Hugging Face's logo

INC4AI
/
UI-Mate-27B-AutoRound

Safetensors
qwen3_5
4-bit precision
auto-round
Model card Files
xet
 Community
INC4AI commited on
Commit
0dbc426
·
verified ·
1 Parent(s): b1bbcf1

Upload quantized model

Browse files
Files changed (18) hide show
  1. .gitattributes +1 -0
  2. README.md +0 -0
  3. chat_template.jinja +154 -0
  4. config.json +544 -0
  5. generation_config.json +13 -0
  6. model-00001-of-00007.safetensors +3 -0
  7. model-00002-of-00007.safetensors +3 -0
  8. model-00003-of-00007.safetensors +3 -0
  9. model-00004-of-00007.safetensors +3 -0
  10. model-00005-of-00007.safetensors +3 -0
  11. model-00006-of-00007.safetensors +3 -0
  12. model-00007-of-00007.safetensors +3 -0
  13. model.safetensors.index.json +0 -0
  14. preprocessor_config.json +27 -0
  15. processor_config.json +63 -0
  16. quantization_config.json +398 -0
  17. tokenizer.json +3 -0
  18. tokenizer_config.json +33 -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
README.md ADDED
File without changes
chat_template.jinja ADDED
@@ -0,0 +1,154 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
+ {%- if tools and tools is iterable and tools is not mapping %}
46
+ {{- '<|im_start|>system\n' }}
47
+ {{- "# Tools\n\nYou have access to the following functions:\n\n<tools>" }}
48
+ {%- for tool in tools %}
49
+ {{- "\n" }}
50
+ {{- tool | tojson }}
51
+ {%- endfor %}
52
+ {{- "\n</tools>" }}
53
+ {{- '\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>' }}
54
+ {%- if messages[0].role == 'system' %}
55
+ {%- set content = render_content(messages[0].content, false, true)|trim %}
56
+ {%- if content %}
57
+ {{- '\n\n' + content }}
58
+ {%- endif %}
59
+ {%- endif %}
60
+ {{- '<|im_end|>\n' }}
61
+ {%- else %}
62
+ {%- if messages[0].role == 'system' %}
63
+ {%- set content = render_content(messages[0].content, false, true)|trim %}
64
+ {{- '<|im_start|>system\n' + content + '<|im_end|>\n' }}
65
+ {%- endif %}
66
+ {%- endif %}
67
+ {%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
68
+ {%- for message in messages[::-1] %}
69
+ {%- set index = (messages|length - 1) - loop.index0 %}
70
+ {%- if ns.multi_step_tool and message.role == "user" %}
71
+ {%- set content = render_content(message.content, false)|trim %}
72
+ {%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}
73
+ {%- set ns.multi_step_tool = false %}
74
+ {%- set ns.last_query_index = index %}
75
+ {%- endif %}
76
+ {%- endif %}
77
+ {%- endfor %}
78
+ {%- if ns.multi_step_tool %}
79
+ {{- raise_exception('No user query found in messages.') }}
80
+ {%- endif %}
81
+ {%- for message in messages %}
82
+ {%- set content = render_content(message.content, true)|trim %}
83
+ {%- if message.role == "system" %}
84
+ {%- if not loop.first %}
85
+ {{- raise_exception('System message must be at the beginning.') }}
86
+ {%- endif %}
87
+ {%- elif message.role == "user" %}
88
+ {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
89
+ {%- elif message.role == "assistant" %}
90
+ {%- set reasoning_content = '' %}
91
+ {%- if message.reasoning_content is string %}
92
+ {%- set reasoning_content = message.reasoning_content %}
93
+ {%- else %}
94
+ {%- if '</think>' in content %}
95
+ {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
96
+ {%- set content = content.split('</think>')[-1].lstrip('\n') %}
97
+ {%- endif %}
98
+ {%- endif %}
99
+ {%- set reasoning_content = reasoning_content|trim %}
100
+ {%- if (preserve_thinking is defined and preserve_thinking is true) or (loop.index0 > ns.last_query_index) %}
101
+ {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content + '\n</think>\n\n' + content }}
102
+ {%- else %}
103
+ {{- '<|im_start|>' + message.role + '\n' + content }}
104
+ {%- endif %}
105
+ {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
106
+ {%- for tool_call in message.tool_calls %}
107
+ {%- if tool_call.function is defined %}
108
+ {%- set tool_call = tool_call.function %}
109
+ {%- endif %}
110
+ {%- if loop.first %}
111
+ {%- if content|trim %}
112
+ {{- '\n\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
113
+ {%- else %}
114
+ {{- '<tool_call>\n<function=' + tool_call.name + '>\n' }}
115
+ {%- endif %}
116
+ {%- else %}
117
+ {{- '\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
118
+ {%- endif %}
119
+ {%- if tool_call.arguments is defined %}
120
+ {%- for args_name, args_value in tool_call.arguments|items %}
121
+ {{- '<parameter=' + args_name + '>\n' }}
122
+ {%- set args_value = args_value | string if args_value is string else args_value | tojson | safe %}
123
+ {{- args_value }}
124
+ {{- '\n</parameter>\n' }}
125
+ {%- endfor %}
126
+ {%- endif %}
127
+ {{- '</function>\n</tool_call>' }}
128
+ {%- endfor %}
129
+ {%- endif %}
130
+ {{- '<|im_end|>\n' }}
131
+ {%- elif message.role == "tool" %}
132
+ {%- if loop.previtem and loop.previtem.role != "tool" %}
133
+ {{- '<|im_start|>user' }}
134
+ {%- endif %}
135
+ {{- '\n<tool_response>\n' }}
136
+ {{- content }}
137
+ {{- '\n</tool_response>' }}
138
+ {%- if not loop.last and loop.nextitem.role != "tool" %}
139
+ {{- '<|im_end|>\n' }}
140
+ {%- elif loop.last %}
141
+ {{- '<|im_end|>\n' }}
142
+ {%- endif %}
143
+ {%- else %}
144
+ {{- raise_exception('Unexpected message role.') }}
145
+ {%- endif %}
146
+ {%- endfor %}
147
+ {%- if add_generation_prompt %}
148
+ {{- '<|im_start|>assistant\n' }}
149
+ {%- if enable_thinking is defined and enable_thinking is false %}
150
+ {{- '<think>\n\n</think>\n\n' }}
151
+ {%- else %}
152
+ {{- '<think>\n' }}
153
+ {%- endif %}
154
+ {%- endif %}
config.json ADDED
@@ -0,0 +1,544 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Qwen3_5ForConditionalGeneration"
4
+ ],
5
+ "bos_token_id": null,
6
+ "dtype": "bfloat16",
7
+ "eos_token_id": 248046,
8
+ "hidden_size": 5120,
9
+ "image_token_id": 248056,
10
+ "language_model_only": false,
11
+ "model_type": "qwen3_5",
12
+ "pad_token_id": 248044,
13
+ "quantization_config": {
14
+ "autoround_version": "0.15.0",
15
+ "bits": 4,
16
+ "block_name_to_quantize": "model.language_model.layers",
17
+ "data_type": "int",
18
+ "extra_config": {
19
+ "model.language_model.layers.0.linear_attn.in_proj_a": {
20
+ "bits": 16,
21
+ "data_type": "fp"
22
+ },
23
+ "model.language_model.layers.0.linear_attn.in_proj_b": {
24
+ "bits": 16,
25
+ "data_type": "fp"
26
+ },
27
+ "model.language_model.layers.1.linear_attn.in_proj_a": {
28
+ "bits": 16,
29
+ "data_type": "fp"
30
+ },
31
+ "model.language_model.layers.1.linear_attn.in_proj_b": {
32
+ "bits": 16,
33
+ "data_type": "fp"
34
+ },
35
+ "model.language_model.layers.10.linear_attn.in_proj_a": {
36
+ "bits": 16,
37
+ "data_type": "fp"
38
+ },
39
+ "model.language_model.layers.10.linear_attn.in_proj_b": {
40
+ "bits": 16,
41
+ "data_type": "fp"
42
+ },
43
+ "model.language_model.layers.12.linear_attn.in_proj_a": {
44
+ "bits": 16,
45
+ "data_type": "fp"
46
+ },
47
+ "model.language_model.layers.12.linear_attn.in_proj_b": {
48
+ "bits": 16,
49
+ "data_type": "fp"
50
+ },
51
+ "model.language_model.layers.13.linear_attn.in_proj_a": {
52
+ "bits": 16,
53
+ "data_type": "fp"
54
+ },
55
+ "model.language_model.layers.13.linear_attn.in_proj_b": {
56
+ "bits": 16,
57
+ "data_type": "fp"
58
+ },
59
+ "model.language_model.layers.14.linear_attn.in_proj_a": {
60
+ "bits": 16,
61
+ "data_type": "fp"
62
+ },
63
+ "model.language_model.layers.14.linear_attn.in_proj_b": {
64
+ "bits": 16,
65
+ "data_type": "fp"
66
+ },
67
+ "model.language_model.layers.16.linear_attn.in_proj_a": {
68
+ "bits": 16,
69
+ "data_type": "fp"
70
+ },
71
+ "model.language_model.layers.16.linear_attn.in_proj_b": {
72
+ "bits": 16,
73
+ "data_type": "fp"
74
+ },
75
+ "model.language_model.layers.17.linear_attn.in_proj_a": {
76
+ "bits": 16,
77
+ "data_type": "fp"
78
+ },
79
+ "model.language_model.layers.17.linear_attn.in_proj_b": {
80
+ "bits": 16,
81
+ "data_type": "fp"
82
+ },
83
+ "model.language_model.layers.18.linear_attn.in_proj_a": {
84
+ "bits": 16,
85
+ "data_type": "fp"
86
+ },
87
+ "model.language_model.layers.18.linear_attn.in_proj_b": {
88
+ "bits": 16,
89
+ "data_type": "fp"
90
+ },
91
+ "model.language_model.layers.2.linear_attn.in_proj_a": {
92
+ "bits": 16,
93
+ "data_type": "fp"
94
+ },
95
+ "model.language_model.layers.2.linear_attn.in_proj_b": {
96
+ "bits": 16,
97
+ "data_type": "fp"
98
+ },
99
+ "model.language_model.layers.20.linear_attn.in_proj_a": {
100
+ "bits": 16,
101
+ "data_type": "fp"
102
+ },
103
+ "model.language_model.layers.20.linear_attn.in_proj_b": {
104
+ "bits": 16,
105
+ "data_type": "fp"
106
+ },
107
+ "model.language_model.layers.21.linear_attn.in_proj_a": {
108
+ "bits": 16,
109
+ "data_type": "fp"
110
+ },
111
+ "model.language_model.layers.21.linear_attn.in_proj_b": {
112
+ "bits": 16,
113
+ "data_type": "fp"
114
+ },
115
+ "model.language_model.layers.22.linear_attn.in_proj_a": {
116
+ "bits": 16,
117
+ "data_type": "fp"
118
+ },
119
+ "model.language_model.layers.22.linear_attn.in_proj_b": {
120
+ "bits": 16,
121
+ "data_type": "fp"
122
+ },
123
+ "model.language_model.layers.24.linear_attn.in_proj_a": {
124
+ "bits": 16,
125
+ "data_type": "fp"
126
+ },
127
+ "model.language_model.layers.24.linear_attn.in_proj_b": {
128
+ "bits": 16,
129
+ "data_type": "fp"
130
+ },
131
+ "model.language_model.layers.25.linear_attn.in_proj_a": {
132
+ "bits": 16,
133
+ "data_type": "fp"
134
+ },
135
+ "model.language_model.layers.25.linear_attn.in_proj_b": {
136
+ "bits": 16,
137
+ "data_type": "fp"
138
+ },
139
+ "model.language_model.layers.26.linear_attn.in_proj_a": {
140
+ "bits": 16,
141
+ "data_type": "fp"
142
+ },
143
+ "model.language_model.layers.26.linear_attn.in_proj_b": {
144
+ "bits": 16,
145
+ "data_type": "fp"
146
+ },
147
+ "model.language_model.layers.28.linear_attn.in_proj_a": {
148
+ "bits": 16,
149
+ "data_type": "fp"
150
+ },
151
+ "model.language_model.layers.28.linear_attn.in_proj_b": {
152
+ "bits": 16,
153
+ "data_type": "fp"
154
+ },
155
+ "model.language_model.layers.29.linear_attn.in_proj_a": {
156
+ "bits": 16,
157
+ "data_type": "fp"
158
+ },
159
+ "model.language_model.layers.29.linear_attn.in_proj_b": {
160
+ "bits": 16,
161
+ "data_type": "fp"
162
+ },
163
+ "model.language_model.layers.30.linear_attn.in_proj_a": {
164
+ "bits": 16,
165
+ "data_type": "fp"
166
+ },
167
+ "model.language_model.layers.30.linear_attn.in_proj_b": {
168
+ "bits": 16,
169
+ "data_type": "fp"
170
+ },
171
+ "model.language_model.layers.32.linear_attn.in_proj_a": {
172
+ "bits": 16,
173
+ "data_type": "fp"
174
+ },
175
+ "model.language_model.layers.32.linear_attn.in_proj_b": {
176
+ "bits": 16,
177
+ "data_type": "fp"
178
+ },
179
+ "model.language_model.layers.33.linear_attn.in_proj_a": {
180
+ "bits": 16,
181
+ "data_type": "fp"
182
+ },
183
+ "model.language_model.layers.33.linear_attn.in_proj_b": {
184
+ "bits": 16,
185
+ "data_type": "fp"
186
+ },
187
+ "model.language_model.layers.34.linear_attn.in_proj_a": {
188
+ "bits": 16,
189
+ "data_type": "fp"
190
+ },
191
+ "model.language_model.layers.34.linear_attn.in_proj_b": {
192
+ "bits": 16,
193
+ "data_type": "fp"
194
+ },
195
+ "model.language_model.layers.36.linear_attn.in_proj_a": {
196
+ "bits": 16,
197
+ "data_type": "fp"
198
+ },
199
+ "model.language_model.layers.36.linear_attn.in_proj_b": {
200
+ "bits": 16,
201
+ "data_type": "fp"
202
+ },
203
+ "model.language_model.layers.37.linear_attn.in_proj_a": {
204
+ "bits": 16,
205
+ "data_type": "fp"
206
+ },
207
+ "model.language_model.layers.37.linear_attn.in_proj_b": {
208
+ "bits": 16,
209
+ "data_type": "fp"
210
+ },
211
+ "model.language_model.layers.38.linear_attn.in_proj_a": {
212
+ "bits": 16,
213
+ "data_type": "fp"
214
+ },
215
+ "model.language_model.layers.38.linear_attn.in_proj_b": {
216
+ "bits": 16,
217
+ "data_type": "fp"
218
+ },
219
+ "model.language_model.layers.4.linear_attn.in_proj_a": {
220
+ "bits": 16,
221
+ "data_type": "fp"
222
+ },
223
+ "model.language_model.layers.4.linear_attn.in_proj_b": {
224
+ "bits": 16,
225
+ "data_type": "fp"
226
+ },
227
+ "model.language_model.layers.40.linear_attn.in_proj_a": {
228
+ "bits": 16,
229
+ "data_type": "fp"
230
+ },
231
+ "model.language_model.layers.40.linear_attn.in_proj_b": {
232
+ "bits": 16,
233
+ "data_type": "fp"
234
+ },
235
+ "model.language_model.layers.41.linear_attn.in_proj_a": {
236
+ "bits": 16,
237
+ "data_type": "fp"
238
+ },
239
+ "model.language_model.layers.41.linear_attn.in_proj_b": {
240
+ "bits": 16,
241
+ "data_type": "fp"
242
+ },
243
+ "model.language_model.layers.42.linear_attn.in_proj_a": {
244
+ "bits": 16,
245
+ "data_type": "fp"
246
+ },
247
+ "model.language_model.layers.42.linear_attn.in_proj_b": {
248
+ "bits": 16,
249
+ "data_type": "fp"
250
+ },
251
+ "model.language_model.layers.44.linear_attn.in_proj_a": {
252
+ "bits": 16,
253
+ "data_type": "fp"
254
+ },
255
+ "model.language_model.layers.44.linear_attn.in_proj_b": {
256
+ "bits": 16,
257
+ "data_type": "fp"
258
+ },
259
+ "model.language_model.layers.45.linear_attn.in_proj_a": {
260
+ "bits": 16,
261
+ "data_type": "fp"
262
+ },
263
+ "model.language_model.layers.45.linear_attn.in_proj_b": {
264
+ "bits": 16,
265
+ "data_type": "fp"
266
+ },
267
+ "model.language_model.layers.46.linear_attn.in_proj_a": {
268
+ "bits": 16,
269
+ "data_type": "fp"
270
+ },
271
+ "model.language_model.layers.46.linear_attn.in_proj_b": {
272
+ "bits": 16,
273
+ "data_type": "fp"
274
+ },
275
+ "model.language_model.layers.48.linear_attn.in_proj_a": {
276
+ "bits": 16,
277
+ "data_type": "fp"
278
+ },
279
+ "model.language_model.layers.48.linear_attn.in_proj_b": {
280
+ "bits": 16,
281
+ "data_type": "fp"
282
+ },
283
+ "model.language_model.layers.49.linear_attn.in_proj_a": {
284
+ "bits": 16,
285
+ "data_type": "fp"
286
+ },
287
+ "model.language_model.layers.49.linear_attn.in_proj_b": {
288
+ "bits": 16,
289
+ "data_type": "fp"
290
+ },
291
+ "model.language_model.layers.5.linear_attn.in_proj_a": {
292
+ "bits": 16,
293
+ "data_type": "fp"
294
+ },
295
+ "model.language_model.layers.5.linear_attn.in_proj_b": {
296
+ "bits": 16,
297
+ "data_type": "fp"
298
+ },
299
+ "model.language_model.layers.50.linear_attn.in_proj_a": {
300
+ "bits": 16,
301
+ "data_type": "fp"
302
+ },
303
+ "model.language_model.layers.50.linear_attn.in_proj_b": {
304
+ "bits": 16,
305
+ "data_type": "fp"
306
+ },
307
+ "model.language_model.layers.52.linear_attn.in_proj_a": {
308
+ "bits": 16,
309
+ "data_type": "fp"
310
+ },
311
+ "model.language_model.layers.52.linear_attn.in_proj_b": {
312
+ "bits": 16,
313
+ "data_type": "fp"
314
+ },
315
+ "model.language_model.layers.53.linear_attn.in_proj_a": {
316
+ "bits": 16,
317
+ "data_type": "fp"
318
+ },
319
+ "model.language_model.layers.53.linear_attn.in_proj_b": {
320
+ "bits": 16,
321
+ "data_type": "fp"
322
+ },
323
+ "model.language_model.layers.54.linear_attn.in_proj_a": {
324
+ "bits": 16,
325
+ "data_type": "fp"
326
+ },
327
+ "model.language_model.layers.54.linear_attn.in_proj_b": {
328
+ "bits": 16,
329
+ "data_type": "fp"
330
+ },
331
+ "model.language_model.layers.56.linear_attn.in_proj_a": {
332
+ "bits": 16,
333
+ "data_type": "fp"
334
+ },
335
+ "model.language_model.layers.56.linear_attn.in_proj_b": {
336
+ "bits": 16,
337
+ "data_type": "fp"
338
+ },
339
+ "model.language_model.layers.57.linear_attn.in_proj_a": {
340
+ "bits": 16,
341
+ "data_type": "fp"
342
+ },
343
+ "model.language_model.layers.57.linear_attn.in_proj_b": {
344
+ "bits": 16,
345
+ "data_type": "fp"
346
+ },
347
+ "model.language_model.layers.58.linear_attn.in_proj_a": {
348
+ "bits": 16,
349
+ "data_type": "fp"
350
+ },
351
+ "model.language_model.layers.58.linear_attn.in_proj_b": {
352
+ "bits": 16,
353
+ "data_type": "fp"
354
+ },
355
+ "model.language_model.layers.6.linear_attn.in_proj_a": {
356
+ "bits": 16,
357
+ "data_type": "fp"
358
+ },
359
+ "model.language_model.layers.6.linear_attn.in_proj_b": {
360
+ "bits": 16,
361
+ "data_type": "fp"
362
+ },
363
+ "model.language_model.layers.60.linear_attn.in_proj_a": {
364
+ "bits": 16,
365
+ "data_type": "fp"
366
+ },
367
+ "model.language_model.layers.60.linear_attn.in_proj_b": {
368
+ "bits": 16,
369
+ "data_type": "fp"
370
+ },
371
+ "model.language_model.layers.61.linear_attn.in_proj_a": {
372
+ "bits": 16,
373
+ "data_type": "fp"
374
+ },
375
+ "model.language_model.layers.61.linear_attn.in_proj_b": {
376
+ "bits": 16,
377
+ "data_type": "fp"
378
+ },
379
+ "model.language_model.layers.62.linear_attn.in_proj_a": {
380
+ "bits": 16,
381
+ "data_type": "fp"
382
+ },
383
+ "model.language_model.layers.62.linear_attn.in_proj_b": {
384
+ "bits": 16,
385
+ "data_type": "fp"
386
+ },
387
+ "model.language_model.layers.8.linear_attn.in_proj_a": {
388
+ "bits": 16,
389
+ "data_type": "fp"
390
+ },
391
+ "model.language_model.layers.8.linear_attn.in_proj_b": {
392
+ "bits": 16,
393
+ "data_type": "fp"
394
+ },
395
+ "model.language_model.layers.9.linear_attn.in_proj_a": {
396
+ "bits": 16,
397
+ "data_type": "fp"
398
+ },
399
+ "model.language_model.layers.9.linear_attn.in_proj_b": {
400
+ "bits": 16,
401
+ "data_type": "fp"
402
+ }
403
+ },
404
+ "group_size": 128,
405
+ "packing_format": "auto_round:auto_gptq",
406
+ "quant_method": "auto-round",
407
+ "static_attention_granularity": "tensor",
408
+ "static_kv_granularity": "tensor",
409
+ "sym": true
410
+ },
411
+ "text_config": {
412
+ "attention_bias": false,
413
+ "attention_dropout": 0.0,
414
+ "attn_output_gate": true,
415
+ "bos_token_id": 248044,
416
+ "dtype": "bfloat16",
417
+ "eos_token_id": 248044,
418
+ "full_attention_interval": 4,
419
+ "head_dim": 256,
420
+ "hidden_act": "silu",
421
+ "hidden_size": 5120,
422
+ "initializer_range": 0.02,
423
+ "intermediate_size": 17408,
424
+ "layer_types": [
425
+ "linear_attention",
426
+ "linear_attention",
427
+ "linear_attention",
428
+ "full_attention",
429
+ "linear_attention",
430
+ "linear_attention",
431
+ "linear_attention",
432
+ "full_attention",
433
+ "linear_attention",
434
+ "linear_attention",
435
+ "linear_attention",
436
+ "full_attention",
437
+ "linear_attention",
438
+ "linear_attention",
439
+ "linear_attention",
440
+ "full_attention",
441
+ "linear_attention",
442
+ "linear_attention",
443
+ "linear_attention",
444
+ "full_attention",
445
+ "linear_attention",
446
+ "linear_attention",
447
+ "linear_attention",
448
+ "full_attention",
449
+ "linear_attention",
450
+ "linear_attention",
451
+ "linear_attention",
452
+ "full_attention",
453
+ "linear_attention",
454
+ "linear_attention",
455
+ "linear_attention",
456
+ "full_attention",
457
+ "linear_attention",
458
+ "linear_attention",
459
+ "linear_attention",
460
+ "full_attention",
461
+ "linear_attention",
462
+ "linear_attention",
463
+ "linear_attention",
464
+ "full_attention",
465
+ "linear_attention",
466
+ "linear_attention",
467
+ "linear_attention",
468
+ "full_attention",
469
+ "linear_attention",
470
+ "linear_attention",
471
+ "linear_attention",
472
+ "full_attention",
473
+ "linear_attention",
474
+ "linear_attention",
475
+ "linear_attention",
476
+ "full_attention",
477
+ "linear_attention",
478
+ "linear_attention",
479
+ "linear_attention",
480
+ "full_attention",
481
+ "linear_attention",
482
+ "linear_attention",
483
+ "linear_attention",
484
+ "full_attention",
485
+ "linear_attention",
486
+ "linear_attention",
487
+ "linear_attention",
488
+ "full_attention"
489
+ ],
490
+ "linear_conv_kernel_dim": 4,
491
+ "linear_key_head_dim": 128,
492
+ "linear_num_key_heads": 16,
493
+ "linear_num_value_heads": 48,
494
+ "linear_value_head_dim": 128,
495
+ "mamba_ssm_dtype": "float32",
496
+ "max_position_embeddings": 262144,
497
+ "model_type": "qwen3_5_text",
498
+ "mtp_num_hidden_layers": 1,
499
+ "mtp_use_dedicated_embeddings": false,
500
+ "num_attention_heads": 24,
501
+ "num_hidden_layers": 64,
502
+ "num_key_value_heads": 4,
503
+ "output_gate_type": "swish",
504
+ "pad_token_id": 248044,
505
+ "partial_rotary_factor": 0.25,
506
+ "rms_norm_eps": 1e-06,
507
+ "rope_parameters": {
508
+ "mrope_interleaved": true,
509
+ "mrope_section": [
510
+ 11,
511
+ 11,
512
+ 10
513
+ ],
514
+ "partial_rotary_factor": 0.25,
515
+ "rope_theta": 10000000,
516
+ "rope_type": "default"
517
+ },
518
+ "tie_word_embeddings": false,
519
+ "use_cache": false,
520
+ "vocab_size": 248320
521
+ },
522
+ "tie_word_embeddings": false,
523
+ "transformers_version": "5.14.1",
524
+ "video_token_id": 248057,
525
+ "vision_config": {
526
+ "deepstack_visual_indexes": [],
527
+ "depth": 27,
528
+ "dtype": "bfloat16",
529
+ "hidden_act": "gelu_pytorch_tanh",
530
+ "hidden_size": 1152,
531
+ "in_channels": 3,
532
+ "initializer_range": 0.02,
533
+ "intermediate_size": 4304,
534
+ "model_type": "qwen3_5_vision",
535
+ "num_heads": 16,
536
+ "num_position_embeddings": 2304,
537
+ "out_hidden_size": 5120,
538
+ "patch_size": 16,
539
+ "spatial_merge_size": 2,
540
+ "temporal_patch_size": 2
541
+ },
542
+ "vision_end_token_id": 248054,
543
+ "vision_start_token_id": 248053
544
+ }
generation_config.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
+ "transformers_version": "5.14.1"
13
+ }
model-00001-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0cead9f3c44539d9b7eb0ae8e0f00a155031905e7472e5bbd5edf363b31861a7
3
+ size 3216489680
model-00002-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:33fb00ef4be779f8a7a56b4e8ea7009e28ac797112a2ec8f8b19068cb46b3d56
3
+ size 3190151576
model-00003-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:27485fb23fe6be893fdf424ce8850a249a359cbd35fe398f881c5ec5abe8292f
3
+ size 3219130488
model-00004-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:aa47a3a2c6b2a1688a259232fc854e2175ebf6933cc7d34b97295d98d8968f9a
3
+ size 3216860120
model-00005-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:11a678cd0e0a425a17b582cbf085c52bbd76ce700806bf1e4000f1be53f35b00
3
+ size 770164464
model-00006-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ab0405b1ea06bfa122e55d84a56e7759a294d849f00b04c9694b100694cac7c5
3
+ size 2542807272
model-00007-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:17574556eb0152de8987c994aa9b7e6752e89b2a39b0711dadac3a85b7be0916
3
+ size 2542796896
model.safetensors.index.json ADDED
The diff for this file is too large to render. See raw diff
 
preprocessor_config.json ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "data_format": "channels_first",
3
+ "do_convert_rgb": true,
4
+ "do_normalize": true,
5
+ "do_rescale": true,
6
+ "do_resize": true,
7
+ "image_mean": [
8
+ 0.5,
9
+ 0.5,
10
+ 0.5
11
+ ],
12
+ "image_processor_type": "Qwen2VLImageProcessor",
13
+ "image_std": [
14
+ 0.5,
15
+ 0.5,
16
+ 0.5
17
+ ],
18
+ "merge_size": 2,
19
+ "patch_size": 16,
20
+ "resample": 3,
21
+ "rescale_factor": 0.00392156862745098,
22
+ "size": {
23
+ "longest_edge": 16777216,
24
+ "shortest_edge": 65536
25
+ },
26
+ "temporal_patch_size": 2
27
+ }
processor_config.json ADDED
@@ -0,0 +1,63 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "image_processor": {
3
+ "data_format": "channels_first",
4
+ "do_convert_rgb": true,
5
+ "do_normalize": true,
6
+ "do_rescale": true,
7
+ "do_resize": true,
8
+ "image_mean": [
9
+ 0.5,
10
+ 0.5,
11
+ 0.5
12
+ ],
13
+ "image_processor_type": "Qwen2VLImageProcessor",
14
+ "image_std": [
15
+ 0.5,
16
+ 0.5,
17
+ 0.5
18
+ ],
19
+ "merge_size": 2,
20
+ "patch_size": 16,
21
+ "resample": 3,
22
+ "rescale_factor": 0.00392156862745098,
23
+ "size": {
24
+ "longest_edge": 16777216,
25
+ "shortest_edge": 65536
26
+ },
27
+ "temporal_patch_size": 2
28
+ },
29
+ "processor_class": "Qwen3VLProcessor",
30
+ "video_processor": {
31
+ "data_format": "channels_first",
32
+ "default_to_square": true,
33
+ "do_convert_rgb": true,
34
+ "do_normalize": true,
35
+ "do_rescale": true,
36
+ "do_resize": true,
37
+ "do_sample_frames": true,
38
+ "fps": 2,
39
+ "image_mean": [
40
+ 0.5,
41
+ 0.5,
42
+ 0.5
43
+ ],
44
+ "image_std": [
45
+ 0.5,
46
+ 0.5,
47
+ 0.5
48
+ ],
49
+ "max_frames": 768,
50
+ "merge_size": 2,
51
+ "min_frames": 4,
52
+ "patch_size": 16,
53
+ "resample": 3,
54
+ "rescale_factor": 0.00392156862745098,
55
+ "return_metadata": false,
56
+ "size": {
57
+ "longest_edge": 25165824,
58
+ "shortest_edge": 4096
59
+ },
60
+ "temporal_patch_size": 2,
61
+ "video_processor_type": "Qwen3VLVideoProcessor"
62
+ }
63
+ }
quantization_config.json ADDED
@@ -0,0 +1,398 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bits": 4,
3
+ "data_type": "int",
4
+ "group_size": 128,
5
+ "sym": true,
6
+ "static_attention_granularity": "tensor",
7
+ "static_kv_granularity": "tensor",
8
+ "autoround_version": "0.15.0",
9
+ "block_name_to_quantize": "model.language_model.layers",
10
+ "quant_method": "auto-round",
11
+ "packing_format": "auto_round:auto_gptq",
12
+ "extra_config": {
13
+ "model.language_model.layers.0.linear_attn.in_proj_b": {
14
+ "bits": 16,
15
+ "data_type": "fp"
16
+ },
17
+ "model.language_model.layers.0.linear_attn.in_proj_a": {
18
+ "bits": 16,
19
+ "data_type": "fp"
20
+ },
21
+ "model.language_model.layers.1.linear_attn.in_proj_b": {
22
+ "bits": 16,
23
+ "data_type": "fp"
24
+ },
25
+ "model.language_model.layers.1.linear_attn.in_proj_a": {
26
+ "bits": 16,
27
+ "data_type": "fp"
28
+ },
29
+ "model.language_model.layers.2.linear_attn.in_proj_b": {
30
+ "bits": 16,
31
+ "data_type": "fp"
32
+ },
33
+ "model.language_model.layers.2.linear_attn.in_proj_a": {
34
+ "bits": 16,
35
+ "data_type": "fp"
36
+ },
37
+ "model.language_model.layers.4.linear_attn.in_proj_b": {
38
+ "bits": 16,
39
+ "data_type": "fp"
40
+ },
41
+ "model.language_model.layers.4.linear_attn.in_proj_a": {
42
+ "bits": 16,
43
+ "data_type": "fp"
44
+ },
45
+ "model.language_model.layers.5.linear_attn.in_proj_b": {
46
+ "bits": 16,
47
+ "data_type": "fp"
48
+ },
49
+ "model.language_model.layers.5.linear_attn.in_proj_a": {
50
+ "bits": 16,
51
+ "data_type": "fp"
52
+ },
53
+ "model.language_model.layers.6.linear_attn.in_proj_b": {
54
+ "bits": 16,
55
+ "data_type": "fp"
56
+ },
57
+ "model.language_model.layers.6.linear_attn.in_proj_a": {
58
+ "bits": 16,
59
+ "data_type": "fp"
60
+ },
61
+ "model.language_model.layers.8.linear_attn.in_proj_b": {
62
+ "bits": 16,
63
+ "data_type": "fp"
64
+ },
65
+ "model.language_model.layers.8.linear_attn.in_proj_a": {
66
+ "bits": 16,
67
+ "data_type": "fp"
68
+ },
69
+ "model.language_model.layers.9.linear_attn.in_proj_b": {
70
+ "bits": 16,
71
+ "data_type": "fp"
72
+ },
73
+ "model.language_model.layers.9.linear_attn.in_proj_a": {
74
+ "bits": 16,
75
+ "data_type": "fp"
76
+ },
77
+ "model.language_model.layers.10.linear_attn.in_proj_b": {
78
+ "bits": 16,
79
+ "data_type": "fp"
80
+ },
81
+ "model.language_model.layers.10.linear_attn.in_proj_a": {
82
+ "bits": 16,
83
+ "data_type": "fp"
84
+ },
85
+ "model.language_model.layers.12.linear_attn.in_proj_b": {
86
+ "bits": 16,
87
+ "data_type": "fp"
88
+ },
89
+ "model.language_model.layers.12.linear_attn.in_proj_a": {
90
+ "bits": 16,
91
+ "data_type": "fp"
92
+ },
93
+ "model.language_model.layers.13.linear_attn.in_proj_b": {
94
+ "bits": 16,
95
+ "data_type": "fp"
96
+ },
97
+ "model.language_model.layers.13.linear_attn.in_proj_a": {
98
+ "bits": 16,
99
+ "data_type": "fp"
100
+ },
101
+ "model.language_model.layers.14.linear_attn.in_proj_b": {
102
+ "bits": 16,
103
+ "data_type": "fp"
104
+ },
105
+ "model.language_model.layers.14.linear_attn.in_proj_a": {
106
+ "bits": 16,
107
+ "data_type": "fp"
108
+ },
109
+ "model.language_model.layers.16.linear_attn.in_proj_b": {
110
+ "bits": 16,
111
+ "data_type": "fp"
112
+ },
113
+ "model.language_model.layers.16.linear_attn.in_proj_a": {
114
+ "bits": 16,
115
+ "data_type": "fp"
116
+ },
117
+ "model.language_model.layers.17.linear_attn.in_proj_b": {
118
+ "bits": 16,
119
+ "data_type": "fp"
120
+ },
121
+ "model.language_model.layers.17.linear_attn.in_proj_a": {
122
+ "bits": 16,
123
+ "data_type": "fp"
124
+ },
125
+ "model.language_model.layers.18.linear_attn.in_proj_b": {
126
+ "bits": 16,
127
+ "data_type": "fp"
128
+ },
129
+ "model.language_model.layers.18.linear_attn.in_proj_a": {
130
+ "bits": 16,
131
+ "data_type": "fp"
132
+ },
133
+ "model.language_model.layers.20.linear_attn.in_proj_b": {
134
+ "bits": 16,
135
+ "data_type": "fp"
136
+ },
137
+ "model.language_model.layers.20.linear_attn.in_proj_a": {
138
+ "bits": 16,
139
+ "data_type": "fp"
140
+ },
141
+ "model.language_model.layers.21.linear_attn.in_proj_b": {
142
+ "bits": 16,
143
+ "data_type": "fp"
144
+ },
145
+ "model.language_model.layers.21.linear_attn.in_proj_a": {
146
+ "bits": 16,
147
+ "data_type": "fp"
148
+ },
149
+ "model.language_model.layers.22.linear_attn.in_proj_b": {
150
+ "bits": 16,
151
+ "data_type": "fp"
152
+ },
153
+ "model.language_model.layers.22.linear_attn.in_proj_a": {
154
+ "bits": 16,
155
+ "data_type": "fp"
156
+ },
157
+ "model.language_model.layers.24.linear_attn.in_proj_b": {
158
+ "bits": 16,
159
+ "data_type": "fp"
160
+ },
161
+ "model.language_model.layers.24.linear_attn.in_proj_a": {
162
+ "bits": 16,
163
+ "data_type": "fp"
164
+ },
165
+ "model.language_model.layers.25.linear_attn.in_proj_b": {
166
+ "bits": 16,
167
+ "data_type": "fp"
168
+ },
169
+ "model.language_model.layers.25.linear_attn.in_proj_a": {
170
+ "bits": 16,
171
+ "data_type": "fp"
172
+ },
173
+ "model.language_model.layers.26.linear_attn.in_proj_b": {
174
+ "bits": 16,
175
+ "data_type": "fp"
176
+ },
177
+ "model.language_model.layers.26.linear_attn.in_proj_a": {
178
+ "bits": 16,
179
+ "data_type": "fp"
180
+ },
181
+ "model.language_model.layers.28.linear_attn.in_proj_b": {
182
+ "bits": 16,
183
+ "data_type": "fp"
184
+ },
185
+ "model.language_model.layers.28.linear_attn.in_proj_a": {
186
+ "bits": 16,
187
+ "data_type": "fp"
188
+ },
189
+ "model.language_model.layers.29.linear_attn.in_proj_b": {
190
+ "bits": 16,
191
+ "data_type": "fp"
192
+ },
193
+ "model.language_model.layers.29.linear_attn.in_proj_a": {
194
+ "bits": 16,
195
+ "data_type": "fp"
196
+ },
197
+ "model.language_model.layers.30.linear_attn.in_proj_b": {
198
+ "bits": 16,
199
+ "data_type": "fp"
200
+ },
201
+ "model.language_model.layers.30.linear_attn.in_proj_a": {
202
+ "bits": 16,
203
+ "data_type": "fp"
204
+ },
205
+ "model.language_model.layers.32.linear_attn.in_proj_b": {
206
+ "bits": 16,
207
+ "data_type": "fp"
208
+ },
209
+ "model.language_model.layers.32.linear_attn.in_proj_a": {
210
+ "bits": 16,
211
+ "data_type": "fp"
212
+ },
213
+ "model.language_model.layers.33.linear_attn.in_proj_b": {
214
+ "bits": 16,
215
+ "data_type": "fp"
216
+ },
217
+ "model.language_model.layers.33.linear_attn.in_proj_a": {
218
+ "bits": 16,
219
+ "data_type": "fp"
220
+ },
221
+ "model.language_model.layers.34.linear_attn.in_proj_b": {
222
+ "bits": 16,
223
+ "data_type": "fp"
224
+ },
225
+ "model.language_model.layers.34.linear_attn.in_proj_a": {
226
+ "bits": 16,
227
+ "data_type": "fp"
228
+ },
229
+ "model.language_model.layers.36.linear_attn.in_proj_b": {
230
+ "bits": 16,
231
+ "data_type": "fp"
232
+ },
233
+ "model.language_model.layers.36.linear_attn.in_proj_a": {
234
+ "bits": 16,
235
+ "data_type": "fp"
236
+ },
237
+ "model.language_model.layers.37.linear_attn.in_proj_b": {
238
+ "bits": 16,
239
+ "data_type": "fp"
240
+ },
241
+ "model.language_model.layers.37.linear_attn.in_proj_a": {
242
+ "bits": 16,
243
+ "data_type": "fp"
244
+ },
245
+ "model.language_model.layers.38.linear_attn.in_proj_b": {
246
+ "bits": 16,
247
+ "data_type": "fp"
248
+ },
249
+ "model.language_model.layers.38.linear_attn.in_proj_a": {
250
+ "bits": 16,
251
+ "data_type": "fp"
252
+ },
253
+ "model.language_model.layers.40.linear_attn.in_proj_b": {
254
+ "bits": 16,
255
+ "data_type": "fp"
256
+ },
257
+ "model.language_model.layers.40.linear_attn.in_proj_a": {
258
+ "bits": 16,
259
+ "data_type": "fp"
260
+ },
261
+ "model.language_model.layers.41.linear_attn.in_proj_b": {
262
+ "bits": 16,
263
+ "data_type": "fp"
264
+ },
265
+ "model.language_model.layers.41.linear_attn.in_proj_a": {
266
+ "bits": 16,
267
+ "data_type": "fp"
268
+ },
269
+ "model.language_model.layers.42.linear_attn.in_proj_b": {
270
+ "bits": 16,
271
+ "data_type": "fp"
272
+ },
273
+ "model.language_model.layers.42.linear_attn.in_proj_a": {
274
+ "bits": 16,
275
+ "data_type": "fp"
276
+ },
277
+ "model.language_model.layers.44.linear_attn.in_proj_b": {
278
+ "bits": 16,
279
+ "data_type": "fp"
280
+ },
281
+ "model.language_model.layers.44.linear_attn.in_proj_a": {
282
+ "bits": 16,
283
+ "data_type": "fp"
284
+ },
285
+ "model.language_model.layers.45.linear_attn.in_proj_b": {
286
+ "bits": 16,
287
+ "data_type": "fp"
288
+ },
289
+ "model.language_model.layers.45.linear_attn.in_proj_a": {
290
+ "bits": 16,
291
+ "data_type": "fp"
292
+ },
293
+ "model.language_model.layers.46.linear_attn.in_proj_b": {
294
+ "bits": 16,
295
+ "data_type": "fp"
296
+ },
297
+ "model.language_model.layers.46.linear_attn.in_proj_a": {
298
+ "bits": 16,
299
+ "data_type": "fp"
300
+ },
301
+ "model.language_model.layers.48.linear_attn.in_proj_b": {
302
+ "bits": 16,
303
+ "data_type": "fp"
304
+ },
305
+ "model.language_model.layers.48.linear_attn.in_proj_a": {
306
+ "bits": 16,
307
+ "data_type": "fp"
308
+ },
309
+ "model.language_model.layers.49.linear_attn.in_proj_b": {
310
+ "bits": 16,
311
+ "data_type": "fp"
312
+ },
313
+ "model.language_model.layers.49.linear_attn.in_proj_a": {
314
+ "bits": 16,
315
+ "data_type": "fp"
316
+ },
317
+ "model.language_model.layers.50.linear_attn.in_proj_b": {
318
+ "bits": 16,
319
+ "data_type": "fp"
320
+ },
321
+ "model.language_model.layers.50.linear_attn.in_proj_a": {
322
+ "bits": 16,
323
+ "data_type": "fp"
324
+ },
325
+ "model.language_model.layers.52.linear_attn.in_proj_b": {
326
+ "bits": 16,
327
+ "data_type": "fp"
328
+ },
329
+ "model.language_model.layers.52.linear_attn.in_proj_a": {
330
+ "bits": 16,
331
+ "data_type": "fp"
332
+ },
333
+ "model.language_model.layers.53.linear_attn.in_proj_b": {
334
+ "bits": 16,
335
+ "data_type": "fp"
336
+ },
337
+ "model.language_model.layers.53.linear_attn.in_proj_a": {
338
+ "bits": 16,
339
+ "data_type": "fp"
340
+ },
341
+ "model.language_model.layers.54.linear_attn.in_proj_b": {
342
+ "bits": 16,
343
+ "data_type": "fp"
344
+ },
345
+ "model.language_model.layers.54.linear_attn.in_proj_a": {
346
+ "bits": 16,
347
+ "data_type": "fp"
348
+ },
349
+ "model.language_model.layers.56.linear_attn.in_proj_b": {
350
+ "bits": 16,
351
+ "data_type": "fp"
352
+ },
353
+ "model.language_model.layers.56.linear_attn.in_proj_a": {
354
+ "bits": 16,
355
+ "data_type": "fp"
356
+ },
357
+ "model.language_model.layers.57.linear_attn.in_proj_b": {
358
+ "bits": 16,
359
+ "data_type": "fp"
360
+ },
361
+ "model.language_model.layers.57.linear_attn.in_proj_a": {
362
+ "bits": 16,
363
+ "data_type": "fp"
364
+ },
365
+ "model.language_model.layers.58.linear_attn.in_proj_b": {
366
+ "bits": 16,
367
+ "data_type": "fp"
368
+ },
369
+ "model.language_model.layers.58.linear_attn.in_proj_a": {
370
+ "bits": 16,
371
+ "data_type": "fp"
372
+ },
373
+ "model.language_model.layers.60.linear_attn.in_proj_b": {
374
+ "bits": 16,
375
+ "data_type": "fp"
376
+ },
377
+ "model.language_model.layers.60.linear_attn.in_proj_a": {
378
+ "bits": 16,
379
+ "data_type": "fp"
380
+ },
381
+ "model.language_model.layers.61.linear_attn.in_proj_b": {
382
+ "bits": 16,
383
+ "data_type": "fp"
384
+ },
385
+ "model.language_model.layers.61.linear_attn.in_proj_a": {
386
+ "bits": 16,
387
+ "data_type": "fp"
388
+ },
389
+ "model.language_model.layers.62.linear_attn.in_proj_b": {
390
+ "bits": 16,
391
+ "data_type": "fp"
392
+ },
393
+ "model.language_model.layers.62.linear_attn.in_proj_a": {
394
+ "bits": 16,
395
+ "data_type": "fp"
396
+ }
397
+ }
398
+ }
tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:87a7830d63fcf43bf241c3c5242e96e62dd3fdc29224ca26fed8ea333db72de4
3
+ size 19989343
tokenizer_config.json ADDED
@@ -0,0 +1,33 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "audio_bos_token": "<|audio_start|>",
4
+ "audio_eos_token": "<|audio_end|>",
5
+ "audio_token": "<|audio_pad|>",
6
+ "backend": "tokenizers",
7
+ "bos_token": null,
8
+ "clean_up_tokenization_spaces": false,
9
+ "eos_token": "<|im_end|>",
10
+ "errors": "replace",
11
+ "image_token": "<|image_pad|>",
12
+ "is_local": false,
13
+ "local_files_only": false,
14
+ "model_max_length": 262144,
15
+ "model_specific_special_tokens": {
16
+ "audio_bos_token": "<|audio_start|>",
17
+ "audio_eos_token": "<|audio_end|>",
18
+ "audio_token": "<|audio_pad|>",
19
+ "image_token": "<|image_pad|>",
20
+ "video_token": "<|video_pad|>",
21
+ "vision_bos_token": "<|vision_start|>",
22
+ "vision_eos_token": "<|vision_end|>"
23
+ },
24
+ "pad_token": "<|endoftext|>",
25
+ "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+",
26
+ "processor_class": "Qwen3VLProcessor",
27
+ "split_special_tokens": false,
28
+ "tokenizer_class": "TokenizersBackend",
29
+ "unk_token": null,
30
+ "video_token": "<|video_pad|>",
31
+ "vision_bos_token": "<|vision_start|>",
32
+ "vision_eos_token": "<|vision_end|>"
33
+ }