300
+ "group_size": 64,
301
+ "mode": "affine"
302
+ },
303
+ "language_model.model.layers.6.mlp.down_proj": {
304
+ "bits": 5,
305
+ "group_size": 64,
306
+ "mode": "affine"
307
+ },
308
+ "language_model.model.layers.7.mlp.down_proj": {
309
+ "bits": 5,
310
+ "group_size": 64,
311
+ "mode": "affine"
312
+ },
313
+ "language_model.model.layers.7.self_attn.o_proj": {
314
+ "bits": 5,
315
+ "group_size": 64,
316
+ "mode": "affine"
317
+ },
318
+ "language_model.model.layers.10.linear_attn.in_proj_a": {
319
+ "bits": 5,
320
+ "group_size": 64,
321
+ "mode": "affine"
322
+ },
323
+ "language_model.model.layers.10.linear_attn.in_proj_b": {
324
+ "bits": 5,
325
+ "group_size": 64,
326
+ "mode": "affine"
327
+ },
328
+ "language_model.model.layers.10.linear_attn.in_proj_z": {
329
+ "bits": 5,
330
+ "group_size": 64,
331
+ "mode": "affine"
332
+ },
333
+ "language_model.model.layers.10.linear_attn.out_proj": {
334
+ "bits": 5,
335
+ "group_size": 64,
336
+ "mode": "affine"
337
+ },
338
+ "language_model.model.layers.10.mlp.down_proj": {
339
+ "bits": 5,
340
+ "group_size": 64,
341
+ "mode": "affine"
342
+ },
343
+ "language_model.model.layers.11.mlp.down_proj": {
344
+ "bits": 5,
345
+ "group_size": 64,
346
+ "mode": "affine"
347
+ },
348
+ "language_model.model.layers.11.self_attn.o_proj": {
349
+ "bits": 5,
350
+ "group_size": 64,
351
+ "mode": "affine"
352
+ },
353
+ "language_model.model.layers.12.linear_attn.in_proj_a": {
354
+ "bits": 5,
355
+ "group_size": 64,
356
+ "mode": "affine"
357
+ },
358
+ "language_model.model.layers.12.linear_attn.in_proj_b": {
359
+ "bits": 5,
360
+ "group_size": 64,
361
+ "mode": "affine"
362
+ },
363
+ "language_model.model.layers.12.linear_attn.in_proj_z": {
364
+ "bits": 5,
365
+ "group_size": 64,
366
+ "mode": "affine"
367
+ },
368
+ "language_model.model.layers.12.linear_attn.out_proj": {
369
+ "bits": 5,
370
+ "group_size": 64,
371
+ "mode": "affine"
372
+ },
373
+ "language_model.model.layers.12.mlp.down_proj": {
374
+ "bits": 5,
375
+ "group_size": 64,
376
+ "mode": "affine"
377
+ },
378
+ "language_model.model.layers.13.linear_attn.in_proj_a": {
379
+ "bits": 5,
380
+ "group_size": 64,
381
+ "mode": "affine"
382
+ },
383
+ "language_model.model.layers.13.linear_attn.in_proj_b": {
384
+ "bits": 5,
385
+ "group_size": 64,
386
+ "mode": "affine"
387
+ },
388
+ "language_model.model.layers.13.linear_attn.in_proj_z": {
389
+ "bits": 5,
390
+ "group_size": 64,
391
+ "mode": "affine"
392
+ },
393
+ "language_model.model.layers.13.linear_attn.out_proj": {
394
+ "bits": 5,
395
+ "group_size": 64,
396
+ "mode": "affine"
397
+ },
398
+ "language_model.model.layers.13.mlp.down_proj": {
399
+ "bits": 5,
400
+ "group_size": 64,
401
+ "mode": "affine"
402
+ },
403
+ "language_model.model.layers.14.linear_attn.in_proj_a": {
404
+ "bits": 5,
405
+ "group_size": 64,
406
+ "mode": "affine"
407
+ },
408
+ "language_model.model.layers.14.linear_attn.in_proj_b": {
409
+ "bits": 5,
410
+ "group_size": 64,
411
+ "mode": "affine"
412
+ },
413
+ "language_model.model.layers.14.linear_attn.in_proj_z": {
414
+ "bits": 5,
415
+ "group_size": 64,
416
+ "mode": "affine"
417
+ },
418
+ "language_model.model.layers.14.linear_attn.out_proj": {
419
+ "bits": 5,
420
+ "group_size": 64,
421
+ "mode": "affine"
422
+ },
423
+ "language_model.model.layers.14.mlp.down_proj": {
424
+ "bits": 5,
425
+ "group_size": 64,
426
+ "mode": "affine"
427
+ },
428
+ "language_model.model.layers.15.mlp.down_proj": {
429
+ "bits": 5,
430
+ "group_size": 64,
431
+ "mode": "affine"
432
+ },
433
+ "language_model.model.layers.15.self_attn.o_proj": {
434
+ "bits": 5,
435
+ "group_size": 64,
436
+ "mode": "affine"
437
+ },
438
+ "language_model.model.layers.8.linear_attn.in_proj_a": {
439
+ "bits": 5,
440
+ "group_size": 64,
441
+ "mode": "affine"
442
+ },
443
+ "language_model.model.layers.8.linear_attn.in_proj_b": {
444
+ "bits": 5,
445
+ "group_size": 64,
446
+ "mode": "affine"
447
+ },
448
+ "language_model.model.layers.8.linear_attn.in_proj_z": {
449
+ "bits": 5,
450
+ "group_size": 64,
451
+ "mode": "affine"
452
+ },
453
+ "language_model.model.layers.8.linear_attn.out_proj": {
454
+ "bits": 5,
455
+ "group_size": 64,
456
+ "mode": "affine"
457
+ },
458
+ "language_model.model.layers.8.mlp.down_proj": {
459
+ "bits": 5,
460
+ "group_size": 64,
461
+ "mode": "affine"
462
+ },
463
+ "language_model.model.layers.9.linear_attn.in_proj_a": {
464
+ "bits": 5,
465
+ "group_size": 64,
466
+ "mode": "affine"
467
+ },
468
+ "language_model.model.layers.9.linear_attn.in_proj_b": {
469
+ "bits": 5,
470
+ "group_size": 64,
471
+ "mode": "affine"
472
+ },
473
+ "language_model.model.layers.9.linear_attn.in_proj_z": {
474
+ "bits": 5,
475
+ "group_size": 64,
476
+ "mode": "affine"
477
+ },
478
+ "language_model.model.layers.9.linear_attn.out_proj": {
479
+ "bits": 5,
480
+ "group_size": 64,
481
+ "mode": "affine"
482
+ },
483
+ "language_model.model.layers.9.mlp.down_proj": {
484
+ "bits": 5,
485
+ "group_size": 64,
486
+ "mode": "affine"
487
+ },
488
+ "language_model.model.layers.16.linear_attn.in_proj_a": {
489
+ "bits": 5,
490
+ "group_size": 64,
491
+ "mode": "affine"
492
+ },
493
+ "language_model.model.layers.16.linear_attn.in_proj_b": {
494
+ "bits": 5,
495
+ "group_size": 64,
496
+ "mode": "affine"
497
+ },
498
+ "language_model.model.layers.16.linear_attn.in_proj_z": {
499
+ "bits": 5,
500
+ "group_size": 64,
501
+ "mode": "affine"
502
+ },
503
+ "language_model.model.layers.16.linear_attn.out_proj": {
504
+ "bits": 5,
505
+ "group_size": 64,
506
+ "mode": "affine"
507
+ },
508
+ "language_model.model.layers.16.mlp.down_proj": {
509
+ "bits": 5,
510
+ "group_size": 64,
511
+ "mode": "affine"
512
+ },
513
+ "language_model.model.layers.17.linear_attn.in_proj_a": {
514
+ "bits": 5,
515
+ "group_size": 64,
516
+ "mode": "affine"
517
+ },
518
+ "language_model.model.layers.17.linear_attn.in_proj_b": {
519
+ "bits": 5,
520
+ "group_size": 64,
521
+ "mode": "affine"
522
+ },
523
+ "language_model.model.layers.17.linear_attn.in_proj_z": {
524
+ "bits": 5,
525
+ "group_size": 64,
526
+ "mode": "affine"
527
+ },
528
+ "language_model.model.layers.17.linear_attn.out_proj": {
529
+ "bits": 5,
530
+ "group_size": 64,
531
+ "mode": "affine"
532
+ },
533
+ "language_model.model.layers.17.mlp.down_proj": {
534
+ "bits": 5,
535
+ "group_size": 64,
536
+ "mode": "affine"
537
+ },
538
+ "language_model.model.layers.18.linear_attn.in_proj_a": {
539
+ "bits": 5,
540
+ "group_size": 64,
541
+ "mode": "affine"
542
+ },
543
+ "language_model.model.layers.18.linear_attn.in_proj_b": {
544
+ "bits": 5,
545
+ "group_size": 64,
546
+ "mode": "affine"
547
+ },
548
+ "language_model.model.layers.18.linear_attn.in_proj_z": {
549
+ "bits": 5,
550
+ "group_size": 64,
551
+ "mode": "affine"
552
+ },
553
+ "language_model.model.layers.18.linear_attn.out_proj": {
554
+ "bits": 5,
555
+ "group_size": 64,
556
+ "mode": "affine"
557
+ },
558
+ "language_model.model.layers.18.mlp.down_proj": {
559
+ "bits": 5,
560
+ "group_size": 64,
561
+ "mode": "affine"
562
+ },
563
+ "language_model.model.layers.19.mlp.down_proj": {
564
+ "bits": 5,
565
+ "group_size": 64,
566
+ "mode": "affine"
567
+ },
568
+ "language_model.model.layers.19.self_attn.o_proj": {
569
+ "bits": 5,
570
+ "group_size": 64,
571
+ "mode": "affine"
572
+ },
573
+ "language_model.model.layers.20.linear_attn.in_proj_a": {
574
+ "bits": 5,
575
+ "group_size": 64,
576
+ "mode": "affine"
577
+ },
578
+ "language_model.model.layers.20.linear_attn.in_proj_b": {
579
+ "bits": 5,
580
+ "group_size": 64,
581
+ "mode": "affine"
582
+ },
583
+ "language_model.model.layers.20.linear_attn.in_proj_z": {
584
+ "bits": 5,
585
+ "group_size": 64,
586
+ "mode": "affine"
587
+ },
588
+ "language_model.model.layers.20.linear_attn.out_proj": {
589
+ "bits": 5,
590
+ "group_size": 64,
591
+ "mode": "affine"
592
+ },
593
+ "language_model.model.layers.20.mlp.down_proj": {
594
+ "bits": 5,
595
+ "group_size": 64,
596
+ "mode": "affine"
597
+ },
598
+ "language_model.model.layers.21.linear_attn.in_proj_a": {
599
+ "bits": 5,
600
+ "group_size": 64,
601
+ "mode": "affine"
602
+ },
603
+ "language_model.model.layers.21.linear_attn.in_proj_b": {
604
+ "bits": 5,
605
+ "group_size": 64,
606
+ "mode": "affine"
607
+ },
608
+ "language_model.model.layers.21.linear_attn.in_proj_z": {
609
+ "bits": 5,
610
+ "group_size": 64,
611
+ "mode": "affine"
612
+ },
613
+ "language_model.model.layers.21.linear_attn.out_proj": {
614
+ "bits": 5,
615
+ "group_size": 64,
616
+ "mode": "affine"
617
+ },
618
+ "language_model.model.layers.21.mlp.down_proj": {
619
+ "bits": 5,
620
+ "group_size": 64,
621
+ "mode": "affine"
622
+ },
623
+ "language_model.model.layers.22.linear_attn.in_proj_a": {
624
+ "bits": 5,
625
+ "group_size": 64,
626
+ "mode": "affine"
627
+ },
628
+ "language_model.model.layers.22.linear_attn.in_proj_b": {
629
+ "bits": 5,
630
+ "group_size": 64,
631
+ "mode": "affine"
632
+ },
633
+ "language_model.model.layers.22.linear_attn.in_proj_z": {
634
+ "bits": 5,
635
+ "group_size": 64,
636
+ "mode": "affine"
637
+ },
638
+ "language_model.model.layers.22.linear_attn.out_proj": {
639
+ "bits": 5,
640
+ "group_size": 64,
641
+ "mode": "affine"
642
+ },
643
+ "language_model.model.layers.22.mlp.down_proj": {
644
+ "bits": 5,
645
+ "group_size": 64,
646
+ "mode": "affine"
647
+ },
648
+ "language_model.model.layers.23.mlp.down_proj": {
649
+ "bits": 5,
650
+ "group_size": 64,
651
+ "mode": "affine"
652
+ },
653
+ "language_model.model.layers.23.self_attn.o_proj": {
654
+ "bits": 5,
655
+ "group_size": 64,
656
+ "mode": "affine"
657
+ },
658
+ "language_model.model.layers.24.linear_attn.in_proj_a": {
659
+ "bits": 5,
660
+ "group_size": 64,
661
+ "mode": "affine"
662
+ },
663
+ "language_model.model.layers.24.linear_attn.in_proj_b": {
664
+ "bits": 5,
665
+ "group_size": 64,
666
+ "mode": "affine"
667
+ },
668
+ "language_model.model.layers.24.linear_attn.in_proj_z": {
669
+ "bits": 5,
670
+ "group_size": 64,
671
+ "mode": "affine"
672
+ },
673
+ "language_model.model.layers.24.linear_attn.out_proj": {
674
+ "bits": 5,
675
+ "group_size": 64,
676
+ "mode": "affine"
677
+ },
678
+ "language_model.model.layers.24.mlp.down_proj": {
679
+ "bits": 5,
680
+ "group_size": 64,
681
+ "mode": "affine"
682
+ },
683
+ "language_model.model.layers.25.linear_attn.in_proj_a": {
684
+ "bits": 5,
685
+ "group_size": 64,
686
+ "mode": "affine"
687
+ },
688
+ "language_model.model.layers.25.linear_attn.in_proj_b": {
689
+ "bits": 5,
690
+ "group_size": 64,
691
+ "mode": "affine"
692
+ },
693
+ "language_model.model.layers.25.linear_attn.in_proj_z": {
694
+ "bits": 5,
695
+ "group_size": 64,
696
+ "mode": "affine"
697
+ },
698
+ "language_model.model.layers.25.linear_attn.out_proj": {
699
+ "bits": 5,
700
+ "group_size": 64,
701
+ "mode": "affine"
702
+ },
703
+ "language_model.model.layers.25.mlp.down_proj": {
704
+ "bits": 5,
705
+ "group_size": 64,
706
+ "mode": "affine"
707
+ },
708
+ "language_model.model.layers.26.linear_attn.in_proj_a": {
709
+ "bits": 5,
710
+ "group_size": 64,
711
+ "mode": "affine"
712
+ },
713
+ "language_model.model.layers.26.linear_attn.in_proj_b": {
714
+ "bits": 5,
715
+ "group_size": 64,
716
+ "mode": "affine"
717
+ },
718
+ "language_model.model.layers.26.linear_attn.in_proj_z": {
719
+ "bits": 5,
720
+ "group_size": 64,
721
+ "mode": "affine"
722
+ },
723
+ "language_model.model.layers.26.linear_attn.out_proj": {
724
+ "bits": 5,
725
+ "group_size": 64,
726
+ "mode": "affine"
727
+ },
728
+ "language_model.model.layers.26.mlp.down_proj": {
729
+ "bits": 5,
730
+ "group_size": 64,
731
+ "mode": "affine"
732
+ },
733
+ "language_model.model.layers.27.self_attn.k_proj": {
734
+ "bits": 5,
735
+ "group_size": 64,
736
+ "mode": "affine"
737
+ },
738
+ "language_model.model.layers.27.self_attn.o_proj": {
739
+ "bits": 5,
740
+ "group_size": 64,
741
+ "mode": "affine"
742
+ },
743
+ "language_model.model.layers.28.linear_attn.in_proj_a": {
744
+ "bits": 5,
745
+ "group_size": 64,
746
+ "mode": "affine"
747
+ },
748
+ "language_model.model.layers.28.linear_attn.in_proj_b": {
749
+ "bits": 5,
750
+ "group_size": 64,
751
+ "mode": "affine"
752
+ },
753
+ "language_model.model.layers.28.linear_attn.out_proj": {
754
+ "bits": 5,
755
+ "group_size": 64,
756
+ "mode": "affine"
757
+ },
758
+ "language_model.model.layers.29.linear_attn.in_proj_a": {
759
+ "bits": 5,
760
+ "group_size": 64,
761
+ "mode": "affine"
762
+ },
763
+ "language_model.model.layers.29.linear_attn.in_proj_b": {
764
+ "bits": 5,
765
+ "group_size": 64,
766
+ "mode": "affine"
767
+ },
768
+ "language_model.model.layers.29.linear_attn.out_proj": {
769
+ "bits": 5,
770
+ "group_size": 64,
771
+ "mode": "affine"
772
+ },
773
+ "language_model.model.layers.30.linear_attn.in_proj_a": {
774
+ "bits": 5,
775
+ "group_size": 64,
776
+ "mode": "affine"
777
+ },
778
+ "language_model.model.layers.30.linear_attn.in_proj_b": {
779
+ "bits": 5,
780
+ "group_size": 64,
781
+ "mode": "affine"
782
+ },
783
+ "language_model.model.layers.30.linear_attn.out_proj": {
784
+ "bits": 5,
785
+ "group_size": 64,
786
+ "mode": "affine"
787
+ },
788
+ "language_model.model.layers.31.self_attn.k_proj": {
789
+ "bits": 5,
790
+ "group_size": 64,
791
+ "mode": "affine"
792
+ },
793
+ "language_model.model.layers.32.linear_attn.in_proj_a": {
794
+ "bits": 5,
795
+ "group_size": 64,
796
+ "mode": "affine"
797
+ },
798
+ "language_model.model.layers.32.linear_attn.in_proj_b": {
799
+ "bits": 5,
800
+ "group_size": 64,
801
+ "mode": "affine"
802
+ },
803
+ "language_model.model.layers.32.linear_attn.out_proj": {
804
+ "bits": 5,
805
+ "group_size": 64,
806
+ "mode": "affine"
807
+ },
808
+ "language_model.model.layers.33.linear_attn.in_proj_a": {
809
+ "bits": 5,
810
+ "group_size": 64,
811
+ "mode": "affine"
812
+ },
813
+ "language_model.model.layers.33.linear_attn.in_proj_b": {
814
+ "bits": 5,
815
+ "group_size": 64,
816
+ "mode": "affine"
817
+ },
818
+ "language_model.model.layers.33.linear_attn.out_proj": {
819
+ "bits": 5,
820
+ "group_size": 64,
821
+ "mode": "affine"
822
+ },
823
+ "language_model.model.layers.34.linear_attn.in_proj_a": {
824
+ "bits": 5,
825
+ "group_size": 64,
826
+ "mode": "affine"
827
+ },
828
+ "language_model.model.layers.34.linear_attn.in_proj_b": {
829
+ "bits": 5,
830
+ "group_size": 64,
831
+ "mode": "affine"
832
+ },
833
+ "language_model.model.layers.34.linear_attn.out_proj": {
834
+ "bits": 5,
835
+ "group_size": 64,
836
+ "mode": "affine"
837
+ },
838
+ "language_model.model.layers.36.linear_attn.in_proj_a": {
839
+ "bits": 5,
840
+ "group_size": 64,
841
+ "mode": "affine"
842
+ },
843
+ "language_model.model.layers.36.linear_attn.in_proj_b": {
844
+ "bits": 5,
845
+ "group_size": 64,
846
+ "mode": "affine"
847
+ },
848
+ "language_model.model.layers.36.linear_attn.out_proj": {
849
+ "bits": 5,
850
+ "group_size": 64,
851
+ "mode": "affine"
852
+ },
853
+ "language_model.model.layers.37.linear_attn.in_proj_a": {
854
+ "bits": 5,
855
+ "group_size": 64,
856
+ "mode": "affine"
857
+ },
858
+ "language_model.model.layers.37.linear_attn.in_proj_b": {
859
+ "bits": 5,
860
+ "group_size": 64,
861
+ "mode": "affine"
862
+ },
863
+ "language_model.model.layers.37.linear_attn.out_proj": {
864
+ "bits": 5,
865
+ "group_size": 64,
866
+ "mode": "affine"
867
+ },
868
+ "language_model.model.layers.38.linear_attn.in_proj_a": {
869
+ "bits": 5,
870
+ "group_size": 64,
871
+ "mode": "affine"
872
+ },
873
+ "language_model.model.layers.38.linear_attn.in_proj_b": {
874
+ "bits": 5,
875
+ "group_size": 64,
876
+ "mode": "affine"
877
+ },
878
+ "language_model.model.layers.38.linear_attn.out_proj": {
879
+ "bits": 5,
880
+ "group_size": 64,
881
+ "mode": "affine"
882
+ },
883
+ "language_model.model.layers.40.linear_attn.in_proj_a": {
884
+ "bits": 5,
885
+ "group_size": 64,
886
+ "mode": "affine"
887
+ },
888
+ "language_model.model.layers.40.linear_attn.out_proj": {
889
+ "bits": 5,
890
+ "group_size": 64,
891
+ "mode": "affine"
892
+ },
893
+ "language_model.model.layers.41.linear_attn.out_proj": {
894
+ "bits": 5,
895
+ "group_size": 64,
896
+ "mode": "affine"
897
+ },
898
+ "language_model.model.layers.42.linear_attn.out_proj": {
899
+ "bits": 5,
900
+ "group_size": 64,
901
+ "mode": "affine"
902
+ },
903
+ "language_model.model.layers.44.linear_attn.out_proj": {
904
+ "bits": 5,
905
+ "group_size": 64,
906
+ "mode": "affine"
907
+ },
908
+ "language_model.model.layers.45.linear_attn.out_proj": {
909
+ "bits": 5,
910
+ "group_size": 64,
911
+ "mode": "affine"
912
+ },
913
+ "language_model.model.layers.46.linear_attn.out_proj": {
914
+ "bits": 5,
915
+ "group_size": 64,
916
+ "mode": "affine"
917
+ },
918
+ "language_model.model.layers.48.linear_attn.out_proj": {
919
+ "bits": 5,
920
+ "group_size": 64,
921
+ "mode": "affine"
922
+ },
923
+ "language_model.model.layers.49.linear_attn.out_proj": {
924
+ "bits": 5,
925
+ "group_size": 64,
926
+ "mode": "affine"
927
+ },
928
+ "language_model.model.layers.50.linear_attn.out_proj": {
929
+ "bits": 5,
930
+ "group_size": 64,
931
+ "mode": "affine"
932
+ },
933
+ "language_model.model.layers.52.linear_attn.out_proj": {
934
+ "bits": 5,
935
+ "group_size": 64,
936
+ "mode": "affine"
937
+ },
938
+ "language_model.model.layers.53.linear_attn.out_proj": {
939
+ "bits": 5,
940
+ "group_size": 64,
941
+ "mode": "affine"
942
+ },
943
+ "language_model.model.layers.54.linear_attn.out_proj": {
944
+ "bits": 5,
945
+ "group_size": 64,
946
+ "mode": "affine"
947
+ },
948
+ "language_model.model.layers.56.linear_attn.out_proj": {
949
+ "bits": 5,
950
+ "group_size": 64,
951
+ "mode": "affine"
952
+ },
953
+ "language_model.model.layers.57.linear_attn.out_proj": {
954
+ "bits": 5,
955
+ "group_size": 64,
956
+ "mode": "affine"
957
+ },
958
+ "language_model.model.layers.58.linear_attn.out_proj": {
959
+ "bits": 5,
960
+ "group_size": 64,
961
+ "mode": "affine"
962
+ },
963
+ "language_model.model.layers.60.linear_attn.out_proj": {
964
+ "bits": 5,
965
+ "group_size": 64,
966
+ "mode": "affine"
967
+ },
968
+ "language_model.model.layers.61.linear_attn.out_proj": {
969
+ "bits": 5,
970
+ "group_size": 64,
971
+ "mode": "affine"
972
+ },
973
+ "language_model.model.layers.62.linear_attn.out_proj": {
974
+ "bits": 5,
975
+ "group_size": 64,
976
+ "mode": "affine"
977
+ }
978
+ },
979
+ "quantization_config": {
980
+ "group_size": 64,
981
+ "bits": 4,
982
+ "mode": "affine",
983
+ "language_model.model.layers.0.linear_attn.in_proj_a": {
984
+ "bits": 5,
985
+ "group_size": 64,
986
+ "mode": "affine"
987
+ },
988
+ "language_model.model.layers.0.linear_attn.in_proj_b": {
989
+ "bits": 5,
990
+ "group_size": 64,
991
+ "mode": "affine"
992
+ },
993
+ "language_model.model.layers.0.linear_attn.in_proj_z": {
994
+ "bits": 5,
995
+ "group_size": 64,
996
+ "mode": "affine"
997
+ },
998
+ "language_model.model.layers.0.linear_attn.out_proj": {
999
+ "bits": 5,
1000
+ "group_size": 64,
1001
+ "mode": "affine"
1002
+ },
1003
+ "language_model.model.layers.0.mlp.down_proj": {
1004
+ "bits": 5,
1005
+ "group_size": 64,
1006
+ "mode": "affine"
1007
+ },
1008
+ "language_model.model.layers.1.linear_attn.in_proj_a": {
1009
+ "bits": 5,
1010
+ "group_size": 64,
1011
+ "mode": "affine"
1012
+ },
1013
+ "language_model.model.layers.1.linear_attn.in_proj_b": {
1014
+ "bits": 5,
1015
+ "group_size": 64,
1016
+ "mode": "affine"
1017
+ },
1018
+ "language_model.model.layers.1.linear_attn.in_proj_z": {
1019
+ "bits": 5,
1020
+ "group_size": 64,
1021
+ "mode": "affine"
1022
+ },
1023
+ "language_model.model.layers.1.linear_attn.out_proj": {
1024
+ "bits": 5,
1025
+ "group_size": 64,
1026
+ "mode": "affine"
1027
+ },
1028
+ "language_model.model.layers.1.mlp.down_proj": {
1029
+ "bits": 5,
1030
+ "group_size": 64,
1031
+ "mode": "affine"
1032
+ },
1033
+ "language_model.model.layers.2.linear_attn.in_proj_a": {
1034
+ "bits": 5,
1035
+ "group_size": 64,
1036
+ "mode": "affine"
1037
+ },
1038
+ "language_model.model.layers.2.linear_attn.in_proj_b": {
1039
+ "bits": 5,
1040
+ "group_size": 64,
1041
+ "mode": "affine"
1042
+ },
1043
+ "language_model.model.layers.2.linear_attn.in_proj_z": {
1044
+ "bits": 5,
1045
+ "group_size": 64,
1046
+ "mode": "affine"
1047
+ },
1048
+ "language_model.model.layers.2.linear_attn.out_proj": {
1049
+ "bits": 5,
1050
+ "group_size": 64,
1051
+ "mode": "affine"
1052
+ },
1053
+ "language_model.model.layers.2.mlp.down_proj": {
1054
+ "bits": 5,
1055
+ "group_size": 64,
1056
+ "mode": "affine"
1057
+ },
1058
+ "language_model.model.layers.3.mlp.down_proj": {
1059
+ "bits": 5,
1060
+ "group_size": 64,
1061
+ "mode": "affine"
1062
+ },
1063
+ "language_model.model.layers.3.self_attn.o_proj": {
1064
+ "bits": 5,
1065
+ "group_size": 64,
1066
+ "mode": "affine"
1067
+ },
1068
+ "language_model.model.layers.4.linear_attn.in_proj_a": {
1069
+ "bits": 5,
1070
+ "group_size": 64,
1071
+ "mode": "affine"
1072
+ },
1073
+ "language_model.model.layers.4.linear_attn.in_proj_b": {
1074
+ "bits": 5,
1075
+ "group_size": 64,
1076
+ "mode": "affine"
1077
+ },
1078
+ "language_model.model.layers.4.linear_attn.in_proj_z": {
1079
+ "bits": 5,
1080
+ "group_size": 64,
1081
+ "mode": "affine"
1082
+ },
1083
+ "language_model.model.layers.4.linear_attn.out_proj": {
1084
+ "bits": 5,
1085
+ "group_size": 64,
1086
+ "mode": "affine"
1087
+ },
1088
+ "language_model.model.layers.4.mlp.down_proj": {
1089
+ "bits": 5,
1090
+ "group_size": 64,
1091
+ "mode": "affine"
1092
+ },
1093
+ "language_model.model.layers.5.linear_attn.in_proj_a": {
1094
+ "bits": 5,
1095
+ "group_size": 64,
1096
+ "mode": "affine"
1097
+ },
1098
+ "language_model.model.layers.5.linear_attn.in_proj_b": {
1099
+ "bits": 5,
1100
+ "group_size": 64,
1101
+ "mode": "affine"
1102
+ },
1103
+ "language_model.model.layers.5.linear_attn.in_proj_z": {
1104
+ "bits": 5,
1105
+ "group_size": 64,
1106
+ "mode": "affine"
1107
+ },
1108
+ "language_model.model.layers.5.linear_attn.out_proj": {
1109
+ "bits": 5,
1110
+ "group_size": 64,
1111
+ "mode": "affine"
1112
+ },
1113
+ "language_model.model.layers.5.mlp.down_proj": {
1114
+ "bits": 5,
1115
+ "group_size": 64,
1116
+ "mode": "affine"
1117
+ },
1118
+ "language_model.model.layers.6.linear_attn.in_proj_a": {
1119
+ "bits": 5,
1120
+ "group_size": 64,
1121
+ "mode": "affine"
1122
+ },
1123
+ "language_model.model.layers.6.linear_attn.in_proj_b": {
1124
+ "bits": 5,
1125
+ "group_size": 64,
1126
+ "mode": "affine"
1127
+ },
1128
+ "language_model.model.layers.6.linear_attn.in_proj_z": {
1129
+ "bits": 5,
1130
+ "group_size": 64,
1131
+ "mode": "affine"
1132
+ },
1133
+ "language_model.model.layers.6.linear_attn.out_proj": {
1134
+ "bits": 5,
1135
+ "group_size": 64,
1136
+ "mode": "affine"
1137
+ },
1138
+ "language_model.model.layers.6.mlp.down_proj": {
1139
+ "bits": 5,
1140
+ "group_size": 64,
1141
+ "mode": "affine"
1142
+ },
1143
+ "language_model.model.layers.7.mlp.down_proj": {
1144
+ "bits": 5,
1145
+ "group_size": 64,
1146
+ "mode": "affine"
1147
+ },
1148
+ "language_model.model.layers.7.self_attn.o_proj": {
1149
+ "bits": 5,
1150
+ "group_size": 64,
1151
+ "mode": "affine"
1152
+ },
1153
+ "language_model.model.layers.10.linear_attn.in_proj_a": {
1154
+ "bits": 5,
1155
+ "group_size": 64,
1156
+ "mode": "affine"
1157
+ },
1158
+ "language_model.model.layers.10.linear_attn.in_proj_b": {
1159
+ "bits": 5,
1160
+ "group_size": 64,
1161
+ "mode": "affine"
1162
+ },
1163
+ "language_model.model.layers.10.linear_attn.in_proj_z": {
1164
+ "bits": 5,
1165
+ "group_size": 64,
1166
+ "mode": "affine"
1167
+ },
1168
+ "language_model.model.layers.10.linear_attn.out_proj": {
1169
+ "bits": 5,
1170
+ "group_size": 64,
1171
+ "mode": "affine"
1172
+ },
1173
+ "language_model.model.layers.10.mlp.down_proj": {
1174
+ "bits": 5,
1175
+ "group_size": 64,
1176
+ "mode": "affine"
1177
+ },
1178
+ "language_model.model.layers.11.mlp.down_proj": {
1179
+ "bits": 5,
1180
+ "group_size": 64,
1181
+ "mode": "affine"
1182
+ },
1183
+ "language_model.model.layers.11.self_attn.o_proj": {
1184
+ "bits": 5,
1185
+ "group_size": 64,
1186
+ "mode": "affine"
1187
+ },
1188
+ "language_model.model.layers.12.linear_attn.in_proj_a": {
1189
+ "bits": 5,
1190
+ "group_size": 64,
1191
+ "mode": "affine"
1192
+ },
1193
+ "language_model.model.layers.12.linear_attn.in_proj_b": {
1194
+ "bits": 5,
1195
+ "group_size": 64,
1196
+ "mode": "affine"
1197
+ },
1198
+ "language_model.model.layers.12.linear_attn.in_proj_z": {
1199
+ "bits": 5,
1200
+ "group_size": 64,
1201
+ "mode": "affine"
1202
+ },
1203
+ "language_model.model.layers.12.linear_attn.out_proj": {
1204
+ "bits": 5,
1205
+ "group_size": 64,
1206
+ "mode": "affine"
1207
+ },
1208
+ "language_model.model.layers.12.mlp.down_proj": {
1209
+ "bits": 5,
1210
+ "group_size": 64,
1211
+ "mode": "affine"
1212
+ },
1213
+ "language_model.model.layers.13.linear_attn.in_proj_a": {
1214
+ "bits": 5,
1215
+ "group_size": 64,
1216
+ "mode": "affine"
1217
+ },
1218
+ "language_model.model.layers.13.linear_attn.in_proj_b": {
1219
+ "bits": 5,
1220
+ "group_size": 64,
1221
+ "mode": "affine"
1222
+ },
1223
+ "language_model.model.layers.13.linear_attn.in_proj_z": {
1224
+ "bits": 5,
1225
+ "group_size": 64,
1226
+ "mode": "affine"
1227
+ },
1228
+ "language_model.model.layers.13.linear_attn.out_proj": {
1229
+ "bits": 5,
1230
+ "group_size": 64,
1231
+ "mode": "affine"
1232
+ },
1233
+ "language_model.model.layers.13.mlp.down_proj": {
1234
+ "bits": 5,
1235
+ "group_size": 64,
1236
+ "mode": "affine"
1237
+ },
1238
+ "language_model.model.layers.14.linear_attn.in_proj_a": {
1239
+ "bits": 5,
1240
+ "group_size": 64,
1241
+ "mode": "affine"
1242
+ },
1243
+ "language_model.model.layers.14.linear_attn.in_proj_b": {
1244
+ "bits": 5,
1245
+ "group_size": 64,
1246
+ "mode": "affine"
1247
+ },
1248
+ "language_model.model.layers.14.linear_attn.in_proj_z": {
1249
+ "bits": 5,
1250
+ "group_size": 64,
1251
+ "mode": "affine"
1252
+ },
1253
+ "language_model.model.layers.14.linear_attn.out_proj": {
1254
+ "bits": 5,
1255
+ "group_size": 64,
1256
+ "mode": "affine"
1257
+ },
1258
+ "language_model.model.layers.14.mlp.down_proj": {
1259
+ "bits": 5,
1260
+ "group_size": 64,
1261
+ "mode": "affine"
1262
+ },
1263
+ "language_model.model.layers.15.mlp.down_proj": {
1264
+ "bits": 5,
1265
+ "group_size": 64,
1266
+ "mode": "affine"
1267
+ },
1268
+ "language_model.model.layers.15.self_attn.o_proj": {
1269
+ "bits": 5,
1270
+ "group_size": 64,
1271
+ "mode": "affine"
1272
+ },
1273
+ "language_model.model.layers.8.linear_attn.in_proj_a": {
1274
+ "bits": 5,
1275
+ "group_size": 64,
1276
+ "mode": "affine"
1277
+ },
1278
+ "language_model.model.layers.8.linear_attn.in_proj_b": {
1279
+ "bits": 5,
1280
+ "group_size": 64,
1281
+ "mode": "affine"
1282
+ },
1283
+ "language_model.model.layers.8.linear_attn.in_proj_z": {
1284
+ "bits": 5,
1285
+ "group_size": 64,
1286
+ "mode": "affine"
1287
+ },
1288
+ "language_model.model.layers.8.linear_attn.out_proj": {
1289
+ "bits": 5,
1290
+ "group_size": 64,
1291
+ "mode": "affine"
1292
+ },
1293
+ "language_model.model.layers.8.mlp.down_proj": {
1294
+ "bits": 5,
1295
+ "group_size": 64,
1296
+ "mode": "affine"
1297
+ },
1298
+ "language_model.model.layers.9.linear_attn.in_proj_a": {
1299
+ "bits": 5,
1300
+ "group_size": 64,
1301
+ "mode": "affine"
1302
+ },
1303
+ "language_model.model.layers.9.linear_attn.in_proj_b": {
1304
+ "bits": 5,
1305
+ "group_size": 64,
1306
+ "mode": "affine"
1307
+ },
1308
+ "language_model.model.layers.9.linear_attn.in_proj_z": {
1309
+ "bits": 5,
1310
+ "group_size": 64,
1311
+ "mode": "affine"
1312
+ },
1313
+ "language_model.model.layers.9.linear_attn.out_proj": {
1314
+ "bits": 5,
1315
+ "group_size": 64,
1316
+ "mode": "affine"
1317
+ },
1318
+ "language_model.model.layers.9.mlp.down_proj": {
1319
+ "bits": 5,
1320
+ "group_size": 64,
1321
+ "mode": "affine"
1322
+ },
1323
+ "language_model.model.layers.16.linear_attn.in_proj_a": {
1324
+ "bits": 5,
1325
+ "group_size": 64,
1326
+ "mode": "affine"
1327
+ },
1328
+ "language_model.model.layers.16.linear_attn.in_proj_b": {
1329
+ "bits": 5,
1330
+ "group_size": 64,
1331
+ "mode": "affine"
1332
+ },
1333
+ "language_model.model.layers.16.linear_attn.in_proj_z": {
1334
+ "bits": 5,
1335
+ "group_size": 64,
1336
+ "mode": "affine"
1337
+ },
1338
+ "language_model.model.layers.16.linear_attn.out_proj": {
1339
+ "bits": 5,
1340
+ "group_size": 64,
1341
+ "mode": "affine"
1342
+ },
1343
+ "language_model.model.layers.16.mlp.down_proj": {
1344
+ "bits": 5,
1345
+ "group_size": 64,
1346
+ "mode": "affine"
1347
+ },
1348
+ "language_model.model.layers.17.linear_attn.in_proj_a": {
1349
+ "bits": 5,
1350
+ "group_size": 64,
1351
+ "mode": "affine"
1352
+ },
1353
+ "language_model.model.layers.17.linear_attn.in_proj_b": {
1354
+ "bits": 5,
1355
+ "group_size": 64,
1356
+ "mode": "affine"
1357
+ },
1358
+ "language_model.model.layers.17.linear_attn.in_proj_z": {
1359
+ "bits": 5,
1360
+ "group_size": 64,
1361
+ "mode": "affine"
1362
+ },
1363
+ "language_model.model.layers.17.linear_attn.out_proj": {
1364
+ "bits": 5,
1365
+ "group_size": 64,
1366
+ "mode": "affine"
1367
+ },
1368
+ "language_model.model.layers.17.mlp.down_proj": {
1369
+ "bits": 5,
1370
+ "group_size": 64,
1371
+ "mode": "affine"
1372
+ },
1373
+ "language_model.model.layers.18.linear_attn.in_proj_a": {
1374
+ "bits": 5,
1375
+ "group_size": 64,
1376
+ "mode": "affine"
1377
+ },
1378
+ "language_model.model.layers.18.linear_attn.in_proj_b": {
1379
+ "bits": 5,
1380
+ "group_size": 64,
1381
+ "mode": "affine"
1382
+ },
1383
+ "language_model.model.layers.18.linear_attn.in_proj_z": {
1384
+ "bits": 5,
1385
+ "group_size": 64,
1386
+ "mode": "affine"
1387
+ },
1388
+ "language_model.model.layers.18.linear_attn.out_proj": {
1389
+ "bits": 5,
1390
+ "group_size": 64,
1391
+ "mode": "affine"
1392
+ },
1393
+ "language_model.model.layers.18.mlp.down_proj": {
1394
+ "bits": 5,
1395
+ "group_size": 64,
1396
+ "mode": "affine"
1397
+ },
1398
+ "language_model.model.layers.19.mlp.down_proj": {
1399
+ "bits": 5,
1400
+ "group_size": 64,
1401
+ "mode": "affine"
1402
+ },
1403
+ "language_model.model.layers.19.self_attn.o_proj": {
1404
+ "bits": 5,
1405
+ "group_size": 64,
1406
+ "mode": "affine"
1407
+ },
1408
+ "language_model.model.layers.20.linear_attn.in_proj_a": {
1409
+ "bits": 5,
1410
+ "group_size": 64,
1411
+ "mode": "affine"
1412
+ },
1413
+ "language_model.model.layers.20.linear_attn.in_proj_b": {
1414
+ "bits": 5,
1415
+ "group_size": 64,
1416
+ "mode": "affine"
1417
+ },
1418
+ "language_model.model.layers.20.linear_attn.in_proj_z": {
1419
+ "bits": 5,
1420
+ "group_size": 64,
1421
+ "mode": "affine"
1422
+ },
1423
+ "language_model.model.layers.20.linear_attn.out_proj": {
1424
+ "bits": 5,
1425
+ "group_size": 64,
1426
+ "mode": "affine"
1427
+ },
1428
+ "language_model.model.layers.20.mlp.down_proj": {
1429
+ "bits": 5,
1430
+ "group_size": 64,
1431
+ "mode": "affine"
1432
+ },
1433
+ "language_model.model.layers.21.linear_attn.in_proj_a": {
1434
+ "bits": 5,
1435
+ "group_size": 64,
1436
+ "mode": "affine"
1437
+ },
1438
+ "language_model.model.layers.21.linear_attn.in_proj_b": {
1439
+ "bits": 5,
1440
+ "group_size": 64,
1441
+ "mode": "affine"
1442
+ },
1443
+ "language_model.model.layers.21.linear_attn.in_proj_z": {
1444
+ "bits": 5,
1445
+ "group_size": 64,
1446
+ "mode": "affine"
1447
+ },
1448
+ "language_model.model.layers.21.linear_attn.out_proj": {
1449
+ "bits": 5,
1450
+ "group_size": 64,
1451
+ "mode": "affine"
1452
+ },
1453
+ "language_model.model.layers.21.mlp.down_proj": {
1454
+ "bits": 5,
1455
+ "group_size": 64,
1456
+ "mode": "affine"
1457
+ },
1458
+ "language_model.model.layers.22.linear_attn.in_proj_a": {
1459
+ "bits": 5,
1460
+ "group_size": 64,
1461
+ "mode": "affine"
1462
+ },
1463
+ "language_model.model.layers.22.linear_attn.in_proj_b": {
1464
+ "bits": 5,
1465
+ "group_size": 64,
1466
+ "mode": "affine"
1467
+ },
1468
+ "language_model.model.layers.22.linear_attn.in_proj_z": {
1469
+ "bits": 5,
1470
+ "group_size": 64,
1471
+ "mode": "affine"
1472
+ },
1473
+ "language_model.model.layers.22.linear_attn.out_proj": {
1474
+ "bits": 5,
1475
+ "group_size": 64,
1476
+ "mode": "affine"
1477
+ },
1478
+ "language_model.model.layers.22.mlp.down_proj": {
1479
+ "bits": 5,
1480
+ "group_size": 64,
1481
+ "mode": "affine"
1482
+ },
1483
+ "language_model.model.layers.23.mlp.down_proj": {
1484
+ "bits": 5,
1485
+ "group_size": 64,
1486
+ "mode": "affine"
1487
+ },
1488
+ "language_model.model.layers.23.self_attn.o_proj": {
1489
+ "bits": 5,
1490
+ "group_size": 64,
1491
+ "mode": "affine"
1492
+ },
1493
+ "language_model.model.layers.24.linear_attn.in_proj_a": {
1494
+ "bits": 5,
1495
+ "group_size": 64,
1496
+ "mode": "affine"
1497
+ },
1498
+ "language_model.model.layers.24.linear_attn.in_proj_b": {
1499
+ "bits": 5,
1500
+ "group_size": 64,
1501
+ "mode": "affine"
1502
+ },
1503
+ "language_model.model.layers.24.linear_attn.in_proj_z": {
1504
+ "bits": 5,
1505
+ "group_size": 64,
1506
+ "mode": "affine"
1507
+ },
1508
+ "language_model.model.layers.24.linear_attn.out_proj": {
1509
+ "bits": 5,
1510
+ "group_size": 64,
1511
+ "mode": "affine"
1512
+ },
1513
+ "language_model.model.layers.24.mlp.down_proj": {
1514
+ "bits": 5,
1515
+ "group_size": 64,
1516
+ "mode": "affine"
1517
+ },
1518
+ "language_model.model.layers.25.linear_attn.in_proj_a": {
1519
+ "bits": 5,
1520
+ "group_size": 64,
1521
+ "mode": "affine"
1522
+ },
1523
+ "language_model.model.layers.25.linear_attn.in_proj_b": {
1524
+ "bits": 5,
1525
+ "group_size": 64,
1526
+ "mode": "affine"
1527
+ },
1528
+ "language_model.model.layers.25.linear_attn.in_proj_z": {
1529
+ "bits": 5,
1530
+ "group_size": 64,
1531
+ "mode": "affine"
1532
+ },
1533
+ "language_model.model.layers.25.linear_attn.out_proj": {
1534
+ "bits": 5,
1535
+ "group_size": 64,
1536
+ "mode": "affine"
1537
+ },
1538
+ "language_model.model.layers.25.mlp.down_proj": {
1539
+ "bits": 5,
1540
+ "group_size": 64,
1541
+ "mode": "affine"
1542
+ },
1543
+ "language_model.model.layers.26.linear_attn.in_proj_a": {
1544
+ "bits": 5,
1545
+ "group_size": 64,
1546
+ "mode": "affine"
1547
+ },
1548
+ "language_model.model.layers.26.linear_attn.in_proj_b": {
1549
+ "bits": 5,
1550
+ "group_size": 64,
1551
+ "mode": "affine"
1552
+ },
1553
+ "language_model.model.layers.26.linear_attn.in_proj_z": {
1554
+ "bits": 5,
1555
+ "group_size": 64,
1556
+ "mode": "affine"
1557
+ },
1558
+ "language_model.model.layers.26.linear_attn.out_proj": {
1559
+ "bits": 5,
1560
+ "group_size": 64,
1561
+ "mode": "affine"
1562
+ },
1563
+ "language_model.model.layers.26.mlp.down_proj": {
1564
+ "bits": 5,
1565
+ "group_size": 64,
1566
+ "mode": "affine"
1567
+ },
1568
+ "language_model.model.layers.27.self_attn.k_proj": {
1569
+ "bits": 5,
1570
+ "group_size": 64,
1571
+ "mode": "affine"
1572
+ },
1573
+ "language_model.model.layers.27.self_attn.o_proj": {
1574
+ "bits": 5,
1575
+ "group_size": 64,
1576
+ "mode": "affine"
1577
+ },
1578
+ "language_model.model.layers.28.linear_attn.in_proj_a": {
1579
+ "bits": 5,
1580
+ "group_size": 64,
1581
+ "mode": "affine"
1582
+ },
1583
+ "language_model.model.layers.28.linear_attn.in_proj_b": {
1584
+ "bits": 5,
1585
+ "group_size": 64,
1586
+ "mode": "affine"
1587
+ },
1588
+ "language_model.model.layers.28.linear_attn.out_proj": {
1589
+ "bits": 5,
1590
+ "group_size": 64,
1591
+ "mode": "affine"
1592
+ },
1593
+ "language_model.model.layers.29.linear_attn.in_proj_a": {
1594
+ "bits": 5,
1595
+ "group_size": 64,
1596
+ "mode": "affine"
1597
+ },
1598
+ "language_model.model.layers.29.linear_attn.in_proj_b": {
1599
+ "bits": 5,
1600
+ "group_size": 64,
1601
+ "mode": "affine"
1602
+ },
1603
+ "language_model.model.layers.29.linear_attn.out_proj": {
1604
+ "bits": 5,
1605
+ "group_size": 64,
1606
+ "mode": "affine"
1607
+ },
1608
+ "language_model.model.layers.30.linear_attn.in_proj_a": {
1609
+ "bits": 5,
1610
+ "group_size": 64,
1611
+ "mode": "affine"
1612
+ },
1613
+ "language_model.model.layers.30.linear_attn.in_proj_b": {
1614
+ "bits": 5,
1615
+ "group_size": 64,
1616
+ "mode": "affine"
1617
+ },
1618
+ "language_model.model.layers.30.linear_attn.out_proj": {
1619
+ "bits": 5,
1620
+ "group_size": 64,
1621
+ "mode": "affine"
1622
+ },
1623
+ "language_model.model.layers.31.self_attn.k_proj": {
1624
+ "bits": 5,
1625
+ "group_size": 64,
1626
+ "mode": "affine"
1627
+ },
1628
+ "language_model.model.layers.32.linear_attn.in_proj_a": {
1629
+ "bits": 5,
1630
+ "group_size": 64,
1631
+ "mode": "affine"
1632
+ },
1633
+ "language_model.model.layers.32.linear_attn.in_proj_b": {
1634
+ "bits": 5,
1635
+ "group_size": 64,
1636
+ "mode": "affine"
1637
+ },
1638
+ "language_model.model.layers.32.linear_attn.out_proj": {
1639
+ "bits": 5,
1640
+ "group_size": 64,
1641
+ "mode": "affine"
1642
+ },
1643
+ "language_model.model.layers.33.linear_attn.in_proj_a": {
1644
+ "bits": 5,
1645
+ "group_size": 64,
1646
+ "mode": "affine"
1647
+ },
1648
+ "language_model.model.layers.33.linear_attn.in_proj_b": {
1649
+ "bits": 5,
1650
+ "group_size": 64,
1651
+ "mode": "affine"
1652
+ },
1653
+ "language_model.model.layers.33.linear_attn.out_proj": {
1654
+ "bits": 5,
1655
+ "group_size": 64,
1656
+ "mode": "affine"
1657
+ },
1658
+ "language_model.model.layers.34.linear_attn.in_proj_a": {
1659
+ "bits": 5,
1660
+ "group_size": 64,
1661
+ "mode": "affine"
1662
+ },
1663
+ "language_model.model.layers.34.linear_attn.in_proj_b": {
1664
+ "bits": 5,
1665
+ "group_size": 64,
1666
+ "mode": "affine"
1667
+ },
1668
+ "language_model.model.layers.34.linear_attn.out_proj": {
1669
+ "bits": 5,
1670
+ "group_size": 64,
1671
+ "mode": "affine"
1672
+ },
1673
+ "language_model.model.layers.36.linear_attn.in_proj_a": {
1674
+ "bits": 5,
1675
+ "group_size": 64,
1676
+ "mode": "affine"
1677
+ },
1678
+ "language_model.model.layers.36.linear_attn.in_proj_b": {
1679
+ "bits": 5,
1680
+ "group_size": 64,
1681
+ "mode": "affine"
1682
+ },
1683
+ "language_model.model.layers.36.linear_attn.out_proj": {
1684
+ "bits": 5,
1685
+ "group_size": 64,
1686
+ "mode": "affine"
1687
+ },
1688
+ "language_model.model.layers.37.linear_attn.in_proj_a": {
1689
+ "bits": 5,
1690
+ "group_size": 64,
1691
+ "mode": "affine"
1692
+ },
1693
+ "language_model.model.layers.37.linear_attn.in_proj_b": {
1694
+ "bits": 5,
1695
+ "group_size": 64,
1696
+ "mode": "affine"
1697
+ },
1698
+ "language_model.model.layers.37.linear_attn.out_proj": {
1699
+ "bits": 5,
1700
+ "group_size": 64,
1701
+ "mode": "affine"
1702
+ },
1703
+ "language_model.model.layers.38.linear_attn.in_proj_a": {
1704
+ "bits": 5,
1705
+ "group_size": 64,
1706
+ "mode": "affine"
1707
+ },
1708
+ "language_model.model.layers.38.linear_attn.in_proj_b": {
1709
+ "bits": 5,
1710
+ "group_size": 64,
1711
+ "mode": "affine"
1712
+ },
1713
+ "language_model.model.layers.38.linear_attn.out_proj": {
1714
+ "bits": 5,
1715
+ "group_size": 64,
1716
+ "mode": "affine"
1717
+ },
1718
+ "language_model.model.layers.40.linear_attn.in_proj_a": {
1719
+ "bits": 5,
1720
+ "group_size": 64,
1721
+ "mode": "affine"
1722
+ },
1723
+ "language_model.model.layers.40.linear_attn.out_proj": {
1724
+ "bits": 5,
1725
+ "group_size": 64,
1726
+ "mode": "affine"
1727
+ },
1728
+ "language_model.model.layers.41.linear_attn.out_proj": {
1729
+ "bits": 5,
1730
+ "group_size": 64,
1731
+ "mode": "affine"
1732
+ },
1733
+ "language_model.model.layers.42.linear_attn.out_proj": {
1734
+ "bits": 5,
1735
+ "group_size": 64,
1736
+ "mode": "affine"
1737
+ },
1738
+ "language_model.model.layers.44.linear_attn.out_proj": {
1739
+ "bits": 5,
1740
+ "group_size": 64,
1741
+ "mode": "affine"
1742
+ },
1743
+ "language_model.model.layers.45.linear_attn.out_proj": {
1744
+ "bits": 5,
1745
+ "group_size": 64,
1746
+ "mode": "affine"
1747
+ },
1748
+ "language_model.model.layers.46.linear_attn.out_proj": {
1749
+ "bits": 5,
1750
+ "group_size": 64,
1751
+ "mode": "affine"
1752
+ },
1753
+ "language_model.model.layers.48.linear_attn.out_proj": {
1754
+ "bits": 5,
1755
+ "group_size": 64,
1756
+ "mode": "affine"
1757
+ },
1758
+ "language_model.model.layers.49.linear_attn.out_proj": {
1759
+ "bits": 5,
1760
+ "group_size": 64,
1761
+ "mode": "affine"
1762
+ },
1763
+ "language_model.model.layers.50.linear_attn.out_proj": {
1764
+ "bits": 5,
1765
+ "group_size": 64,
1766
+ "mode": "affine"
1767
+ },
1768
+ "language_model.model.layers.52.linear_attn.out_proj": {
1769
+ "bits": 5,
1770
+ "group_size": 64,
1771
+ "mode": "affine"
1772
+ },
1773
+ "language_model.model.layers.53.linear_attn.out_proj": {
1774
+ "bits": 5,
1775
+ "group_size": 64,
1776
+ "mode": "affine"
1777
+ },
1778
+ "language_model.model.layers.54.linear_attn.out_proj": {
1779
+ "bits": 5,
1780
+ "group_size": 64,
1781
+ "mode": "affine"
1782
+ },
1783
+ "language_model.model.layers.56.linear_attn.out_proj": {
1784
+ "bits": 5,
1785
+ "group_size": 64,
1786
+ "mode": "affine"
1787
+ },
1788
+ "language_model.model.layers.57.linear_attn.out_proj": {
1789
+ "bits": 5,
1790
+ "group_size": 64,
1791
+ "mode": "affine"
1792
+ },
1793
+ "language_model.model.layers.58.linear_attn.out_proj": {
1794
+ "bits": 5,
1795
+ "group_size": 64,
1796
+ "mode": "affine"
1797
+ },
1798
+ "language_model.model.layers.60.linear_attn.out_proj": {
1799
+ "bits": 5,
1800
+ "group_size": 64,
1801
+ "mode": "affine"
1802
+ },
1803
+ "language_model.model.layers.61.linear_attn.out_proj": {
1804
+ "bits": 5,
1805
+ "group_size": 64,
1806
+ "mode": "affine"
1807
+ },
1808
+ "language_model.model.layers.62.linear_attn.out_proj": {
1809
+ "bits": 5,
1810
+ "group_size": 64,
1811
+ "mode": "affine"
1812
+ }
1813
+ }
1814
+ }
generation_config.json ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 248044,
3
+ "do_sample": true,
4
+ "eos_token_id": [
5
+ 248046,
6
+ 248044
7
+ ],
8
+ "pad_token_id": 248044,
9
+ "temperature": 1.0,
10
+ "top_k": 20,
11
+ "top_p": 0.95
12
+ }
merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
model-00001-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:78014c0d1d65d47d7f2eb45304a88c65d60260122e646ac46a3ed4c65b24c83b
3
+ size 5016415582
model-00002-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5fa03ad8fb23e9d4c94776a76a240054bc613aec2d74c172ad546982cc536950
3
+ size 5017583687
model-00003-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:745fa6d39083ca3419b945b56d79e4133a089f095839cb25b3b48902db9ef296
3
+ size 5001653251
model-00004-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3bd76212c352b8b815c5195cd614a0dbe21543ee732221c766e676abe1ba7a41
3
+ size 1936029038
model.safetensors.index.json ADDED
The diff for this file is too large to render. See raw diff
 
oq_imatrix_report.json ADDED
@@ -0,0 +1,609 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "enabled": true,
3
+ "cache_path": "/Users/zesming/.omlx/models/.oqe_imatrix/Qwen3.8-27B-141f82e8c7ff-s128-l512.npz",
4
+ "cache_reused": false,
5
+ "entry_count": 504,
6
+ "calib_dataset": "oqe_code_multilingual",
7
+ "collection": {
8
+ "dataset": "oqe_code_multilingual",
9
+ "requested_samples": 128,
10
+ "seq_length": 512,
11
+ "adaptive": true,
12
+ "adaptive_step_samples": 128,
13
+ "adaptive_max_samples": 1024,
14
+ "available_samples": 1024,
15
+ "micro_batch_size": 24,
16
+ "micro_batches": 6,
17
+ "batch_plan": {
18
+ "micro_batch_size": 24,
19
+ "estimated_sample_bytes": 10485760,
20
+ "capture_budget_bytes": 255832577,
21
+ "system_available_bytes": 41876733952,
22
+ "metal_available_bytes": 55657672548,
23
+ "live_available_bytes": 41876733952,
24
+ "model_bytes": 16293476250,
25
+ "remaining_available_bytes": 25583257702,
26
+ "fits_one_sample": true,
27
+ "hidden_size": 5120,
28
+ "num_experts": 0,
29
+ "top_k": 1,
30
+ "gemma4_state_bytes": 0,
31
+ "num_hidden_layers": 64,
32
+ "num_kv_shared_layers": 0,
33
+ "per_layer_input_size": 0
34
+ },
35
+ "processed_samples": 128,
36
+ "installed_modules": 615,
37
+ "capture_module_classes": {
38
+ "Linear": 110,
39
+ "QuantizedLinear": 505
40
+ },
41
+ "switch_capture_modules": 0,
42
+ "requires_expert_counts": false,
43
+ "coverage_sufficient": true,
44
+ "collection_sufficient": true,
45
+ "coverage": {
46
+ "has_expert_counts": false,
47
+ "expert_modules": 0,
48
+ "total_experts": 0,
49
+ "active_experts": 0,
50
+ "zero_count_experts": 0,
51
+ "active_ratio": 1.0,
52
+ "min_count": 0,
53
+ "p05_count": 0.0,
54
+ "p10_count": 0.0,
55
+ "median_count": 0.0,
56
+ "max_count": 0,
57
+ "min_required_count": 16,
58
+ "required_percentile": 5
59
+ },
60
+ "rounds": [
61
+ {
62
+ "processed_samples": 128,
63
+ "coverage_sufficient": true,
64
+ "collection_sufficient": true,
65
+ "coverage": {
66
+ "has_expert_counts": false,
67
+ "expert_modules": 0,
68
+ "total_experts": 0,
69
+ "active_experts": 0,
70
+ "zero_count_experts": 0,
71
+ "active_ratio": 1.0,
72
+ "min_count": 0,
73
+ "p05_count": 0.0,
74
+ "p10_count": 0.0,
75
+ "median_count": 0.0,
76
+ "max_count": 0,
77
+ "min_required_count": 16,
78
+ "required_percentile": 5
79
+ }
80
+ }
81
+ ]
82
+ },
83
+ "expert_coverage": {
84
+ "has_expert_counts": false,
85
+ "expert_modules": 0,
86
+ "total_experts": 0,
87
+ "active_experts": 0,
88
+ "zero_count_experts": 0,
89
+ "active_ratio": 1.0,
90
+ "min_count": 0,
91
+ "p05_count": 0.0,
92
+ "p10_count": 0.0,
93
+ "median_count": 0.0,
94
+ "max_count": 0,
95
+ "min_required_count": 16,
96
+ "required_percentile": 5
97
+ },
98
+ "applied": [
99
+ "language_model.model.layers.0.linear_attn.in_proj_a",
100
+ "language_model.model.layers.0.linear_attn.in_proj_b",
101
+ "language_model.model.layers.0.linear_attn.in_proj_qkv",
102
+ "language_model.model.layers.0.linear_attn.in_proj_z",
103
+ "language_model.model.layers.0.linear_attn.out_proj",
104
+ "language_model.model.layers.0.mlp.down_proj",
105
+ "language_model.model.layers.0.mlp.gate_proj",
106
+ "language_model.model.layers.0.mlp.up_proj",
107
+ "language_model.model.layers.1.linear_attn.in_proj_a",
108
+ "language_model.model.layers.1.linear_attn.in_proj_b",
109
+ "language_model.model.layers.1.linear_attn.in_proj_qkv",
110
+ "language_model.model.layers.1.linear_attn.in_proj_z",
111
+ "language_model.model.layers.1.linear_attn.out_proj",
112
+ "language_model.model.layers.1.mlp.down_proj",
113
+ "language_model.model.layers.1.mlp.gate_proj",
114
+ "language_model.model.layers.1.mlp.up_proj",
115
+ "language_model.model.layers.10.linear_attn.in_proj_a",
116
+ "language_model.model.layers.10.linear_attn.in_proj_b",
117
+ "language_model.model.layers.10.linear_attn.in_proj_qkv",
118
+ "language_model.model.layers.10.linear_attn.in_proj_z",
119
+ "language_model.model.layers.10.linear_attn.out_proj",
120
+ "language_model.model.layers.10.mlp.down_proj",
121
+ "language_model.model.layers.10.mlp.gate_proj",
122
+ "language_model.model.layers.10.mlp.up_proj",
123
+ "language_model.model.layers.11.mlp.down_proj",
124
+ "language_model.model.layers.11.mlp.gate_proj",
125
+ "language_model.model.layers.11.mlp.up_proj",
126
+ "language_model.model.layers.11.self_attn.k_proj",
127
+ "language_model.model.layers.11.self_attn.o_proj",
128
+ "language_model.model.layers.11.self_attn.q_proj",
129
+ "language_model.model.layers.11.self_attn.v_proj",
130
+ "language_model.model.layers.12.linear_attn.in_proj_a",
131
+ "language_model.model.layers.12.linear_attn.in_proj_b",
132
+ "language_model.model.layers.12.linear_attn.in_proj_qkv",
133
+ "language_model.model.layers.12.linear_attn.in_proj_z",
134
+ "language_model.model.layers.12.linear_attn.out_proj",
135
+ "language_model.model.layers.12.mlp.down_proj",
136
+ "language_model.model.layers.12.mlp.gate_proj",
137
+ "language_model.model.layers.12.mlp.up_proj",
138
+ "language_model.model.layers.13.linear_attn.in_proj_a",
139
+ "language_model.model.layers.13.linear_attn.in_proj_b",
140
+ "language_model.model.layers.13.linear_attn.in_proj_qkv",
141
+ "language_model.model.layers.13.linear_attn.in_proj_z",
142
+ "language_model.model.layers.13.linear_attn.out_proj",
143
+ "language_model.model.layers.13.mlp.down_proj",
144
+ "language_model.model.layers.13.mlp.gate_proj",
145
+ "language_model.model.layers.13.mlp.up_proj",
146
+ "language_model.model.layers.14.linear_attn.in_proj_a",
147
+ "language_model.model.layers.14.linear_attn.in_proj_b",
148
+ "language_model.model.layers.14.linear_attn.in_proj_qkv",
149
+ "language_model.model.layers.14.linear_attn.in_proj_z",
150
+ "language_model.model.layers.14.linear_attn.out_proj",
151
+ "language_model.model.layers.14.mlp.down_proj",
152
+ "language_model.model.layers.14.mlp.gate_proj",
153
+ "language_model.model.layers.14.mlp.up_proj",
154
+ "language_model.model.layers.15.mlp.down_proj",
155
+ "language_model.model.layers.15.mlp.gate_proj",
156
+ "language_model.model.layers.15.mlp.up_proj",
157
+ "language_model.model.layers.15.self_attn.k_proj",
158
+ "language_model.model.layers.15.self_attn.o_proj",
159
+ "language_model.model.layers.15.self_attn.q_proj",
160
+ "language_model.model.layers.15.self_attn.v_proj",
161
+ "language_model.model.layers.16.linear_attn.in_proj_a",
162
+ "language_model.model.layers.16.linear_attn.in_proj_b",
163
+ "language_model.model.layers.16.linear_attn.in_proj_qkv",
164
+ "language_model.model.layers.16.linear_attn.in_proj_z",
165
+ "language_model.model.layers.16.linear_attn.out_proj",
166
+ "language_model.model.layers.16.mlp.down_proj",
167
+ "language_model.model.layers.16.mlp.gate_proj",
168
+ "language_model.model.layers.16.mlp.up_proj",
169
+ "language_model.model.layers.17.linear_attn.in_proj_a",
170
+ "language_model.model.layers.17.linear_attn.in_proj_b",
171
+ "language_model.model.layers.17.linear_attn.in_proj_qkv",
172
+ "language_model.model.layers.17.linear_attn.in_proj_z",
173
+ "language_model.model.layers.17.linear_attn.out_proj",
174
+ "language_model.model.layers.17.mlp.down_proj",
175
+ "language_model.model.layers.17.mlp.gate_proj",
176
+ "language_model.model.layers.17.mlp.up_proj",
177
+ "language_model.model.layers.18.linear_attn.in_proj_a",
178
+ "language_model.model.layers.18.linear_attn.in_proj_b",
179
+ "language_model.model.layers.18.linear_attn.in_proj_qkv",
180
+ "language_model.model.layers.18.linear_attn.in_proj_z",
181
+ "language_model.model.layers.18.linear_attn.out_proj",
182
+ "language_model.model.layers.18.mlp.down_proj",
183
+ "language_model.model.layers.18.mlp.gate_proj",
184
+ "language_model.model.layers.18.mlp.up_proj",
185
+ "language_model.model.layers.19.mlp.down_proj",
186
+ "language_model.model.layers.19.mlp.gate_proj",
187
+ "language_model.model.layers.19.mlp.up_proj",
188
+ "language_model.model.layers.19.self_attn.k_proj",
189
+ "language_model.model.layers.19.self_attn.o_proj",
190
+ "language_model.model.layers.19.self_attn.q_proj",
191
+ "language_model.model.layers.19.self_attn.v_proj",
192
+ "language_model.model.layers.2.linear_attn.in_proj_a",
193
+ "language_model.model.layers.2.linear_attn.in_proj_b",
194
+ "language_model.model.layers.2.linear_attn.in_proj_qkv",
195
+ "language_model.model.layers.2.linear_attn.in_proj_z",
196
+ "language_model.model.layers.2.linear_attn.out_proj",
197
+ "language_model.model.layers.2.mlp.down_proj",
198
+ "language_model.model.layers.2.mlp.gate_proj",
199
+ "language_model.model.layers.2.mlp.up_proj",
200
+ "language_model.model.layers.20.linear_attn.in_proj_a",
201
+ "language_model.model.layers.20.linear_attn.in_proj_b",
202
+ "language_model.model.layers.20.linear_attn.in_proj_qkv",
203
+ "language_model.model.layers.20.linear_attn.in_proj_z",
204
+ "language_model.model.layers.20.linear_attn.out_proj",
205
+ "language_model.model.layers.20.mlp.down_proj",
206
+ "language_model.model.layers.20.mlp.gate_proj",
207
+ "language_model.model.layers.20.mlp.up_proj",
208
+ "language_model.model.layers.21.linear_attn.in_proj_a",
209
+ "language_model.model.layers.21.linear_attn.in_proj_b",
210
+ "language_model.model.layers.21.linear_attn.in_proj_qkv",
211
+ "language_model.model.layers.21.linear_attn.in_proj_z",
212
+ "language_model.model.layers.21.linear_attn.out_proj",
213
+ "language_model.model.layers.21.mlp.down_proj",
214
+ "language_model.model.layers.21.mlp.gate_proj",
215
+ "language_model.model.layers.21.mlp.up_proj",
216
+ "language_model.model.layers.22.linear_attn.in_proj_a",
217
+ "language_model.model.layers.22.linear_attn.in_proj_b",
218
+ "language_model.model.layers.22.linear_attn.in_proj_qkv",
219
+ "language_model.model.layers.22.linear_attn.in_proj_z",
220
+ "language_model.model.layers.22.linear_attn.out_proj",
221
+ "language_model.model.layers.22.mlp.down_proj",
222
+ "language_model.model.layers.22.mlp.gate_proj",
223
+ "language_model.model.layers.22.mlp.up_proj",
224
+ "language_model.model.layers.23.mlp.down_proj",
225
+ "language_model.model.layers.23.mlp.gate_proj",
226
+ "language_model.model.layers.23.mlp.up_proj",
227
+ "language_model.model.layers.23.self_attn.k_proj",
228
+ "language_model.model.layers.23.self_attn.o_proj",
229
+ "language_model.model.layers.23.self_attn.q_proj",
230
+ "language_model.model.layers.23.self_attn.v_proj",
231
+ "language_model.model.layers.24.linear_attn.in_proj_a",
232
+ "language_model.model.layers.24.linear_attn.in_proj_b",
233
+ "language_model.model.layers.24.linear_attn.in_proj_qkv",
234
+ "language_model.model.layers.24.linear_attn.in_proj_z",
235
+ "language_model.model.layers.24.linear_attn.out_proj",
236
+ "language_model.model.layers.24.mlp.down_proj",
237
+ "language_model.model.layers.24.mlp.gate_proj",
238
+ "language_model.model.layers.24.mlp.up_proj",
239
+ "language_model.model.layers.25.linear_attn.in_proj_a",
240
+ "language_model.model.layers.25.linear_attn.in_proj_b",
241
+ "language_model.model.layers.25.linear_attn.in_proj_qkv",
242
+ "language_model.model.layers.25.linear_attn.in_proj_z",
243
+ "language_model.model.layers.25.linear_attn.out_proj",
244
+ "language_model.model.layers.25.mlp.down_proj",
245
+ "language_model.model.layers.25.mlp.gate_proj",
246
+ "language_model.model.layers.25.mlp.up_proj",
247
+ "language_model.model.layers.26.linear_attn.in_proj_a",
248
+ "language_model.model.layers.26.linear_attn.in_proj_b",
249
+ "language_model.model.layers.26.linear_attn.in_proj_qkv",
250
+ "language_model.model.layers.26.linear_attn.in_proj_z",
251
+ "language_model.model.layers.26.linear_attn.out_proj",
252
+ "language_model.model.layers.26.mlp.down_proj",
253
+ "language_model.model.layers.26.mlp.gate_proj",
254
+ "language_model.model.layers.26.mlp.up_proj",
255
+ "language_model.model.layers.27.mlp.down_proj",
256
+ "language_model.model.layers.27.mlp.gate_proj",
257
+ "language_model.model.layers.27.mlp.up_proj",
258
+ "language_model.model.layers.27.self_attn.k_proj",
259
+ "language_model.model.layers.27.self_attn.o_proj",
260
+ "language_model.model.layers.27.self_attn.q_proj",
261
+ "language_model.model.layers.27.self_attn.v_proj",
262
+ "language_model.model.layers.28.linear_attn.in_proj_a",
263
+ "language_model.model.layers.28.linear_attn.in_proj_b",
264
+ "language_model.model.layers.28.linear_attn.in_proj_qkv",
265
+ "language_model.model.layers.28.linear_attn.in_proj_z",
266
+ "language_model.model.layers.28.linear_attn.out_proj",
267
+ "language_model.model.layers.28.mlp.down_proj",
268
+ "language_model.model.layers.28.mlp.gate_proj",
269
+ "language_model.model.layers.28.mlp.up_proj",
270
+ "language_model.model.layers.29.linear_attn.in_proj_a",
271
+ "language_model.model.layers.29.linear_attn.in_proj_b",
272
+ "language_model.model.layers.29.linear_attn.in_proj_qkv",
273
+ "language_model.model.layers.29.linear_attn.in_proj_z",
274
+ "language_model.model.layers.29.linear_attn.out_proj",
275
+ "language_model.model.layers.29.mlp.down_proj",
276
+ "language_model.model.layers.29.mlp.gate_proj",
277
+ "language_model.model.layers.29.mlp.up_proj",
278
+ "language_model.model.layers.3.mlp.down_proj",
279
+ "language_model.model.layers.3.mlp.gate_proj",
280
+ "language_model.model.layers.3.mlp.up_proj",
281
+ "language_model.model.layers.3.self_attn.k_proj",
282
+ "language_model.model.layers.3.self_attn.o_proj",
283
+ "language_model.model.layers.3.self_attn.q_proj",
284
+ "language_model.model.layers.3.self_attn.v_proj",
285
+ "language_model.model.layers.30.linear_attn.in_proj_a",
286
+ "language_model.model.layers.30.linear_attn.in_proj_b",
287
+ "language_model.model.layers.30.linear_attn.in_proj_qkv",
288
+ "language_model.model.layers.30.linear_attn.in_proj_z",
289
+ "language_model.model.layers.30.linear_attn.out_proj",
290
+ "language_model.model.layers.30.mlp.down_proj",
291
+ "language_model.model.layers.30.mlp.gate_proj",
292
+ "language_model.model.layers.30.mlp.up_proj",
293
+ "language_model.model.layers.31.mlp.down_proj",
294
+ "language_model.model.layers.31.mlp.gate_proj",
295
+ "language_model.model.layers.31.mlp.up_proj",
296
+ "language_model.model.layers.31.self_attn.k_proj",
297
+ "language_model.model.layers.31.self_attn.o_proj",
298
+ "language_model.model.layers.31.self_attn.q_proj",
299
+ "language_model.model.layers.31.self_attn.v_proj",
300
+ "language_model.model.layers.32.linear_attn.in_proj_a",
301
+ "language_model.model.layers.32.linear_attn.in_proj_b",
302
+ "language_model.model.layers.32.linear_attn.in_proj_qkv",
303
+ "language_model.model.layers.32.linear_attn.in_proj_z",
304
+ "language_model.model.layers.32.linear_attn.out_proj",
305
+ "language_model.model.layers.32.mlp.down_proj",
306
+ "language_model.model.layers.32.mlp.gate_proj",
307
+ "language_model.model.layers.32.mlp.up_proj",
308
+ "language_model.model.layers.33.linear_attn.in_proj_a",
309
+ "language_model.model.layers.33.linear_attn.in_proj_b",
310
+ "language_model.model.layers.33.linear_attn.in_proj_qkv",
311
+ "language_model.model.layers.33.linear_attn.in_proj_z",
312
+ "language_model.model.layers.33.linear_attn.out_proj",
313
+ "language_model.model.layers.33.mlp.down_proj",
314
+ "language_model.model.layers.33.mlp.gate_proj",
315
+ "language_model.model.layers.33.mlp.up_proj",
316
+ "language_model.model.layers.34.linear_attn.in_proj_a",
317
+ "language_model.model.layers.34.linear_attn.in_proj_b",
318
+ "language_model.model.layers.34.linear_attn.in_proj_qkv",
319
+ "language_model.model.layers.34.linear_attn.in_proj_z",
320
+ "language_model.model.layers.34.linear_attn.out_proj",
321
+ "language_model.model.layers.34.mlp.down_proj",
322
+ "language_model.model.layers.34.mlp.gate_proj",
323
+ "language_model.model.layers.34.mlp.up_proj",
324
+ "language_model.model.layers.35.mlp.down_proj",
325
+ "language_model.model.layers.35.mlp.gate_proj",
326
+ "language_model.model.layers.35.mlp.up_proj",
327
+ "language_model.model.layers.35.self_attn.k_proj",
328
+ "language_model.model.layers.35.self_attn.o_proj",
329
+ "language_model.model.layers.35.self_attn.q_proj",
330
+ "language_model.model.layers.35.self_attn.v_proj",
331
+ "language_model.model.layers.36.linear_attn.in_proj_a",
332
+ "language_model.model.layers.36.linear_attn.in_proj_b",
333
+ "language_model.model.layers.36.linear_attn.in_proj_qkv",
334
+ "language_model.model.layers.36.linear_attn.in_proj_z",
335
+ "language_model.model.layers.36.linear_attn.out_proj",
336
+ "language_model.model.layers.36.mlp.down_proj",
337
+ "language_model.model.layers.36.mlp.gate_proj",
338
+ "language_model.model.layers.36.mlp.up_proj",
339
+ "language_model.model.layers.37.linear_attn.in_proj_a",
340
+ "language_model.model.layers.37.linear_attn.in_proj_b",
341
+ "language_model.model.layers.37.linear_attn.in_proj_qkv",
342
+ "language_model.model.layers.37.linear_attn.in_proj_z",
343
+ "language_model.model.layers.37.linear_attn.out_proj",
344
+ "language_model.model.layers.37.mlp.down_proj",
345
+ "language_model.model.layers.37.mlp.gate_proj",
346
+ "language_model.model.layers.37.mlp.up_proj",
347
+ "language_model.model.layers.38.linear_attn.in_proj_a",
348
+ "language_model.model.layers.38.linear_attn.in_proj_b",
349
+ "language_model.model.layers.38.linear_attn.in_proj_qkv",
350
+ "language_model.model.layers.38.linear_attn.in_proj_z",
351
+ "language_model.model.layers.38.linear_attn.out_proj",
352
+ "language_model.model.layers.38.mlp.down_proj",
353
+ "language_model.model.layers.38.mlp.gate_proj",
354
+ "language_model.model.layers.38.mlp.up_proj",
355
+ "language_model.model.layers.39.mlp.down_proj",
356
+ "language_model.model.layers.39.mlp.gate_proj",
357
+ "language_model.model.layers.39.mlp.up_proj",
358
+ "language_model.model.layers.39.self_attn.k_proj",
359
+ "language_model.model.layers.39.self_attn.o_proj",
360
+ "language_model.model.layers.39.self_attn.q_proj",
361
+ "language_model.model.layers.39.self_attn.v_proj",
362
+ "language_model.model.layers.4.linear_attn.in_proj_a",
363
+ "language_model.model.layers.4.linear_attn.in_proj_b",
364
+ "language_model.model.layers.4.linear_attn.in_proj_qkv",
365
+ "language_model.model.layers.4.linear_attn.in_proj_z",
366
+ "language_model.model.layers.4.linear_attn.out_proj",
367
+ "language_model.model.layers.4.mlp.down_proj",
368
+ "language_model.model.layers.4.mlp.gate_proj",
369
+ "language_model.model.layers.4.mlp.up_proj",
370
+ "language_model.model.layers.40.linear_attn.in_proj_a",
371
+ "language_model.model.layers.40.linear_attn.in_proj_b",
372
+ "language_model.model.layers.40.linear_attn.in_proj_qkv",
373
+ "language_model.model.layers.40.linear_attn.in_proj_z",
374
+ "language_model.model.layers.40.linear_attn.out_proj",
375
+ "language_model.model.layers.40.mlp.down_proj",
376
+ "language_model.model.layers.40.mlp.gate_proj",
377
+ "language_model.model.layers.40.mlp.up_proj",
378
+ "language_model.model.layers.41.linear_attn.in_proj_a",
379
+ "language_model.model.layers.41.linear_attn.in_proj_b",
380
+ "language_model.model.layers.41.linear_attn.in_proj_qkv",
381
+ "language_model.model.layers.41.linear_attn.in_proj_z",
382
+ "language_model.model.layers.41.linear_attn.out_proj",
383
+ "language_model.model.layers.41.mlp.down_proj",
384
+ "language_model.model.layers.41.mlp.gate_proj",
385
+ "language_model.model.layers.41.mlp.up_proj",
386
+ "language_model.model.layers.42.linear_attn.in_proj_a",
387
+ "language_model.model.layers.42.linear_attn.in_proj_b",
388
+ "language_model.model.layers.42.linear_attn.in_proj_qkv",
389
+ "language_model.model.layers.42.linear_attn.in_proj_z",
390
+ "language_model.model.layers.42.linear_attn.out_proj",
391
+ "language_model.model.layers.42.mlp.down_proj",
392
+ "language_model.model.layers.42.mlp.gate_proj",
393
+ "language_model.model.layers.42.mlp.up_proj",
394
+ "language_model.model.layers.43.mlp.down_proj",
395
+ "language_model.model.layers.43.mlp.gate_proj",
396
+ "language_model.model.layers.43.mlp.up_proj",
397
+ "language_model.model.layers.43.self_attn.k_proj",
398
+ "language_model.model.layers.43.self_attn.o_proj",
399
+ "language_model.model.layers.43.self_attn.q_proj",
400
+ "language_model.model.layers.43.self_attn.v_proj",
401
+ "language_model.model.layers.44.linear_attn.in_proj_a",
402
+ "language_model.model.layers.44.linear_attn.in_proj_b",
403
+ "language_model.model.layers.44.linear_attn.in_proj_qkv",
404
+ "language_model.model.layers.44.linear_attn.in_proj_z",
405
+ "language_model.model.layers.44.linear_attn.out_proj",
406
+ "language_model.model.layers.44.mlp.down_proj",
407
+ "language_model.model.layers.44.mlp.gate_proj",
408
+ "language_model.model.layers.44.mlp.up_proj",
409
+ "language_model.model.layers.45.linear_attn.in_proj_a",
410
+ "language_model.model.layers.45.linear_attn.in_proj_b",
411
+ "language_model.model.layers.45.linear_attn.in_proj_qkv",
412
+ "language_model.model.layers.45.linear_attn.in_proj_z",
413
+ "language_model.model.layers.45.linear_attn.out_proj",
414
+ "language_model.model.layers.45.mlp.down_proj",
415
+ "language_model.model.layers.45.mlp.gate_proj",
416
+ "language_model.model.layers.45.mlp.up_proj",
417
+ "language_model.model.layers.46.linear_attn.in_proj_a",
418
+ "language_model.model.layers.46.linear_attn.in_proj_b",
419
+ "language_model.model.layers.46.linear_attn.in_proj_qkv",
420
+ "language_model.model.layers.46.linear_attn.in_proj_z",
421
+ "language_model.model.layers.46.linear_attn.out_proj",
422
+ "language_model.model.layers.46.mlp.down_proj",
423
+ "language_model.model.layers.46.mlp.gate_proj",
424
+ "language_model.model.layers.46.mlp.up_proj",
425
+ "language_model.model.layers.47.mlp.down_proj",
426
+ "language_model.model.layers.47.mlp.gate_proj",
427
+ "language_model.model.layers.47.mlp.up_proj",
428
+ "language_model.model.layers.47.self_attn.k_proj",
429
+ "language_model.model.layers.47.self_attn.o_proj",
430
+ "language_model.model.layers.47.self_attn.q_proj",
431
+ "language_model.model.layers.47.self_attn.v_proj",
432
+ "language_model.model.layers.48.linear_attn.in_proj_a",
433
+ "language_model.model.layers.48.linear_attn.in_proj_b",
434
+ "language_model.model.layers.48.linear_attn.in_proj_qkv",
435
+ "language_model.model.layers.48.linear_attn.in_proj_z",
436
+ "language_model.model.layers.48.linear_attn.out_proj",
437
+ "language_model.model.layers.48.mlp.down_proj",
438
+ "language_model.model.layers.48.mlp.gate_proj",
439
+ "language_model.model.layers.48.mlp.up_proj",
440
+ "language_model.model.layers.49.linear_attn.in_proj_a",
441
+ "language_model.model.layers.49.linear_attn.in_proj_b",
442
+ "language_model.model.layers.49.linear_attn.in_proj_qkv",
443
+ "language_model.model.layers.49.linear_attn.in_proj_z",
444
+ "language_model.model.layers.49.linear_attn.out_proj",
445
+ "language_model.model.layers.49.mlp.down_proj",
446
+ "language_model.model.layers.49.mlp.gate_proj",
447
+ "language_model.model.layers.49.mlp.up_proj",
448
+ "language_model.model.layers.5.linear_attn.in_proj_a",
449
+ "language_model.model.layers.5.linear_attn.in_proj_b",
450
+ "language_model.model.layers.5.linear_attn.in_proj_qkv",
451
+ "language_model.model.layers.5.linear_attn.in_proj_z",
452
+ "language_model.model.layers.5.linear_attn.out_proj",
453
+ "language_model.model.layers.5.mlp.down_proj",
454
+ "language_model.model.layers.5.mlp.gate_proj",
455
+ "language_model.model.layers.5.mlp.up_proj",
456
+ "language_model.model.layers.50.linear_attn.in_proj_a",
457
+ "language_model.model.layers.50.linear_attn.in_proj_b",
458
+ "language_model.model.layers.50.linear_attn.in_proj_qkv",
459
+ "language_model.model.layers.50.linear_attn.in_proj_z",
460
+ "language_model.model.layers.50.linear_attn.out_proj",
461
+ "language_model.model.layers.50.mlp.down_proj",
462
+ "language_model.model.layers.50.mlp.gate_proj",
463
+ "language_model.model.layers.50.mlp.up_proj",
464
+ "language_model.model.layers.51.mlp.down_proj",
465
+ "language_model.model.layers.51.mlp.gate_proj",
466
+ "language_model.model.layers.51.mlp.up_proj",
467
+ "language_model.model.layers.51.self_attn.k_proj",
468
+ "language_model.model.layers.51.self_attn.o_proj",
469
+ "language_model.model.layers.51.self_attn.q_proj",
470
+ "language_model.model.layers.51.self_attn.v_proj",
471
+ "language_model.model.layers.52.linear_attn.in_proj_a",
472
+ "language_model.model.layers.52.linear_attn.in_proj_b",
473
+ "language_model.model.layers.52.linear_attn.in_proj_qkv",
474
+ "language_model.model.layers.52.linear_attn.in_proj_z",
475
+ "language_model.model.layers.52.linear_attn.out_proj",
476
+ "language_model.model.layers.52.mlp.down_proj",
477
+ "language_model.model.layers.52.mlp.gate_proj",
478
+ "language_model.model.layers.52.mlp.up_proj",
479
+ "language_model.model.layers.53.linear_attn.in_proj_a",
480
+ "language_model.model.layers.53.linear_attn.in_proj_b",
481
+ "language_model.model.layers.53.linear_attn.in_proj_qkv",
482
+ "language_model.model.layers.53.linear_attn.in_proj_z",
483
+ "language_model.model.layers.53.linear_attn.out_proj",
484
+ "language_model.model.layers.53.mlp.down_proj",
485
+ "language_model.model.layers.53.mlp.gate_proj",
486
+ "language_model.model.layers.53.mlp.up_proj",
487
+ "language_model.model.layers.54.linear_attn.in_proj_a",
488
+ "language_model.model.layers.54.linear_attn.in_proj_b",
489
+ "language_model.model.layers.54.linear_attn.in_proj_qkv",
490
+ "language_model.model.layers.54.linear_attn.in_proj_z",
491
+ "language_model.model.layers.54.linear_attn.out_proj",
492
+ "language_model.model.layers.54.mlp.down_proj",
493
+ "language_model.model.layers.54.mlp.gate_proj",
494
+ "language_model.model.layers.54.mlp.up_proj",
495
+ "language_model.model.layers.55.mlp.down_proj",
496
+ "language_model.model.layers.55.mlp.gate_proj",
497
+ "language_model.model.layers.55.mlp.up_proj",
498
+ "language_model.model.layers.55.self_attn.k_proj",
499
+ "language_model.model.layers.55.self_attn.o_proj",
500
+ "language_model.model.layers.55.self_attn.q_proj",
501
+ "language_model.model.layers.55.self_attn.v_proj",
502
+ "language_model.model.layers.56.linear_attn.in_proj_a",
503
+ "language_model.model.layers.56.linear_attn.in_proj_b",
504
+ "language_model.model.layers.56.linear_attn.in_proj_qkv",
505
+ "language_model.model.layers.56.linear_attn.in_proj_z",
506
+ "language_model.model.layers.56.linear_attn.out_proj",
507
+ "language_model.model.layers.56.mlp.down_proj",
508
+ "language_model.model.layers.56.mlp.gate_proj",
509
+ "language_model.model.layers.56.mlp.up_proj",
510
+ "language_model.model.layers.57.linear_attn.in_proj_a",
511
+ "language_model.model.layers.57.linear_attn.in_proj_b",
512
+ "language_model.model.layers.57.linear_attn.in_proj_qkv",
513
+ "language_model.model.layers.57.linear_attn.in_proj_z",
514
+ "language_model.model.layers.57.linear_attn.out_proj",
515
+ "language_model.model.layers.57.mlp.down_proj",
516
+ "language_model.model.layers.57.mlp.gate_proj",
517
+ "language_model.model.layers.57.mlp.up_proj",
518
+ "language_model.model.layers.58.linear_attn.in_proj_a",
519
+ "language_model.model.layers.58.linear_attn.in_proj_b",
520
+ "language_model.model.layers.58.linear_attn.in_proj_qkv",
521
+ "language_model.model.layers.58.linear_attn.in_proj_z",
522
+ "language_model.model.layers.58.linear_attn.out_proj",
523
+ "language_model.model.layers.58.mlp.down_proj",
524
+ "language_model.model.layers.58.mlp.gate_proj",
525
+ "language_model.model.layers.58.mlp.up_proj",
526
+ "language_model.model.layers.59.mlp.down_proj",
527
+ "language_model.model.layers.59.mlp.gate_proj",
528
+ "language_model.model.layers.59.mlp.up_proj",
529
+ "language_model.model.layers.59.self_attn.k_proj",
530
+ "language_model.model.layers.59.self_attn.o_proj",
531
+ "language_model.model.layers.59.self_attn.q_proj",
532
+ "language_model.model.layers.59.self_attn.v_proj",
533
+ "language_model.model.layers.6.linear_attn.in_proj_a",
534
+ "language_model.model.layers.6.linear_attn.in_proj_b",
535
+ "language_model.model.layers.6.linear_attn.in_proj_qkv",
536
+ "language_model.model.layers.6.linear_attn.in_proj_z",
537
+ "language_model.model.layers.6.linear_attn.out_proj",
538
+ "language_model.model.layers.6.mlp.down_proj",
539
+ "language_model.model.layers.6.mlp.gate_proj",
540
+ "language_model.model.layers.6.mlp.up_proj",
541
+ "language_model.model.layers.60.linear_attn.in_proj_a",
542
+ "language_model.model.layers.60.linear_attn.in_proj_b",
543
+ "language_model.model.layers.60.linear_attn.in_proj_qkv",
544
+ "language_model.model.layers.60.linear_attn.in_proj_z",
545
+ "language_model.model.layers.60.linear_attn.out_proj",
546
+ "language_model.model.layers.60.mlp.down_proj",
547
+ "language_model.model.layers.60.mlp.gate_proj",
548
+ "language_model.model.layers.60.mlp.up_proj",
549
+ "language_model.model.layers.61.linear_attn.in_proj_a",
550
+ "language_model.model.layers.61.linear_attn.in_proj_b",
551
+ "language_model.model.layers.61.linear_attn.in_proj_qkv",
552
+ "language_model.model.layers.61.linear_attn.in_proj_z",
553
+ "language_model.model.layers.61.linear_attn.out_proj",
554
+ "language_model.model.layers.61.mlp.down_proj",
555
+ "language_model.model.layers.61.mlp.gate_proj",
556
+ "language_model.model.layers.61.mlp.up_proj",
557
+ "language_model.model.layers.62.linear_attn.in_proj_a",
558
+ "language_model.model.layers.62.linear_attn.in_proj_b",
559
+ "language_model.model.layers.62.linear_attn.in_proj_qkv",
560
+ "language_model.model.layers.62.linear_attn.in_proj_z",
561
+ "language_model.model.layers.62.linear_attn.out_proj",
562
+ "language_model.model.layers.62.mlp.down_proj",
563
+ "language_model.model.layers.62.mlp.gate_proj",
564
+ "language_model.model.layers.62.mlp.up_proj",
565
+ "language_model.model.layers.63.mlp.down_proj",
566
+ "language_model.model.layers.63.mlp.gate_proj",
567
+ "language_model.model.layers.63.mlp.up_proj",
568
+ "language_model.model.layers.63.self_attn.k_proj",
569
+ "language_model.model.layers.63.self_attn.o_proj",
570
+ "language_model.model.layers.63.self_attn.q_proj",
571
+ "language_model.model.layers.63.self_attn.v_proj",
572
+ "language_model.model.layers.7.mlp.down_proj",
573
+ "language_model.model.layers.7.mlp.gate_proj",
574
+ "language_model.model.layers.7.mlp.up_proj",
575
+ "language_model.model.layers.7.self_attn.k_proj",
576
+ "language_model.model.layers.7.self_attn.o_proj",
577
+ "language_model.model.layers.7.self_attn.q_proj",
578
+ "language_model.model.layers.7.self_attn.v_proj",
579
+ "language_model.model.layers.8.linear_attn.in_proj_a",
580
+ "language_model.model.layers.8.linear_attn.in_proj_b",
581
+ "language_model.model.layers.8.linear_attn.in_proj_qkv",
582
+ "language_model.model.layers.8.linear_attn.in_proj_z",
583
+ "language_model.model.layers.8.linear_attn.out_proj",
584
+ "language_model.model.layers.8.mlp.down_proj",
585
+ "language_model.model.layers.8.mlp.gate_proj",
586
+ "language_model.model.layers.8.mlp.up_proj",
587
+ "language_model.model.layers.9.linear_attn.in_proj_a",
588
+ "language_model.model.layers.9.linear_attn.in_proj_b",
589
+ "language_model.model.layers.9.linear_attn.in_proj_qkv",
590
+ "language_model.model.layers.9.linear_attn.in_proj_z",
591
+ "language_model.model.layers.9.linear_attn.out_proj",
592
+ "language_model.model.layers.9.mlp.down_proj",
593
+ "language_model.model.layers.9.mlp.gate_proj",
594
+ "language_model.model.layers.9.mlp.up_proj",
595
+ "language_model.mtp.layers.0.mlp.down_proj",
596
+ "language_model.mtp.layers.0.mlp.gate_proj",
597
+ "language_model.mtp.layers.0.mlp.up_proj",
598
+ "language_model.mtp.layers.0.self_attn.k_proj",
599
+ "language_model.mtp.layers.0.self_attn.o_proj",
600
+ "language_model.mtp.layers.0.self_attn.q_proj",
601
+ "language_model.mtp.layers.0.self_attn.v_proj"
602
+ ],
603
+ "missing": [
604
+ "language_model.lm_head",
605
+ "language_model.model.embed_tokens"
606
+ ],
607
+ "mismatched": [],
608
+ "zero_count_experts": 0
609
+ }
preprocessor_config.json ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "size": {
3
+ "longest_edge": 16777216,
4
+ "shortest_edge": 65536
5
+ },
6
+ "patch_size": 16,
7
+ "temporal_patch_size": 2,
8
+ "merge_size": 2,
9
+ "image_mean": [
10
+ 0.5,
11
+ 0.5,
12
+ 0.5
13
+ ],
14
+ "image_std": [
15
+ 0.5,
16
+ 0.5,
17
+ 0.5
18
+ ],
19
+ "processor_class": "Qwen3VLProcessor",
20
+ "image_processor_type": "Qwen2VLImageProcessorFast"
21
+ }
tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0997f410c57a1f4e53b09e4be8f4a172d90edd9564368fb0847030937229b9f3
3
+ size 12809320
tokenizer_config.json ADDED
@@ -0,0 +1,305 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "added_tokens_decoder": {
4
+ "248044": {
5
+ "content": "<|endoftext|>",
6
+ "lstrip": false,
7
+ "normalized": false,
8
+ "rstrip": false,
9
+ "single_word": false,
10
+ "special": true
11
+ },
12
+ "248045": {
13
+ "content": "<|im_start|>",
14
+ "lstrip": false,
15
+ "normalized": false,
16
+ "rstrip": false,
17
+ "single_word": false,
18
+ "special": true
19
+ },
20
+ "248046": {
21
+ "content": "<|im_end|>",
22
+ "lstrip": false,
23
+ "normalized": false,
24
+ "rstrip": false,
25
+ "single_word": false,
26
+ "special": true
27
+ },
28
+ "248047": {
29
+ "content": "<|object_ref_start|>",
30
+ "lstrip": false,
31
+ "normalized": false,
32
+ "rstrip": false,
33
+ "single_word": false,
34
+ "special": true
35
+ },
36
+ "248048": {
37
+ "content": "<|object_ref_end|>",
38
+ "lstrip": false,
39
+ "normalized": false,
40
+ "rstrip": false,
41
+ "single_word": false,
42
+ "special": true
43
+ },
44
+ "248049": {
45
+ "content": "<|box_start|>",
46
+ "lstrip": false,
47
+ "normalized": false,
48
+ "rstrip": false,
49
+ "single_word": false,
50
+ "special": true
51
+ },
52
+ "248050": {
53
+ "content": "<|box_end|>",
54
+ "lstrip": false,
55
+ "normalized": false,
56
+ "rstrip": false,
57
+ "single_word": false,
58
+ "special": true
59
+ },
60
+ "248051": {
61
+ "content": "<|quad_start|>",
62
+ "lstrip": false,
63
+ "normalized": false,
64
+ "rstrip": false,
65
+ "single_word": false,
66
+ "special": true
67
+ },
68
+ "248052": {
69
+ "content": "<|quad_end|>",
70
+ "lstrip": false,
71
+ "normalized": false,
72
+ "rstrip": false,
73
+ "single_word": false,
74
+ "special": true
75
+ },
76
+ "248053": {
77
+ "content": "<|vision_start|>",
78
+ "lstrip": false,
79
+ "normalized": false,
80
+ "rstrip": false,
81
+ "single_word": false,
82
+ "special": true
83
+ },
84
+ "248054": {
85
+ "content": "<|vision_end|>",
86
+ "lstrip": false,
87
+ "normalized": false,
88
+ "rstrip": false,
89
+ "single_word": false,
90
+ "special": true
91
+ },
92
+ "248055": {
93
+ "content": "<|vision_pad|>",
94
+ "lstrip": false,
95
+ "normalized": false,
96
+ "rstrip": false,
97
+ "single_word": false,
98
+ "special": true
99
+ },
100
+ "248056": {
101
+ "content": "<|image_pad|>",
102
+ "lstrip": false,
103
+ "normalized": false,
104
+ "rstrip": false,
105
+ "single_word": false,
106
+ "special": true
107
+ },
108
+ "248057": {
109
+ "content": "<|video_pad|>",
110
+ "lstrip": false,
111
+ "normalized": false,
112
+ "rstrip": false,
113
+ "single_word": false,
114
+ "special": true
115
+ },
116
+ "248058": {
117
+ "content": "<tool_call>",
118
+ "lstrip": false,
119
+ "normalized": false,
120
+ "rstrip": false,
121
+ "single_word": false,
122
+ "special": false
123
+ },
124
+ "248059": {
125
+ "content": "</tool_call>",
126
+ "lstrip": false,
127
+ "normalized": false,
128
+ "rstrip": false,
129
+ "single_word": false,
130
+ "special": false
131
+ },
132
+ "248060": {
133
+ "content": "<|fim_prefix|>",
134
+ "lstrip": false,
135
+ "normalized": false,
136
+ "rstrip": false,
137
+ "single_word": false,
138
+ "special": false
139
+ },
140
+ "248061": {
141
+ "content": "<|fim_middle|>",
142
+ "lstrip": false,
143
+ "normalized": false,
144
+ "rstrip": false,
145
+ "single_word": false,
146
+ "special": false
147
+ },
148
+ "248062": {
149
+ "content": "<|fim_suffix|>",
150
+ "lstrip": false,
151
+ "normalized": false,
152
+ "rstrip": false,
153
+ "single_word": false,
154
+ "special": false
155
+ },
156
+ "248063": {
157
+ "content": "<|fim_pad|>",
158
+ "lstrip": false,
159
+ "normalized": false,
160
+ "rstrip": false,
161
+ "single_word": false,
162
+ "special": false
163
+ },
164
+ "248064": {
165
+ "content": "<|repo_name|>",
166
+ "lstrip": false,
167
+ "normalized": false,
168
+ "rstrip": false,
169
+ "single_word": false,
170
+ "special": false
171
+ },
172
+ "248065": {
173
+ "content": "<|file_sep|>",
174
+ "lstrip": false,
175
+ "normalized": false,
176
+ "rstrip": false,
177
+ "single_word": false,
178
+ "special": false
179
+ },
180
+ "248066": {
181
+ "content": "<tool_response>",
182
+ "lstrip": false,
183
+ "normalized": false,
184
+ "rstrip": false,
185
+ "single_word": false,
186
+ "special": false
187
+ },
188
+ "248067": {
189
+ "content": "</tool_response>",
190
+ "lstrip": false,
191
+ "normalized": false,
192
+ "rstrip": false,
193
+ "single_word": false,
194
+ "special": false
195
+ },
196
+ "248068": {
197
+ "content": "<think>",
198
+ "lstrip": false,
199
+ "normalized": false,
200
+ "rstrip": false,
201
+ "single_word": false,
202
+ "special": false
203
+ },
204
+ "248069": {
205
+ "content": "</think>",
206
+ "lstrip": false,
207
+ "normalized": false,
208
+ "rstrip": false,
209
+ "single_word": false,
210
+ "special": false
211
+ },
212
+ "248070": {
213
+ "content": "<|audio_start|>",
214
+ "lstrip": false,
215
+ "normalized": false,
216
+ "rstrip": false,
217
+ "single_word": false,
218
+ "special": true
219
+ },
220
+ "248071": {
221
+ "content": "<|audio_end|>",
222
+ "lstrip": false,
223
+ "normalized": false,
224
+ "rstrip": false,
225
+ "single_word": false,
226
+ "special": true
227
+ },
228
+ "248072": {
229
+ "content": "<tts_pad>",
230
+ "lstrip": false,
231
+ "normalized": false,
232
+ "rstrip": false,
233
+ "single_word": false,
234
+ "special": true
235
+ },
236
+ "248073": {
237
+ "content": "<tts_text_bos>",
238
+ "lstrip": false,
239
+ "normalized": false,
240
+ "rstrip": false,
241
+ "single_word": false,
242
+ "special": true
243
+ },
244
+ "248074": {
245
+ "content": "<tts_text_eod>",
246
+ "lstrip": false,
247
+ "normalized": false,
248
+ "rstrip": false,
249
+ "single_word": false,
250
+ "special": true
251
+ },
252
+ "248075": {
253
+ "content": "<tts_text_bos_single>",
254
+ "lstrip": false,
255
+ "normalized": false,
256
+ "rstrip": false,
257
+ "single_word": false,
258
+ "special": true
259
+ },
260
+ "248076": {
261
+ "content": "<|audio_pad|>",
262
+ "lstrip": false,
263
+ "normalized": false,
264
+ "rstrip": false,
265
+ "single_word": false,
266
+ "special": true
267
+ }
268
+ },
269
+ "additional_special_tokens": [
270
+ "<|im_start|>",
271
+ "<|im_end|>",
272
+ "<|object_ref_start|>",
273
+ "<|object_ref_end|>",
274
+ "<|box_start|>",
275
+ "<|box_end|>",
276
+ "<|quad_start|>",
277
+ "<|quad_end|>",
278
+ "<|vision_start|>",
279
+ "<|vision_end|>",
280
+ "<|vision_pad|>",
281
+ "<|image_pad|>",
282
+ "<|video_pad|>"
283
+ ],
284
+ "bos_token": null,
285
+ "chat_template": "{%- set image_count = namespace(value=0) %}\n{%- set video_count = namespace(value=0) %}\n{%- macro render_content(content, do_vision_count, is_system_content=false) %}\n {%- if content is string %}\n {{- content }}\n {%- elif content is iterable and content is not mapping %}\n {%- for item in content %}\n {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}\n {%- if is_system_content %}\n {{- raise_exception('System message cannot contain images.') }}\n {%- endif %}\n {%- if do_vision_count %}\n {%- set image_count.value = image_count.value + 1 %}\n {%- endif %}\n {%- if add_vision_id %}\n {{- 'Picture ' ~ image_count.value ~ ': ' }}\n {%- endif %}\n {{- '<|vision_start|><|image_pad|><|vision_end|>' }}\n {%- elif 'video' in item or item.type == 'video' %}\n {%- if is_system_content %}\n {{- raise_exception('System message cannot contain videos.') }}\n {%- endif %}\n {%- if do_vision_count %}\n {%- set video_count.value = video_count.value + 1 %}\n {%- endif %}\n {%- if add_vision_id %}\n {{- 'Video ' ~ video_count.value ~ ': ' }}\n {%- endif %}\n {{- '<|vision_start|><|video_pad|><|vision_end|>' }}\n {%- elif 'text' in item %}\n {{- item.text }}\n {%- else %}\n {{- raise_exception('Unexpected item type in content.') }}\n {%- endif %}\n {%- endfor %}\n {%- elif content is none or content is undefined %}\n {{- '' }}\n {%- else %}\n {{- raise_exception('Unexpected content type.') }}\n {%- endif %}\n{%- endmacro %}\n{%- if not messages %}\n {{- raise_exception('No messages provided.') }}\n{%- endif %}\n{%- set reasoning_instructions = '' %}\n{%- if enable_thinking is undefined or enable_thinking is true %}\n {%- set resolved_reasoning_effort = reasoning_effort|default('xhigh') %}\n {%- if resolved_reasoning_effort not in ('xhigh', 'medium', 'low') %}\n {{- raise_exception('Unexpected reasoning effort ' ~ reasoning_effort ~ '. Supported types are xhigh (default), medium, and low.') }}\n {%- endif %}\n {%- if resolved_reasoning_effort == 'xhigh' %}\n {%- set reasoning_instructions = 'Reasoning effort is set to xhigh. Please think carefully through the task, validate key assumptions, consider plausible alternatives, and prioritize correctness, consistency, and clarity in the final answer.' %}\n {%- elif resolved_reasoning_effort == 'low' %}\n {%- set reasoning_instructions = 'Reasoning effort is set to low. Keep your thinking brief and focused, moving directly to the conclusion without unnecessary elaboration.' %}\n {%- endif %}\n{%- endif %}\n{%- if tools and tools is iterable and tools is not mapping %}\n {{- '<|im_start|>system\\n' }}\n {%- if reasoning_instructions %}\n {{- reasoning_instructions + '\\n\\n' }}\n {%- endif %}\n {{- \"# Tools\\n\\nYou have access to the following functions:\\n\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\" }}\n {{- '\\n\\nIf you choose to call a function ONLY reply in the following format with NO suffix:\\n\\n<tool_call>\\n<function=example_function_name>\\n<parameter=example_parameter_1>\\nvalue_1\\n</parameter>\\n<parameter=example_parameter_2>\\nThis is the value for the second parameter\\nthat can span\\nmultiple lines\\n</parameter>\\n</function>\\n</tool_call>\\n\\n<IMPORTANT>\\nReminder:\\n- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags\\n- Required parameters MUST be specified\\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\\n</IMPORTANT>' }}\n {%- if messages[0].role == 'system' %}\n {%- set content = render_content(messages[0].content, false, true)|trim %}\n {%- if content %}\n {{- '\\n\\n' + content }}\n {%- endif %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n{%- else %}\n {%- if messages[0].role == 'system' %}\n {%- set content = render_content(messages[0].content, false, true)|trim %}\n {%- if content %}\n {{- '<|im_start|>system\\n' + (reasoning_instructions + '\\n\\n' if reasoning_instructions else '') + content + '<|im_end|>\\n' }}\n {%- elif reasoning_instructions %}\n {{- '<|im_start|>system\\n' + reasoning_instructions + '<|im_end|>\\n' }}\n {%- endif %}\n {%- elif reasoning_instructions %}\n {{- '<|im_start|>system\\n' + reasoning_instructions + '<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n {%- set index = (messages|length - 1) - loop.index0 %}\n {%- if ns.multi_step_tool and message.role == \"user\" %}\n {%- set content = render_content(message.content, false)|trim %}\n {%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}\n {%- set ns.multi_step_tool = false %}\n {%- set ns.last_query_index = index %}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if ns.multi_step_tool %}\n {{- raise_exception('No user query found in messages.') }}\n{%- endif %}\n{%- for message in messages %}\n {%- set content = render_content(message.content, true)|trim %}\n {%- if message.role == \"system\" %}\n {%- if not loop.first %}\n {{- raise_exception('System message must be at the beginning.') }}\n {%- endif %}\n {%- elif message.role == \"user\" %}\n {{- '<|im_start|>' + message.role + '\\n' + content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {%- set reasoning_content = '' %}\n {%- if message.reasoning_content is string %}\n {%- set reasoning_content = message.reasoning_content %}\n {%- endif %}\n {%- set reasoning_content = reasoning_content|trim %}\n {%- if preserve_thinking is undefined or preserve_thinking is true or loop.index0 > ns.last_query_index %}\n {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content + '\\n</think>\\n\\n' + content }}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {%- if loop.first %}\n {%- if content|trim %}\n {{- '\\n\\n<tool_call>\\n<function=' + tool_call.name + '>\\n' }}\n {%- else %}\n {{- '<tool_call>\\n<function=' + tool_call.name + '>\\n' }}\n {%- endif %}\n {%- else %}\n {{- '\\n<tool_call>\\n<function=' + tool_call.name + '>\\n' }}\n {%- endif %}\n {%- if tool_call.arguments is defined and tool_call.arguments != '' %}\n {%- for args_name, args_value in tool_call.arguments|items %}\n {{- '<parameter=' + args_name + '>\\n' }}\n {%- set args_value = args_value | string if args_value is string else args_value | tojson | safe %}\n {{- args_value }}\n {{- '\\n</parameter>\\n' }}\n {%- endfor %}\n {%- endif %}\n {{- '</function>\\n</tool_call>' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.previtem and loop.previtem.role != \"tool\" %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- content }}\n {{- '\\n</tool_response>' }}\n {%- if not loop.last and loop.nextitem.role != \"tool\" %}\n {{- '<|im_end|>\\n' }}\n {%- elif loop.last %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- else %}\n {{- raise_exception('Unexpected message role.') }}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n {%- if enable_thinking is defined and enable_thinking is false %}\n {{- '<think>\\n\\n</think>\\n\\n' }}\n {%- else %}\n {{- '<think>\\n' }}\n {%- endif %}\n{%- endif %}",
286
+ "clean_up_tokenization_spaces": false,
287
+ "eos_token": "<|im_end|>",
288
+ "errors": "replace",
289
+ "model_max_length": 262144,
290
+ "pad_token": "<|endoftext|>",
291
+ "split_special_tokens": false,
292
+ "tokenizer_class": "Qwen2Tokenizer",
293
+ "unk_token": null,
294
+ "add_bos_token": false,
295
+ "pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
296
+ "extra_special_tokens": {
297
+ "audio_bos_token": "<|audio_start|>",
298
+ "audio_eos_token": "<|audio_end|>",
299
+ "audio_token": "<|audio_pad|>",
300
+ "image_token": "<|image_pad|>",
301
+ "video_token": "<|video_pad|>",
302
+ "vision_bos_token": "<|vision_start|>",
303
+ "vision_eos_token": "<|vision_end|>"
304
+ }
305
+ }
video_preprocessor_config.json ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "size": {
3
+ "longest_edge": 25165824,
4
+ "shortest_edge": 4096
5
+ },
6
+ "patch_size": 16,
7
+ "temporal_patch_size": 2,
8
+ "merge_size": 2,
9
+ "image_mean": [
10
+ 0.5,
11
+ 0.5,
12
+ 0.5
13
+ ],
14
+ "image_std": [
15
+ 0.5,
16
+ 0.5,
17
+ 0.5
18
+ ],
19
+ "processor_class": "Qwen3VLProcessor",
20
+ "video_processor_type": "Qwen3VLVideoProcessor"
21
+ }
vocab.json ADDED
The diff for this file is too large to render. See raw diff