Jundot commited on
Commit
b3cfc1a
·
verified ·
1 Parent(s): 6ebb93d

Upload gemma-4-26B-A4B-it-oQ6 via oMLX

Browse files
.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
36
+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
README.md ADDED
@@ -0,0 +1,18 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: mlx
3
+ tags:
4
+ - mlx
5
+ - oq
6
+ - quantized
7
+ ---
8
+
9
+ # gemma-4-26B-A4B-it-oQ6
10
+
11
+ This model was quantized using [oQ](https://github.com/jundot/omlx) (oMLX v0.3.5) mixed-precision quantization.
12
+
13
+ ## Quantization details
14
+
15
+ - **Model type**: gemma4
16
+ - **Bits**: 6
17
+ - **Group size**: 64
18
+ - **Format**: MLX safetensors
chat_template.jinja ADDED
@@ -0,0 +1,266 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {%- macro format_parameters(properties, required) -%}
2
+ {%- set standard_keys = ['description', 'type', 'properties', 'required', 'nullable'] -%}
3
+ {%- set ns = namespace(found_first=false) -%}
4
+ {%- for key, value in properties | dictsort -%}
5
+ {%- set add_comma = false -%}
6
+ {%- if key not in standard_keys -%}
7
+ {%- if ns.found_first %},{% endif -%}
8
+ {%- set ns.found_first = true -%}
9
+ {{ key }}:{
10
+ {%- if value['description'] -%}
11
+ description:<|"|>{{ value['description'] }}<|"|>
12
+ {%- set add_comma = true -%}
13
+ {%- endif -%}
14
+ {%- if value['nullable'] %}
15
+ {%- if add_comma %},{%- else -%} {%- set add_comma = true -%} {% endif -%}
16
+ nullable:true
17
+ {%- endif -%}
18
+ {%- if value['type'] | upper == 'STRING' -%}
19
+ {%- if value['enum'] -%}
20
+ {%- if add_comma %},{%- else -%} {%- set add_comma = true -%} {% endif -%}
21
+ enum:{{ format_argument(value['enum']) }}
22
+ {%- endif -%}
23
+ {%- elif value['type'] | upper == 'OBJECT' -%}
24
+ ,properties:{
25
+ {%- if value['properties'] is defined and value['properties'] is mapping -%}
26
+ {{- format_parameters(value['properties'], value['required'] | default([])) -}}
27
+ {%- elif value is mapping -%}
28
+ {{- format_parameters(value, value['required'] | default([])) -}}
29
+ {%- endif -%}
30
+ }
31
+ {%- if value['required'] -%}
32
+ ,required:[
33
+ {%- for item in value['required'] | default([]) -%}
34
+ <|"|>{{- item -}}<|"|>
35
+ {%- if not loop.last %},{% endif -%}
36
+ {%- endfor -%}
37
+ ]
38
+ {%- endif -%}
39
+ {%- elif value['type'] | upper == 'ARRAY' -%}
40
+ {%- if value['items'] is mapping and value['items'] -%}
41
+ ,items:{
42
+ {%- set ns_items = namespace(found_first=false) -%}
43
+ {%- for item_key, item_value in value['items'] | dictsort -%}
44
+ {%- if item_value is not none -%}
45
+ {%- if ns_items.found_first %},{% endif -%}
46
+ {%- set ns_items.found_first = true -%}
47
+ {%- if item_key == 'properties' -%}
48
+ properties:{
49
+ {%- if item_value is mapping -%}
50
+ {{- format_parameters(item_value, value['items']['required'] | default([])) -}}
51
+ {%- endif -%}
52
+ }
53
+ {%- elif item_key == 'required' -%}
54
+ required:[
55
+ {%- for req_item in item_value -%}
56
+ <|"|>{{- req_item -}}<|"|>
57
+ {%- if not loop.last %},{% endif -%}
58
+ {%- endfor -%}
59
+ ]
60
+ {%- elif item_key == 'type' -%}
61
+ {%- if item_value is string -%}
62
+ type:{{ format_argument(item_value | upper) }}
63
+ {%- else -%}
64
+ type:{{ format_argument(item_value | map('upper') | list) }}
65
+ {%- endif -%}
66
+ {%- else -%}
67
+ {{ item_key }}:{{ format_argument(item_value) }}
68
+ {%- endif -%}
69
+ {%- endif -%}
70
+ {%- endfor -%}
71
+ }
72
+ {%- endif -%}
73
+ {%- endif -%}
74
+ {%- if add_comma %},{%- else -%} {%- set add_comma = true -%} {% endif -%}
75
+ type:<|"|>{{ value['type'] | upper }}<|"|>}
76
+ {%- endif -%}
77
+ {%- endfor -%}
78
+ {%- endmacro -%}
79
+ {%- macro format_function_declaration(tool_data) -%}
80
+ declaration:{{- tool_data['function']['name'] -}}{description:<|"|>{{- tool_data['function']['description'] -}}<|"|>
81
+ {%- set params = tool_data['function']['parameters'] -%}
82
+ {%- if params -%}
83
+ ,parameters:{
84
+ {%- if params['properties'] -%}
85
+ properties:{ {{- format_parameters(params['properties'], params['required']) -}} },
86
+ {%- endif -%}
87
+ {%- if params['required'] -%}
88
+ required:[
89
+ {%- for item in params['required'] -%}
90
+ <|"|>{{- item -}}<|"|>
91
+ {{- ',' if not loop.last -}}
92
+ {%- endfor -%}
93
+ ],
94
+ {%- endif -%}
95
+ {%- if params['type'] -%}
96
+ type:<|"|>{{- params['type'] | upper -}}<|"|>}
97
+ {%- endif -%}
98
+ {%- endif -%}
99
+ {%- if 'response' in tool_data['function'] -%}
100
+ {%- set response_declaration = tool_data['function']['response'] -%}
101
+ ,response:{
102
+ {%- if response_declaration['description'] -%}
103
+ description:<|"|>{{- response_declaration['description'] -}}<|"|>,
104
+ {%- endif -%}
105
+ {%- if response_declaration['type'] | upper == 'OBJECT' -%}
106
+ type:<|"|>{{- response_declaration['type'] | upper -}}<|"|>}
107
+ {%- endif -%}
108
+ {%- endif -%}
109
+ }
110
+ {%- endmacro -%}
111
+ {%- macro format_argument(argument, escape_keys=True) -%}
112
+ {%- if argument is string -%}
113
+ {{- '<|"|>' + argument + '<|"|>' -}}
114
+ {%- elif argument is boolean -%}
115
+ {{- 'true' if argument else 'false' -}}
116
+ {%- elif argument is mapping -%}
117
+ {{- '{' -}}
118
+ {%- set ns = namespace(found_first=false) -%}
119
+ {%- for key, value in argument | dictsort -%}
120
+ {%- if ns.found_first %},{% endif -%}
121
+ {%- set ns.found_first = true -%}
122
+ {%- if escape_keys -%}
123
+ {{- '<|"|>' + key + '<|"|>' -}}
124
+ {%- else -%}
125
+ {{- key -}}
126
+ {%- endif -%}
127
+ :{{- format_argument(value, escape_keys=escape_keys) -}}
128
+ {%- endfor -%}
129
+ {{- '}' -}}
130
+ {%- elif argument is sequence -%}
131
+ {{- '[' -}}
132
+ {%- for item in argument -%}
133
+ {{- format_argument(item, escape_keys=escape_keys) -}}
134
+ {%- if not loop.last %},{% endif -%}
135
+ {%- endfor -%}
136
+ {{- ']' -}}
137
+ {%- else -%}
138
+ {{- argument -}}
139
+ {%- endif -%}
140
+ {%- endmacro -%}
141
+ {%- macro strip_thinking(text) -%}
142
+ {%- set ns = namespace(result='') -%}
143
+ {%- for part in text.split('<channel|>') -%}
144
+ {%- if '<|channel>' in part -%}
145
+ {%- set ns.result = ns.result + part.split('<|channel>')[0] -%}
146
+ {%- else -%}
147
+ {%- set ns.result = ns.result + part -%}
148
+ {%- endif -%}
149
+ {%- endfor -%}
150
+ {{- ns.result | trim -}}
151
+ {%- endmacro -%}
152
+
153
+ {%- set ns = namespace(prev_message_type=None) -%}
154
+ {%- set loop_messages = messages -%}
155
+ {{ bos_token }}
156
+ {#- Handle System/Tool Definitions Block -#}
157
+ {%- if (enable_thinking is defined and enable_thinking) or tools or messages[0]['role'] in ['system', 'developer'] -%}
158
+ {{- '<|turn>system\n' -}}
159
+
160
+ {#- Inject Thinking token at the very top of the FIRST system turn -#}
161
+ {%- if enable_thinking is defined and enable_thinking -%}
162
+ {{- '<|think|>' -}}
163
+ {%- set ns.prev_message_type = 'think' -%}
164
+ {%- endif -%}
165
+
166
+ {%- if messages[0]['role'] in ['system', 'developer'] -%}
167
+ {{- messages[0]['content'] | trim -}}
168
+ {%- set loop_messages = messages[1:] -%}
169
+ {%- endif -%}
170
+
171
+ {%- if tools -%}
172
+ {%- for tool in tools %}
173
+ {{- '<|tool>' -}}
174
+ {{- format_function_declaration(tool) | trim -}}
175
+ {{- '<tool|>' -}}
176
+ {%- endfor %}
177
+ {%- set ns.prev_message_type = 'tool' -%}
178
+ {%- endif -%}
179
+
180
+ {{- '<turn|>\n' -}}
181
+ {%- endif %}
182
+
183
+ {#- Loop through messages -#}
184
+ {%- for message in loop_messages -%}
185
+ {%- set ns.prev_message_type = None -%}
186
+ {%- set role = 'model' if message['role'] == 'assistant' else message['role'] -%}
187
+ {{- '<|turn>' + role + '\n' }}
188
+
189
+ {%- if message['tool_calls'] -%}
190
+ {%- for tool_call in message['tool_calls'] -%}
191
+ {%- set function = tool_call['function'] -%}
192
+ {{- '<|tool_call>call:' + function['name'] + '{' -}}
193
+ {%- if function['arguments'] is mapping -%}
194
+ {%- set ns_args = namespace(found_first=false) -%}
195
+ {%- for key, value in function['arguments'] | dictsort -%}
196
+ {%- if ns_args.found_first %},{% endif -%}
197
+ {%- set ns_args.found_first = true -%}
198
+ {{- key -}}:{{- format_argument(value, escape_keys=False) -}}
199
+ {%- endfor -%}
200
+ {%- elif function['arguments'] is string -%}
201
+ {{- function['arguments'] -}}
202
+ {%- endif -%}
203
+ {{- '}<tool_call|>' -}}
204
+ {%- endfor -%}
205
+ {%- set ns.prev_message_type = 'tool_call' -%}
206
+ {%- endif -%}
207
+
208
+ {%- if message['tool_responses'] -%}
209
+ {#- Tool Response handling -#}
210
+ {%- for tool_response in message['tool_responses'] -%}
211
+ {{- '<|tool_response>' -}}
212
+ {%- if tool_response['response'] is mapping -%}
213
+ {{- 'response:' + tool_response['name'] | default('unknown') + '{' -}}
214
+ {%- for key, value in tool_response['response'] | dictsort -%}
215
+ {{- key -}}:{{- format_argument(value, escape_keys=False) -}}
216
+ {%- if not loop.last %},{% endif -%}
217
+ {%- endfor -%}
218
+ {{- '}' -}}
219
+ {%- else -%}
220
+ {{- 'response:' + tool_response['name'] | default('unknown') + '{value:' + format_argument(tool_response['response'], escape_keys=False) + '}' -}}
221
+ {%- endif -%}
222
+ {{- '<tool_response|>' -}}
223
+ {%- endfor -%}
224
+ {%- set ns.prev_message_type = 'tool_response' -%}
225
+ {%- endif -%}
226
+
227
+ {%- if message['content'] is string -%}
228
+ {%- if role == 'model' -%}
229
+ {{- strip_thinking(message['content']) -}}
230
+ {%- else -%}
231
+ {{- message['content'] | trim -}}
232
+ {%- endif -%}
233
+ {%- elif message['content'] is sequence -%}
234
+ {%- for item in message['content'] -%}
235
+ {%- if item['type'] == 'text' -%}
236
+ {%- if role == 'model' -%}
237
+ {{- strip_thinking(item['text']) -}}
238
+ {%- else -%}
239
+ {{- item['text'] | trim -}}
240
+ {%- endif -%}
241
+ {%- elif item['type'] == 'image' -%}
242
+ {{- '\n\n<|image|>\n\n' -}}
243
+ {%- set ns.prev_message_type = 'image' -%}
244
+ {%- elif item['type'] == 'audio' -%}
245
+ {{- '<|audio|>' -}}
246
+ {%- set ns.prev_message_type = 'audio' -%}
247
+ {%- elif item['type'] == 'video' -%}
248
+ {{- '\n\n<|video|>\n\n' -}}
249
+ {%- set ns.prev_message_type = 'video' -%}
250
+ {%- endif -%}
251
+ {%- endfor -%}
252
+ {%- endif -%}
253
+
254
+ {%- if not (message['tool_responses'] and not message['content']) -%}
255
+ {{- '<turn|>\n' -}}
256
+ {%- endif -%}
257
+ {%- endfor -%}
258
+
259
+ {%- if add_generation_prompt -%}
260
+ {%- if ns.prev_message_type != 'tool_response' -%}
261
+ {{- '<|turn>model\n' -}}
262
+ {%- endif -%}
263
+ {%- if not enable_thinking | default(false) -%}
264
+ {{- '<|channel>thought\n<channel|>' -}}
265
+ {%- endif -%}
266
+ {%- endif -%}
config.json ADDED
@@ -0,0 +1,1246 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Gemma4ForConditionalGeneration"
4
+ ],
5
+ "audio_config": null,
6
+ "audio_token_id": 258881,
7
+ "boa_token_id": 256000,
8
+ "boi_token_id": 255999,
9
+ "dtype": "bfloat16",
10
+ "eoa_token_id": 258883,
11
+ "eoa_token_index": 258883,
12
+ "eoi_token_id": 258882,
13
+ "eos_token_id": [
14
+ 1,
15
+ 106
16
+ ],
17
+ "image_token_id": 258880,
18
+ "initializer_range": 0.02,
19
+ "model_type": "gemma4",
20
+ "text_config": {
21
+ "attention_bias": false,
22
+ "attention_dropout": 0.0,
23
+ "attention_k_eq_v": true,
24
+ "bos_token_id": 2,
25
+ "dtype": "bfloat16",
26
+ "enable_moe_block": true,
27
+ "eos_token_id": 1,
28
+ "final_logit_softcapping": 30.0,
29
+ "global_head_dim": 512,
30
+ "head_dim": 256,
31
+ "hidden_activation": "gelu_pytorch_tanh",
32
+ "hidden_size": 2816,
33
+ "hidden_size_per_layer_input": 0,
34
+ "initializer_range": 0.02,
35
+ "intermediate_size": 2112,
36
+ "layer_types": [
37
+ "sliding_attention",
38
+ "sliding_attention",
39
+ "sliding_attention",
40
+ "sliding_attention",
41
+ "sliding_attention",
42
+ "full_attention",
43
+ "sliding_attention",
44
+ "sliding_attention",
45
+ "sliding_attention",
46
+ "sliding_attention",
47
+ "sliding_attention",
48
+ "full_attention",
49
+ "sliding_attention",
50
+ "sliding_attention",
51
+ "sliding_attention",
52
+ "sliding_attention",
53
+ "sliding_attention",
54
+ "full_attention",
55
+ "sliding_attention",
56
+ "sliding_attention",
57
+ "sliding_attention",
58
+ "sliding_attention",
59
+ "sliding_attention",
60
+ "full_attention",
61
+ "sliding_attention",
62
+ "sliding_attention",
63
+ "sliding_attention",
64
+ "sliding_attention",
65
+ "sliding_attention",
66
+ "full_attention"
67
+ ],
68
+ "max_position_embeddings": 262144,
69
+ "model_type": "gemma4_text",
70
+ "moe_intermediate_size": 704,
71
+ "num_attention_heads": 16,
72
+ "num_experts": 128,
73
+ "num_global_key_value_heads": 2,
74
+ "num_hidden_layers": 30,
75
+ "num_key_value_heads": 8,
76
+ "num_kv_shared_layers": 0,
77
+ "pad_token_id": 0,
78
+ "rms_norm_eps": 1e-06,
79
+ "rope_parameters": {
80
+ "full_attention": {
81
+ "partial_rotary_factor": 0.25,
82
+ "rope_theta": 1000000.0,
83
+ "rope_type": "proportional"
84
+ },
85
+ "sliding_attention": {
86
+ "rope_theta": 10000.0,
87
+ "rope_type": "default"
88
+ }
89
+ },
90
+ "sliding_window": 1024,
91
+ "tie_word_embeddings": true,
92
+ "top_k_experts": 8,
93
+ "use_bidirectional_attention": "vision",
94
+ "use_cache": true,
95
+ "use_double_wide_mlp": false,
96
+ "vocab_size": 262144,
97
+ "vocab_size_per_layer_input": 262144
98
+ },
99
+ "tie_word_embeddings": true,
100
+ "transformers_version": "5.5.0.dev0",
101
+ "video_token_id": 258884,
102
+ "vision_config": {
103
+ "_name_or_path": "",
104
+ "architectures": null,
105
+ "attention_bias": false,
106
+ "attention_dropout": 0.0,
107
+ "chunk_size_feed_forward": 0,
108
+ "default_output_length": 280,
109
+ "dtype": "bfloat16",
110
+ "global_head_dim": 72,
111
+ "head_dim": 72,
112
+ "hidden_activation": "gelu_pytorch_tanh",
113
+ "hidden_size": 1152,
114
+ "id2label": {
115
+ "0": "LABEL_0",
116
+ "1": "LABEL_1"
117
+ },
118
+ "initializer_range": 0.02,
119
+ "intermediate_size": 4304,
120
+ "is_encoder_decoder": false,
121
+ "label2id": {
122
+ "LABEL_0": 0,
123
+ "LABEL_1": 1
124
+ },
125
+ "max_position_embeddings": 131072,
126
+ "model_type": "gemma4_vision",
127
+ "num_attention_heads": 16,
128
+ "num_hidden_layers": 27,
129
+ "num_key_value_heads": 16,
130
+ "output_attentions": false,
131
+ "output_hidden_states": false,
132
+ "patch_size": 16,
133
+ "pooling_kernel_size": 3,
134
+ "position_embedding_size": 10240,
135
+ "problem_type": null,
136
+ "return_dict": true,
137
+ "rms_norm_eps": 1e-06,
138
+ "rope_parameters": {
139
+ "rope_theta": 100.0,
140
+ "rope_type": "default"
141
+ },
142
+ "standardize": true,
143
+ "use_clipped_linears": false
144
+ },
145
+ "vision_soft_tokens_per_image": 280,
146
+ "quantization": {
147
+ "group_size": 64,
148
+ "bits": 6,
149
+ "mode": "affine",
150
+ "language_model.model.layers.26.self_attn.k_proj": {
151
+ "bits": 8,
152
+ "group_size": 64,
153
+ "mode": "affine"
154
+ },
155
+ "language_model.model.layers.1.mlp.up_proj": {
156
+ "bits": 8,
157
+ "group_size": 64,
158
+ "mode": "affine"
159
+ },
160
+ "language_model.model.layers.11.self_attn.o_proj": {
161
+ "bits": 8,
162
+ "group_size": 64,
163
+ "mode": "affine"
164
+ },
165
+ "language_model.model.layers.1.router.proj": {
166
+ "bits": 8,
167
+ "group_size": 64,
168
+ "mode": "affine"
169
+ },
170
+ "language_model.model.layers.28.self_attn.o_proj": {
171
+ "bits": 8,
172
+ "group_size": 64,
173
+ "mode": "affine"
174
+ },
175
+ "language_model.model.layers.28.self_attn.q_proj": {
176
+ "bits": 8,
177
+ "group_size": 64,
178
+ "mode": "affine"
179
+ },
180
+ "language_model.model.layers.16.mlp.down_proj": {
181
+ "bits": 8,
182
+ "group_size": 64,
183
+ "mode": "affine"
184
+ },
185
+ "language_model.model.layers.1.self_attn.q_proj": {
186
+ "bits": 8,
187
+ "group_size": 64,
188
+ "mode": "affine"
189
+ },
190
+ "language_model.model.layers.0.self_attn.k_proj": {
191
+ "bits": 8,
192
+ "group_size": 64,
193
+ "mode": "affine"
194
+ },
195
+ "language_model.model.layers.22.self_attn.v_proj": {
196
+ "bits": 8,
197
+ "group_size": 64,
198
+ "mode": "affine"
199
+ },
200
+ "language_model.model.layers.1.self_attn.k_proj": {
201
+ "bits": 8,
202
+ "group_size": 64,
203
+ "mode": "affine"
204
+ },
205
+ "language_model.model.layers.22.self_attn.q_proj": {
206
+ "bits": 8,
207
+ "group_size": 64,
208
+ "mode": "affine"
209
+ },
210
+ "language_model.model.layers.3.self_attn.q_proj": {
211
+ "bits": 8,
212
+ "group_size": 64,
213
+ "mode": "affine"
214
+ },
215
+ "language_model.model.layers.3.router.proj": {
216
+ "bits": 8,
217
+ "group_size": 64,
218
+ "mode": "affine"
219
+ },
220
+ "language_model.model.layers.3.mlp.up_proj": {
221
+ "bits": 8,
222
+ "group_size": 64,
223
+ "mode": "affine"
224
+ },
225
+ "language_model.model.layers.3.mlp.down_proj": {
226
+ "bits": 8,
227
+ "group_size": 64,
228
+ "mode": "affine"
229
+ },
230
+ "language_model.model.layers.23.self_attn.q_proj": {
231
+ "bits": 8,
232
+ "group_size": 64,
233
+ "mode": "affine"
234
+ },
235
+ "language_model.model.layers.29.self_attn.q_proj": {
236
+ "bits": 8,
237
+ "group_size": 64,
238
+ "mode": "affine"
239
+ },
240
+ "language_model.model.layers.29.self_attn.o_proj": {
241
+ "bits": 8,
242
+ "group_size": 64,
243
+ "mode": "affine"
244
+ },
245
+ "language_model.model.layers.28.self_attn.k_proj": {
246
+ "bits": 8,
247
+ "group_size": 64,
248
+ "mode": "affine"
249
+ },
250
+ "language_model.model.layers.2.self_attn.v_proj": {
251
+ "bits": 8,
252
+ "group_size": 64,
253
+ "mode": "affine"
254
+ },
255
+ "language_model.model.layers.28.self_attn.v_proj": {
256
+ "bits": 8,
257
+ "group_size": 64,
258
+ "mode": "affine"
259
+ },
260
+ "language_model.model.layers.28.router.proj": {
261
+ "bits": 8,
262
+ "group_size": 64,
263
+ "mode": "affine"
264
+ },
265
+ "language_model.model.layers.28.mlp.up_proj": {
266
+ "bits": 8,
267
+ "group_size": 64,
268
+ "mode": "affine"
269
+ },
270
+ "language_model.model.layers.28.mlp.gate_proj": {
271
+ "bits": 8,
272
+ "group_size": 64,
273
+ "mode": "affine"
274
+ },
275
+ "language_model.model.layers.27.self_attn.o_proj": {
276
+ "bits": 8,
277
+ "group_size": 64,
278
+ "mode": "affine"
279
+ },
280
+ "language_model.model.layers.27.router.proj": {
281
+ "bits": 8,
282
+ "group_size": 64,
283
+ "mode": "affine"
284
+ },
285
+ "language_model.model.layers.27.mlp.gate_proj": {
286
+ "bits": 8,
287
+ "group_size": 64,
288
+ "mode": "affine"
289
+ },
290
+ "language_model.model.layers.26.self_attn.o_proj": {
291
+ "bits": 8,
292
+ "group_size": 64,
293
+ "mode": "affine"
294
+ },
295
+ "language_model.model.layers.26.mlp.down_proj": {
296
+ "bits": 8,
297
+ "group_size": 64,
298
+ "mode": "affine"
299
+ },
300
+ "language_model.model.layers.27.self_attn.v_proj": {
301
+ "bits": 8,
302
+ "group_size": 64,
303
+ "mode": "affine"
304
+ },
305
+ "language_model.model.layers.23.self_attn.o_proj": {
306
+ "bits": 8,
307
+ "group_size": 64,
308
+ "mode": "affine"
309
+ },
310
+ "language_model.model.layers.22.self_attn.k_proj": {
311
+ "bits": 8,
312
+ "group_size": 64,
313
+ "mode": "affine"
314
+ },
315
+ "language_model.model.layers.22.router.proj": {
316
+ "bits": 8,
317
+ "group_size": 64,
318
+ "mode": "affine"
319
+ },
320
+ "language_model.model.layers.3.self_attn.v_proj": {
321
+ "bits": 8,
322
+ "group_size": 64,
323
+ "mode": "affine"
324
+ },
325
+ "language_model.model.layers.22.mlp.up_proj": {
326
+ "bits": 8,
327
+ "group_size": 64,
328
+ "mode": "affine"
329
+ },
330
+ "language_model.model.layers.22.mlp.gate_proj": {
331
+ "bits": 8,
332
+ "group_size": 64,
333
+ "mode": "affine"
334
+ },
335
+ "language_model.model.layers.22.mlp.down_proj": {
336
+ "bits": 8,
337
+ "group_size": 64,
338
+ "mode": "affine"
339
+ },
340
+ "language_model.model.layers.11.self_attn.k_proj": {
341
+ "bits": 8,
342
+ "group_size": 64,
343
+ "mode": "affine"
344
+ },
345
+ "language_model.model.layers.26.router.proj": {
346
+ "bits": 8,
347
+ "group_size": 64,
348
+ "mode": "affine"
349
+ },
350
+ "language_model.model.layers.27.mlp.up_proj": {
351
+ "bits": 8,
352
+ "group_size": 64,
353
+ "mode": "affine"
354
+ },
355
+ "language_model.model.layers.3.self_attn.o_proj": {
356
+ "bits": 8,
357
+ "group_size": 64,
358
+ "mode": "affine"
359
+ },
360
+ "language_model.model.layers.2.self_attn.q_proj": {
361
+ "bits": 8,
362
+ "group_size": 64,
363
+ "mode": "affine"
364
+ },
365
+ "language_model.model.layers.2.router.proj": {
366
+ "bits": 8,
367
+ "group_size": 64,
368
+ "mode": "affine"
369
+ },
370
+ "language_model.model.layers.28.mlp.down_proj": {
371
+ "bits": 8,
372
+ "group_size": 64,
373
+ "mode": "affine"
374
+ },
375
+ "language_model.model.layers.2.mlp.down_proj": {
376
+ "bits": 8,
377
+ "group_size": 64,
378
+ "mode": "affine"
379
+ },
380
+ "language_model.model.layers.0.self_attn.q_proj": {
381
+ "bits": 8,
382
+ "group_size": 64,
383
+ "mode": "affine"
384
+ },
385
+ "language_model.model.layers.18.self_attn.v_proj": {
386
+ "bits": 8,
387
+ "group_size": 64,
388
+ "mode": "affine"
389
+ },
390
+ "language_model.model.layers.18.self_attn.q_proj": {
391
+ "bits": 8,
392
+ "group_size": 64,
393
+ "mode": "affine"
394
+ },
395
+ "language_model.model.layers.18.self_attn.k_proj": {
396
+ "bits": 8,
397
+ "group_size": 64,
398
+ "mode": "affine"
399
+ },
400
+ "language_model.model.layers.27.mlp.down_proj": {
401
+ "bits": 8,
402
+ "group_size": 64,
403
+ "mode": "affine"
404
+ },
405
+ "language_model.model.layers.18.router.proj": {
406
+ "bits": 8,
407
+ "group_size": 64,
408
+ "mode": "affine"
409
+ },
410
+ "language_model.model.layers.18.mlp.gate_proj": {
411
+ "bits": 8,
412
+ "group_size": 64,
413
+ "mode": "affine"
414
+ },
415
+ "language_model.model.layers.18.mlp.down_proj": {
416
+ "bits": 8,
417
+ "group_size": 64,
418
+ "mode": "affine"
419
+ },
420
+ "language_model.model.layers.17.self_attn.o_proj": {
421
+ "bits": 8,
422
+ "group_size": 64,
423
+ "mode": "affine"
424
+ },
425
+ "language_model.model.layers.16.mlp.gate_proj": {
426
+ "bits": 8,
427
+ "group_size": 64,
428
+ "mode": "affine"
429
+ },
430
+ "language_model.model.layers.16.self_attn.v_proj": {
431
+ "bits": 8,
432
+ "group_size": 64,
433
+ "mode": "affine"
434
+ },
435
+ "language_model.model.layers.3.mlp.gate_proj": {
436
+ "bits": 8,
437
+ "group_size": 64,
438
+ "mode": "affine"
439
+ },
440
+ "language_model.model.layers.26.mlp.up_proj": {
441
+ "bits": 8,
442
+ "group_size": 64,
443
+ "mode": "affine"
444
+ },
445
+ "language_model.model.layers.0.mlp.down_proj": {
446
+ "bits": 8,
447
+ "group_size": 64,
448
+ "mode": "affine"
449
+ },
450
+ "language_model.model.layers.17.self_attn.q_proj": {
451
+ "bits": 8,
452
+ "group_size": 64,
453
+ "mode": "affine"
454
+ },
455
+ "language_model.model.layers.1.mlp.down_proj": {
456
+ "bits": 8,
457
+ "group_size": 64,
458
+ "mode": "affine"
459
+ },
460
+ "language_model.model.layers.2.mlp.up_proj": {
461
+ "bits": 8,
462
+ "group_size": 64,
463
+ "mode": "affine"
464
+ },
465
+ "language_model.model.layers.0.mlp.gate_proj": {
466
+ "bits": 8,
467
+ "group_size": 64,
468
+ "mode": "affine"
469
+ },
470
+ "language_model.model.layers.16.self_attn.q_proj": {
471
+ "bits": 8,
472
+ "group_size": 64,
473
+ "mode": "affine"
474
+ },
475
+ "language_model.model.layers.16.self_attn.o_proj": {
476
+ "bits": 8,
477
+ "group_size": 64,
478
+ "mode": "affine"
479
+ },
480
+ "language_model.model.layers.16.self_attn.k_proj": {
481
+ "bits": 8,
482
+ "group_size": 64,
483
+ "mode": "affine"
484
+ },
485
+ "language_model.model.layers.1.mlp.gate_proj": {
486
+ "bits": 8,
487
+ "group_size": 64,
488
+ "mode": "affine"
489
+ },
490
+ "language_model.model.layers.29.self_attn.k_proj": {
491
+ "bits": 8,
492
+ "group_size": 64,
493
+ "mode": "affine"
494
+ },
495
+ "language_model.model.layers.2.self_attn.o_proj": {
496
+ "bits": 8,
497
+ "group_size": 64,
498
+ "mode": "affine"
499
+ },
500
+ "language_model.model.layers.2.mlp.gate_proj": {
501
+ "bits": 8,
502
+ "group_size": 64,
503
+ "mode": "affine"
504
+ },
505
+ "language_model.model.layers.22.self_attn.o_proj": {
506
+ "bits": 8,
507
+ "group_size": 64,
508
+ "mode": "affine"
509
+ },
510
+ "language_model.model.layers.1.self_attn.o_proj": {
511
+ "bits": 8,
512
+ "group_size": 64,
513
+ "mode": "affine"
514
+ },
515
+ "language_model.model.layers.11.self_attn.q_proj": {
516
+ "bits": 8,
517
+ "group_size": 64,
518
+ "mode": "affine"
519
+ },
520
+ "language_model.model.layers.26.self_attn.v_proj": {
521
+ "bits": 8,
522
+ "group_size": 64,
523
+ "mode": "affine"
524
+ },
525
+ "language_model.model.layers.0.mlp.up_proj": {
526
+ "bits": 8,
527
+ "group_size": 64,
528
+ "mode": "affine"
529
+ },
530
+ "language_model.model.layers.18.self_attn.o_proj": {
531
+ "bits": 8,
532
+ "group_size": 64,
533
+ "mode": "affine"
534
+ },
535
+ "language_model.model.layers.2.self_attn.k_proj": {
536
+ "bits": 8,
537
+ "group_size": 64,
538
+ "mode": "affine"
539
+ },
540
+ "language_model.model.layers.0.self_attn.v_proj": {
541
+ "bits": 8,
542
+ "group_size": 64,
543
+ "mode": "affine"
544
+ },
545
+ "language_model.model.layers.1.self_attn.v_proj": {
546
+ "bits": 8,
547
+ "group_size": 64,
548
+ "mode": "affine"
549
+ },
550
+ "language_model.model.layers.27.self_attn.k_proj": {
551
+ "bits": 8,
552
+ "group_size": 64,
553
+ "mode": "affine"
554
+ },
555
+ "language_model.model.layers.26.self_attn.q_proj": {
556
+ "bits": 8,
557
+ "group_size": 64,
558
+ "mode": "affine"
559
+ },
560
+ "language_model.model.layers.26.mlp.gate_proj": {
561
+ "bits": 8,
562
+ "group_size": 64,
563
+ "mode": "affine"
564
+ },
565
+ "language_model.model.embed_tokens": {
566
+ "bits": 8,
567
+ "group_size": 64,
568
+ "mode": "affine"
569
+ },
570
+ "language_model.model.layers.23.self_attn.k_proj": {
571
+ "bits": 8,
572
+ "group_size": 64,
573
+ "mode": "affine"
574
+ },
575
+ "language_model.model.layers.17.self_attn.k_proj": {
576
+ "bits": 8,
577
+ "group_size": 64,
578
+ "mode": "affine"
579
+ },
580
+ "language_model.model.layers.16.router.proj": {
581
+ "bits": 8,
582
+ "group_size": 64,
583
+ "mode": "affine"
584
+ },
585
+ "language_model.model.layers.0.self_attn.o_proj": {
586
+ "bits": 8,
587
+ "group_size": 64,
588
+ "mode": "affine"
589
+ },
590
+ "language_model.model.layers.27.self_attn.q_proj": {
591
+ "bits": 8,
592
+ "group_size": 64,
593
+ "mode": "affine"
594
+ },
595
+ "language_model.model.layers.3.self_attn.k_proj": {
596
+ "bits": 8,
597
+ "group_size": 64,
598
+ "mode": "affine"
599
+ },
600
+ "language_model.model.layers.18.mlp.up_proj": {
601
+ "bits": 8,
602
+ "group_size": 64,
603
+ "mode": "affine"
604
+ },
605
+ "language_model.model.layers.16.mlp.up_proj": {
606
+ "bits": 8,
607
+ "group_size": 64,
608
+ "mode": "affine"
609
+ },
610
+ "language_model.model.layers.0.router.proj": {
611
+ "bits": 8,
612
+ "group_size": 64,
613
+ "mode": "affine"
614
+ },
615
+ "language_model.model.layers.17.mlp.down_proj": {
616
+ "bits": 8,
617
+ "group_size": 64,
618
+ "mode": "affine"
619
+ },
620
+ "language_model.model.layers.29.mlp.down_proj": {
621
+ "bits": 8,
622
+ "group_size": 64,
623
+ "mode": "affine"
624
+ },
625
+ "language_model.model.layers.23.mlp.up_proj": {
626
+ "bits": 8,
627
+ "group_size": 64,
628
+ "mode": "affine"
629
+ },
630
+ "language_model.model.layers.23.mlp.gate_proj": {
631
+ "bits": 8,
632
+ "group_size": 64,
633
+ "mode": "affine"
634
+ },
635
+ "language_model.model.layers.23.mlp.down_proj": {
636
+ "bits": 8,
637
+ "group_size": 64,
638
+ "mode": "affine"
639
+ },
640
+ "language_model.model.layers.17.router.proj": {
641
+ "bits": 8,
642
+ "group_size": 64,
643
+ "mode": "affine"
644
+ },
645
+ "language_model.model.layers.11.mlp.gate_proj": {
646
+ "bits": 8,
647
+ "group_size": 64,
648
+ "mode": "affine"
649
+ },
650
+ "language_model.model.layers.29.router.proj": {
651
+ "bits": 8,
652
+ "group_size": 64,
653
+ "mode": "affine"
654
+ },
655
+ "language_model.model.layers.17.mlp.up_proj": {
656
+ "bits": 8,
657
+ "group_size": 64,
658
+ "mode": "affine"
659
+ },
660
+ "language_model.model.layers.17.mlp.gate_proj": {
661
+ "bits": 8,
662
+ "group_size": 64,
663
+ "mode": "affine"
664
+ },
665
+ "language_model.model.layers.23.router.proj": {
666
+ "bits": 8,
667
+ "group_size": 64,
668
+ "mode": "affine"
669
+ },
670
+ "language_model.model.layers.29.mlp.up_proj": {
671
+ "bits": 8,
672
+ "group_size": 64,
673
+ "mode": "affine"
674
+ },
675
+ "language_model.model.layers.29.mlp.gate_proj": {
676
+ "bits": 8,
677
+ "group_size": 64,
678
+ "mode": "affine"
679
+ },
680
+ "language_model.model.layers.11.mlp.up_proj": {
681
+ "bits": 8,
682
+ "group_size": 64,
683
+ "mode": "affine"
684
+ },
685
+ "language_model.model.layers.11.router.proj": {
686
+ "bits": 8,
687
+ "group_size": 64,
688
+ "mode": "affine"
689
+ },
690
+ "language_model.model.layers.11.mlp.down_proj": {
691
+ "bits": 8,
692
+ "group_size": 64,
693
+ "mode": "affine"
694
+ }
695
+ },
696
+ "quantization_config": {
697
+ "group_size": 64,
698
+ "bits": 6,
699
+ "mode": "affine",
700
+ "language_model.model.layers.26.self_attn.k_proj": {
701
+ "bits": 8,
702
+ "group_size": 64,
703
+ "mode": "affine"
704
+ },
705
+ "language_model.model.layers.1.mlp.up_proj": {
706
+ "bits": 8,
707
+ "group_size": 64,
708
+ "mode": "affine"
709
+ },
710
+ "language_model.model.layers.11.self_attn.o_proj": {
711
+ "bits": 8,
712
+ "group_size": 64,
713
+ "mode": "affine"
714
+ },
715
+ "language_model.model.layers.1.router.proj": {
716
+ "bits": 8,
717
+ "group_size": 64,
718
+ "mode": "affine"
719
+ },
720
+ "language_model.model.layers.28.self_attn.o_proj": {
721
+ "bits": 8,
722
+ "group_size": 64,
723
+ "mode": "affine"
724
+ },
725
+ "language_model.model.layers.28.self_attn.q_proj": {
726
+ "bits": 8,
727
+ "group_size": 64,
728
+ "mode": "affine"
729
+ },
730
+ "language_model.model.layers.16.mlp.down_proj": {
731
+ "bits": 8,
732
+ "group_size": 64,
733
+ "mode": "affine"
734
+ },
735
+ "language_model.model.layers.1.self_attn.q_proj": {
736
+ "bits": 8,
737
+ "group_size": 64,
738
+ "mode": "affine"
739
+ },
740
+ "language_model.model.layers.0.self_attn.k_proj": {
741
+ "bits": 8,
742
+ "group_size": 64,
743
+ "mode": "affine"
744
+ },
745
+ "language_model.model.layers.22.self_attn.v_proj": {
746
+ "bits": 8,
747
+ "group_size": 64,
748
+ "mode": "affine"
749
+ },
750
+ "language_model.model.layers.1.self_attn.k_proj": {
751
+ "bits": 8,
752
+ "group_size": 64,
753
+ "mode": "affine"
754
+ },
755
+ "language_model.model.layers.22.self_attn.q_proj": {
756
+ "bits": 8,
757
+ "group_size": 64,
758
+ "mode": "affine"
759
+ },
760
+ "language_model.model.layers.3.self_attn.q_proj": {
761
+ "bits": 8,
762
+ "group_size": 64,
763
+ "mode": "affine"
764
+ },
765
+ "language_model.model.layers.3.router.proj": {
766
+ "bits": 8,
767
+ "group_size": 64,
768
+ "mode": "affine"
769
+ },
770
+ "language_model.model.layers.3.mlp.up_proj": {
771
+ "bits": 8,
772
+ "group_size": 64,
773
+ "mode": "affine"
774
+ },
775
+ "language_model.model.layers.3.mlp.down_proj": {
776
+ "bits": 8,
777
+ "group_size": 64,
778
+ "mode": "affine"
779
+ },
780
+ "language_model.model.layers.23.self_attn.q_proj": {
781
+ "bits": 8,
782
+ "group_size": 64,
783
+ "mode": "affine"
784
+ },
785
+ "language_model.model.layers.29.self_attn.q_proj": {
786
+ "bits": 8,
787
+ "group_size": 64,
788
+ "mode": "affine"
789
+ },
790
+ "language_model.model.layers.29.self_attn.o_proj": {
791
+ "bits": 8,
792
+ "group_size": 64,
793
+ "mode": "affine"
794
+ },
795
+ "language_model.model.layers.28.self_attn.k_proj": {
796
+ "bits": 8,
797
+ "group_size": 64,
798
+ "mode": "affine"
799
+ },
800
+ "language_model.model.layers.2.self_attn.v_proj": {
801
+ "bits": 8,
802
+ "group_size": 64,
803
+ "mode": "affine"
804
+ },
805
+ "language_model.model.layers.28.self_attn.v_proj": {
806
+ "bits": 8,
807
+ "group_size": 64,
808
+ "mode": "affine"
809
+ },
810
+ "language_model.model.layers.28.router.proj": {
811
+ "bits": 8,
812
+ "group_size": 64,
813
+ "mode": "affine"
814
+ },
815
+ "language_model.model.layers.28.mlp.up_proj": {
816
+ "bits": 8,
817
+ "group_size": 64,
818
+ "mode": "affine"
819
+ },
820
+ "language_model.model.layers.28.mlp.gate_proj": {
821
+ "bits": 8,
822
+ "group_size": 64,
823
+ "mode": "affine"
824
+ },
825
+ "language_model.model.layers.27.self_attn.o_proj": {
826
+ "bits": 8,
827
+ "group_size": 64,
828
+ "mode": "affine"
829
+ },
830
+ "language_model.model.layers.27.router.proj": {
831
+ "bits": 8,
832
+ "group_size": 64,
833
+ "mode": "affine"
834
+ },
835
+ "language_model.model.layers.27.mlp.gate_proj": {
836
+ "bits": 8,
837
+ "group_size": 64,
838
+ "mode": "affine"
839
+ },
840
+ "language_model.model.layers.26.self_attn.o_proj": {
841
+ "bits": 8,
842
+ "group_size": 64,
843
+ "mode": "affine"
844
+ },
845
+ "language_model.model.layers.26.mlp.down_proj": {
846
+ "bits": 8,
847
+ "group_size": 64,
848
+ "mode": "affine"
849
+ },
850
+ "language_model.model.layers.27.self_attn.v_proj": {
851
+ "bits": 8,
852
+ "group_size": 64,
853
+ "mode": "affine"
854
+ },
855
+ "language_model.model.layers.23.self_attn.o_proj": {
856
+ "bits": 8,
857
+ "group_size": 64,
858
+ "mode": "affine"
859
+ },
860
+ "language_model.model.layers.22.self_attn.k_proj": {
861
+ "bits": 8,
862
+ "group_size": 64,
863
+ "mode": "affine"
864
+ },
865
+ "language_model.model.layers.22.router.proj": {
866
+ "bits": 8,
867
+ "group_size": 64,
868
+ "mode": "affine"
869
+ },
870
+ "language_model.model.layers.3.self_attn.v_proj": {
871
+ "bits": 8,
872
+ "group_size": 64,
873
+ "mode": "affine"
874
+ },
875
+ "language_model.model.layers.22.mlp.up_proj": {
876
+ "bits": 8,
877
+ "group_size": 64,
878
+ "mode": "affine"
879
+ },
880
+ "language_model.model.layers.22.mlp.gate_proj": {
881
+ "bits": 8,
882
+ "group_size": 64,
883
+ "mode": "affine"
884
+ },
885
+ "language_model.model.layers.22.mlp.down_proj": {
886
+ "bits": 8,
887
+ "group_size": 64,
888
+ "mode": "affine"
889
+ },
890
+ "language_model.model.layers.11.self_attn.k_proj": {
891
+ "bits": 8,
892
+ "group_size": 64,
893
+ "mode": "affine"
894
+ },
895
+ "language_model.model.layers.26.router.proj": {
896
+ "bits": 8,
897
+ "group_size": 64,
898
+ "mode": "affine"
899
+ },
900
+ "language_model.model.layers.27.mlp.up_proj": {
901
+ "bits": 8,
902
+ "group_size": 64,
903
+ "mode": "affine"
904
+ },
905
+ "language_model.model.layers.3.self_attn.o_proj": {
906
+ "bits": 8,
907
+ "group_size": 64,
908
+ "mode": "affine"
909
+ },
910
+ "language_model.model.layers.2.self_attn.q_proj": {
911
+ "bits": 8,
912
+ "group_size": 64,
913
+ "mode": "affine"
914
+ },
915
+ "language_model.model.layers.2.router.proj": {
916
+ "bits": 8,
917
+ "group_size": 64,
918
+ "mode": "affine"
919
+ },
920
+ "language_model.model.layers.28.mlp.down_proj": {
921
+ "bits": 8,
922
+ "group_size": 64,
923
+ "mode": "affine"
924
+ },
925
+ "language_model.model.layers.2.mlp.down_proj": {
926
+ "bits": 8,
927
+ "group_size": 64,
928
+ "mode": "affine"
929
+ },
930
+ "language_model.model.layers.0.self_attn.q_proj": {
931
+ "bits": 8,
932
+ "group_size": 64,
933
+ "mode": "affine"
934
+ },
935
+ "language_model.model.layers.18.self_attn.v_proj": {
936
+ "bits": 8,
937
+ "group_size": 64,
938
+ "mode": "affine"
939
+ },
940
+ "language_model.model.layers.18.self_attn.q_proj": {
941
+ "bits": 8,
942
+ "group_size": 64,
943
+ "mode": "affine"
944
+ },
945
+ "language_model.model.layers.18.self_attn.k_proj": {
946
+ "bits": 8,
947
+ "group_size": 64,
948
+ "mode": "affine"
949
+ },
950
+ "language_model.model.layers.27.mlp.down_proj": {
951
+ "bits": 8,
952
+ "group_size": 64,
953
+ "mode": "affine"
954
+ },
955
+ "language_model.model.layers.18.router.proj": {
956
+ "bits": 8,
957
+ "group_size": 64,
958
+ "mode": "affine"
959
+ },
960
+ "language_model.model.layers.18.mlp.gate_proj": {
961
+ "bits": 8,
962
+ "group_size": 64,
963
+ "mode": "affine"
964
+ },
965
+ "language_model.model.layers.18.mlp.down_proj": {
966
+ "bits": 8,
967
+ "group_size": 64,
968
+ "mode": "affine"
969
+ },
970
+ "language_model.model.layers.17.self_attn.o_proj": {
971
+ "bits": 8,
972
+ "group_size": 64,
973
+ "mode": "affine"
974
+ },
975
+ "language_model.model.layers.16.mlp.gate_proj": {
976
+ "bits": 8,
977
+ "group_size": 64,
978
+ "mode": "affine"
979
+ },
980
+ "language_model.model.layers.16.self_attn.v_proj": {
981
+ "bits": 8,
982
+ "group_size": 64,
983
+ "mode": "affine"
984
+ },
985
+ "language_model.model.layers.3.mlp.gate_proj": {
986
+ "bits": 8,
987
+ "group_size": 64,
988
+ "mode": "affine"
989
+ },
990
+ "language_model.model.layers.26.mlp.up_proj": {
991
+ "bits": 8,
992
+ "group_size": 64,
993
+ "mode": "affine"
994
+ },
995
+ "language_model.model.layers.0.mlp.down_proj": {
996
+ "bits": 8,
997
+ "group_size": 64,
998
+ "mode": "affine"
999
+ },
1000
+ "language_model.model.layers.17.self_attn.q_proj": {
1001
+ "bits": 8,
1002
+ "group_size": 64,
1003
+ "mode": "affine"
1004
+ },
1005
+ "language_model.model.layers.1.mlp.down_proj": {
1006
+ "bits": 8,
1007
+ "group_size": 64,
1008
+ "mode": "affine"
1009
+ },
1010
+ "language_model.model.layers.2.mlp.up_proj": {
1011
+ "bits": 8,
1012
+ "group_size": 64,
1013
+ "mode": "affine"
1014
+ },
1015
+ "language_model.model.layers.0.mlp.gate_proj": {
1016
+ "bits": 8,
1017
+ "group_size": 64,
1018
+ "mode": "affine"
1019
+ },
1020
+ "language_model.model.layers.16.self_attn.q_proj": {
1021
+ "bits": 8,
1022
+ "group_size": 64,
1023
+ "mode": "affine"
1024
+ },
1025
+ "language_model.model.layers.16.self_attn.o_proj": {
1026
+ "bits": 8,
1027
+ "group_size": 64,
1028
+ "mode": "affine"
1029
+ },
1030
+ "language_model.model.layers.16.self_attn.k_proj": {
1031
+ "bits": 8,
1032
+ "group_size": 64,
1033
+ "mode": "affine"
1034
+ },
1035
+ "language_model.model.layers.1.mlp.gate_proj": {
1036
+ "bits": 8,
1037
+ "group_size": 64,
1038
+ "mode": "affine"
1039
+ },
1040
+ "language_model.model.layers.29.self_attn.k_proj": {
1041
+ "bits": 8,
1042
+ "group_size": 64,
1043
+ "mode": "affine"
1044
+ },
1045
+ "language_model.model.layers.2.self_attn.o_proj": {
1046
+ "bits": 8,
1047
+ "group_size": 64,
1048
+ "mode": "affine"
1049
+ },
1050
+ "language_model.model.layers.2.mlp.gate_proj": {
1051
+ "bits": 8,
1052
+ "group_size": 64,
1053
+ "mode": "affine"
1054
+ },
1055
+ "language_model.model.layers.22.self_attn.o_proj": {
1056
+ "bits": 8,
1057
+ "group_size": 64,
1058
+ "mode": "affine"
1059
+ },
1060
+ "language_model.model.layers.1.self_attn.o_proj": {
1061
+ "bits": 8,
1062
+ "group_size": 64,
1063
+ "mode": "affine"
1064
+ },
1065
+ "language_model.model.layers.11.self_attn.q_proj": {
1066
+ "bits": 8,
1067
+ "group_size": 64,
1068
+ "mode": "affine"
1069
+ },
1070
+ "language_model.model.layers.26.self_attn.v_proj": {
1071
+ "bits": 8,
1072
+ "group_size": 64,
1073
+ "mode": "affine"
1074
+ },
1075
+ "language_model.model.layers.0.mlp.up_proj": {
1076
+ "bits": 8,
1077
+ "group_size": 64,
1078
+ "mode": "affine"
1079
+ },
1080
+ "language_model.model.layers.18.self_attn.o_proj": {
1081
+ "bits": 8,
1082
+ "group_size": 64,
1083
+ "mode": "affine"
1084
+ },
1085
+ "language_model.model.layers.2.self_attn.k_proj": {
1086
+ "bits": 8,
1087
+ "group_size": 64,
1088
+ "mode": "affine"
1089
+ },
1090
+ "language_model.model.layers.0.self_attn.v_proj": {
1091
+ "bits": 8,
1092
+ "group_size": 64,
1093
+ "mode": "affine"
1094
+ },
1095
+ "language_model.model.layers.1.self_attn.v_proj": {
1096
+ "bits": 8,
1097
+ "group_size": 64,
1098
+ "mode": "affine"
1099
+ },
1100
+ "language_model.model.layers.27.self_attn.k_proj": {
1101
+ "bits": 8,
1102
+ "group_size": 64,
1103
+ "mode": "affine"
1104
+ },
1105
+ "language_model.model.layers.26.self_attn.q_proj": {
1106
+ "bits": 8,
1107
+ "group_size": 64,
1108
+ "mode": "affine"
1109
+ },
1110
+ "language_model.model.layers.26.mlp.gate_proj": {
1111
+ "bits": 8,
1112
+ "group_size": 64,
1113
+ "mode": "affine"
1114
+ },
1115
+ "language_model.model.embed_tokens": {
1116
+ "bits": 8,
1117
+ "group_size": 64,
1118
+ "mode": "affine"
1119
+ },
1120
+ "language_model.model.layers.23.self_attn.k_proj": {
1121
+ "bits": 8,
1122
+ "group_size": 64,
1123
+ "mode": "affine"
1124
+ },
1125
+ "language_model.model.layers.17.self_attn.k_proj": {
1126
+ "bits": 8,
1127
+ "group_size": 64,
1128
+ "mode": "affine"
1129
+ },
1130
+ "language_model.model.layers.16.router.proj": {
1131
+ "bits": 8,
1132
+ "group_size": 64,
1133
+ "mode": "affine"
1134
+ },
1135
+ "language_model.model.layers.0.self_attn.o_proj": {
1136
+ "bits": 8,
1137
+ "group_size": 64,
1138
+ "mode": "affine"
1139
+ },
1140
+ "language_model.model.layers.27.self_attn.q_proj": {
1141
+ "bits": 8,
1142
+ "group_size": 64,
1143
+ "mode": "affine"
1144
+ },
1145
+ "language_model.model.layers.3.self_attn.k_proj": {
1146
+ "bits": 8,
1147
+ "group_size": 64,
1148
+ "mode": "affine"
1149
+ },
1150
+ "language_model.model.layers.18.mlp.up_proj": {
1151
+ "bits": 8,
1152
+ "group_size": 64,
1153
+ "mode": "affine"
1154
+ },
1155
+ "language_model.model.layers.16.mlp.up_proj": {
1156
+ "bits": 8,
1157
+ "group_size": 64,
1158
+ "mode": "affine"
1159
+ },
1160
+ "language_model.model.layers.0.router.proj": {
1161
+ "bits": 8,
1162
+ "group_size": 64,
1163
+ "mode": "affine"
1164
+ },
1165
+ "language_model.model.layers.17.mlp.down_proj": {
1166
+ "bits": 8,
1167
+ "group_size": 64,
1168
+ "mode": "affine"
1169
+ },
1170
+ "language_model.model.layers.29.mlp.down_proj": {
1171
+ "bits": 8,
1172
+ "group_size": 64,
1173
+ "mode": "affine"
1174
+ },
1175
+ "language_model.model.layers.23.mlp.up_proj": {
1176
+ "bits": 8,
1177
+ "group_size": 64,
1178
+ "mode": "affine"
1179
+ },
1180
+ "language_model.model.layers.23.mlp.gate_proj": {
1181
+ "bits": 8,
1182
+ "group_size": 64,
1183
+ "mode": "affine"
1184
+ },
1185
+ "language_model.model.layers.23.mlp.down_proj": {
1186
+ "bits": 8,
1187
+ "group_size": 64,
1188
+ "mode": "affine"
1189
+ },
1190
+ "language_model.model.layers.17.router.proj": {
1191
+ "bits": 8,
1192
+ "group_size": 64,
1193
+ "mode": "affine"
1194
+ },
1195
+ "language_model.model.layers.11.mlp.gate_proj": {
1196
+ "bits": 8,
1197
+ "group_size": 64,
1198
+ "mode": "affine"
1199
+ },
1200
+ "language_model.model.layers.29.router.proj": {
1201
+ "bits": 8,
1202
+ "group_size": 64,
1203
+ "mode": "affine"
1204
+ },
1205
+ "language_model.model.layers.17.mlp.up_proj": {
1206
+ "bits": 8,
1207
+ "group_size": 64,
1208
+ "mode": "affine"
1209
+ },
1210
+ "language_model.model.layers.17.mlp.gate_proj": {
1211
+ "bits": 8,
1212
+ "group_size": 64,
1213
+ "mode": "affine"
1214
+ },
1215
+ "language_model.model.layers.23.router.proj": {
1216
+ "bits": 8,
1217
+ "group_size": 64,
1218
+ "mode": "affine"
1219
+ },
1220
+ "language_model.model.layers.29.mlp.up_proj": {
1221
+ "bits": 8,
1222
+ "group_size": 64,
1223
+ "mode": "affine"
1224
+ },
1225
+ "language_model.model.layers.29.mlp.gate_proj": {
1226
+ "bits": 8,
1227
+ "group_size": 64,
1228
+ "mode": "affine"
1229
+ },
1230
+ "language_model.model.layers.11.mlp.up_proj": {
1231
+ "bits": 8,
1232
+ "group_size": 64,
1233
+ "mode": "affine"
1234
+ },
1235
+ "language_model.model.layers.11.router.proj": {
1236
+ "bits": 8,
1237
+ "group_size": 64,
1238
+ "mode": "affine"
1239
+ },
1240
+ "language_model.model.layers.11.mlp.down_proj": {
1241
+ "bits": 8,
1242
+ "group_size": 64,
1243
+ "mode": "affine"
1244
+ }
1245
+ }
1246
+ }
generation_config.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 2,
3
+ "do_sample": true,
4
+ "eos_token_id": [
5
+ 1,
6
+ 106,
7
+ 50
8
+ ],
9
+ "pad_token_id": 0,
10
+ "temperature": 1.0,
11
+ "top_k": 64,
12
+ "top_p": 0.95,
13
+ "transformers_version": "5.5.0.dev0"
14
+ }
model-00001-of-00005.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9713b6cd85aa6cfe79bf351e6d8604ea952f1719bdb155b5e3ef781d0781706c
3
+ size 5002729794
model-00002-of-00005.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7ca374b08cb055f2ce0f0d5808bf8a241191fe0e24d82f7a3f0edd36ed29616a
3
+ size 5056444918
model-00003-of-00005.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d886e7913b3bf5e2a3be576239a389da7b4a806196dc0f136a79e70332d3d9f7
3
+ size 5034328403
model-00004-of-00005.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d66ad1ed794e5bd6cebb156f38ac029cf8562e0deb32c27777e90b1334c45721
3
+ size 5083419258
model-00005-of-00005.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4c83a1769f9ca7b52fa92f5fce048fff7f09a9fc4696785241a4129a43f51216
3
+ size 1851585143
model.safetensors.index.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cc8d3a0ce36466ccc1278bf987df5f71db1719b9ca6b4118264f45cb627bfe0f
3
+ size 32169626
tokenizer_config.json ADDED
@@ -0,0 +1,74 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "audio_token": "<|audio|>",
3
+ "backend": "tokenizers",
4
+ "boa_token": "<|audio>",
5
+ "boi_token": "<|image>",
6
+ "bos_token": "<bos>",
7
+ "eoa_token": "<audio|>",
8
+ "eoc_token": "<channel|>",
9
+ "eoi_token": "<image|>",
10
+ "eos_token": "<eos>",
11
+ "eot_token": "<turn|>",
12
+ "escape_token": "<|\"|>",
13
+ "etc_token": "<tool_call|>",
14
+ "etd_token": "<tool|>",
15
+ "etr_token": "<tool_response|>",
16
+ "extra_special_tokens": [
17
+ "<|video|>"
18
+ ],
19
+ "image_token": "<|image|>",
20
+ "mask_token": "<mask>",
21
+ "model_max_length": 1000000000000000019884624838656,
22
+ "pad_token": "<pad>",
23
+ "padding_side": "left",
24
+ "processor_class": "Gemma4Processor",
25
+ "response_schema": {
26
+ "type": "object",
27
+ "properties": {
28
+ "role": {
29
+ "const": "assistant"
30
+ },
31
+ "thinking": {
32
+ "type": "string"
33
+ },
34
+ "content": {
35
+ "type": "string"
36
+ },
37
+ "tool_calls": {
38
+ "x-regex-iterator": "<\\|tool_call>(.*?)<tool_call\\|>",
39
+ "type": "array",
40
+ "items": {
41
+ "type": "object",
42
+ "properties": {
43
+ "type": {
44
+ "const": "function"
45
+ },
46
+ "function": {
47
+ "type": "object",
48
+ "x-regex": "call\\:(?P<name>\\w+)(?P<arguments>\\{.*\\})",
49
+ "properties": {
50
+ "name": {
51
+ "type": "string"
52
+ },
53
+ "arguments": {
54
+ "type": "object",
55
+ "x-parser": "gemma4-tool-call",
56
+ "additionalProperties": {}
57
+ }
58
+ }
59
+ }
60
+ }
61
+ }
62
+ }
63
+ },
64
+ "x-regex": "(\\<\\|channel\\>thought\\n(?P<thinking>.*?)\\<channel\\|\\>)?(?P<content>(?:(?!\\<\\|tool_call\\>)(?!\\<turn\\|\\>).)+)?(?P<tool_calls>\\<\\|tool_call\\>.*\\<tool_call\\|\\>)?(?:\\<turn\\|\\>)?"
65
+ },
66
+ "soc_token": "<|channel>",
67
+ "sot_token": "<|turn>",
68
+ "stc_token": "<|tool_call>",
69
+ "std_token": "<|tool>",
70
+ "str_token": "<|tool_response>",
71
+ "think_token": "<|think|>",
72
+ "tokenizer_class": "GemmaTokenizer",
73
+ "unk_token": "<unk>"
74
+ }