brainworkup commited on
Commit
74ec461
·
verified ·
1 Parent(s): 996489a

Upload Darwin-4B-David-oQ8e 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
+ # Darwin-4B-David-oQ8e
10
+
11
+ This model was quantized using [oQ](https://github.com/jundot/omlx) (oMLX v0.6.0.dev1) mixed-precision quantization.
12
+
13
+ ## Quantization details
14
+
15
+ - **Model type**: gemma4
16
+ - **Bits**: 8
17
+ - **Group size**: 64
18
+ - **Format**: MLX safetensors
chat_template.jinja ADDED
@@ -0,0 +1,263 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
+ {%- endif -%}
config.json ADDED
@@ -0,0 +1,122 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Gemma4ForConditionalGeneration"
4
+ ],
5
+ "audio_token_id": 258881,
6
+ "boa_token_id": 256000,
7
+ "boi_token_id": 255999,
8
+ "dtype": "bfloat16",
9
+ "eoa_token_id": 258883,
10
+ "eoa_token_index": 258883,
11
+ "eoi_token_id": 258882,
12
+ "eos_token_id": [
13
+ 1,
14
+ 106
15
+ ],
16
+ "initializer_range": 0.02,
17
+ "model_type": "gemma4",
18
+ "text_config": {
19
+ "attention_bias": false,
20
+ "attention_dropout": 0.0,
21
+ "attention_k_eq_v": false,
22
+ "bos_token_id": 2,
23
+ "dtype": "bfloat16",
24
+ "enable_moe_block": false,
25
+ "eos_token_id": 1,
26
+ "expert_intermediate_size": null,
27
+ "final_logit_softcapping": 30.0,
28
+ "global_head_dim": 512,
29
+ "head_dim": 256,
30
+ "hidden_activation": "gelu_pytorch_tanh",
31
+ "hidden_size": 2560,
32
+ "hidden_size_per_layer_input": 256,
33
+ "initializer_range": 0.02,
34
+ "intermediate_size": 10240,
35
+ "layer_types": [
36
+ "sliding_attention",
37
+ "sliding_attention",
38
+ "sliding_attention",
39
+ "sliding_attention",
40
+ "sliding_attention",
41
+ "full_attention",
42
+ "sliding_attention",
43
+ "sliding_attention",
44
+ "sliding_attention",
45
+ "sliding_attention",
46
+ "sliding_attention",
47
+ "full_attention",
48
+ "sliding_attention",
49
+ "sliding_attention",
50
+ "sliding_attention",
51
+ "sliding_attention",
52
+ "sliding_attention",
53
+ "full_attention",
54
+ "sliding_attention",
55
+ "sliding_attention",
56
+ "sliding_attention",
57
+ "sliding_attention",
58
+ "sliding_attention",
59
+ "full_attention",
60
+ "sliding_attention",
61
+ "sliding_attention",
62
+ "sliding_attention",
63
+ "sliding_attention",
64
+ "sliding_attention",
65
+ "full_attention",
66
+ "sliding_attention",
67
+ "sliding_attention",
68
+ "sliding_attention",
69
+ "sliding_attention",
70
+ "sliding_attention",
71
+ "full_attention",
72
+ "sliding_attention",
73
+ "sliding_attention",
74
+ "sliding_attention",
75
+ "sliding_attention",
76
+ "sliding_attention",
77
+ "full_attention"
78
+ ],
79
+ "max_position_embeddings": 131072,
80
+ "model_type": "gemma4_text",
81
+ "num_attention_heads": 8,
82
+ "num_experts": null,
83
+ "num_global_key_value_heads": null,
84
+ "num_hidden_layers": 42,
85
+ "num_key_value_heads": 2,
86
+ "num_kv_shared_layers": 18,
87
+ "pad_token_id": 0,
88
+ "rms_norm_eps": 1e-06,
89
+ "rope_parameters": {
90
+ "full_attention": {
91
+ "partial_rotary_factor": 0.25,
92
+ "rope_theta": 1000000.0,
93
+ "rope_type": "proportional"
94
+ },
95
+ "sliding_attention": {
96
+ "rope_theta": 10000.0,
97
+ "rope_type": "default"
98
+ }
99
+ },
100
+ "sliding_window": 512,
101
+ "tie_word_embeddings": true,
102
+ "top_k_experts": null,
103
+ "use_bidirectional_attention": null,
104
+ "use_cache": true,
105
+ "use_double_wide_mlp": false,
106
+ "vocab_size": 262144,
107
+ "vocab_size_per_layer_input": 262144
108
+ },
109
+ "tie_word_embeddings": true,
110
+ "transformers_version": "5.5.0.dev0",
111
+ "vision_soft_tokens_per_image": 280,
112
+ "quantization": {
113
+ "group_size": 64,
114
+ "bits": 8,
115
+ "mode": "affine"
116
+ },
117
+ "quantization_config": {
118
+ "group_size": 64,
119
+ "bits": 8,
120
+ "mode": "affine"
121
+ }
122
+ }
generation_config.json ADDED
@@ -0,0 +1,19 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
+ "stop_strings": [
15
+ "<|im_end|>",
16
+ "<|im_start|>",
17
+ "<turn|>"
18
+ ]
19
+ }
model-00001-of-00002.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:568c5721daec309d435c3a7af03dc083da948fa0d3a1292751735bb9d49a4835
3
+ size 5008177431
model-00002-of-00002.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f28b36315f1dfe683f11bed7a86b0eb06307321099bf0b8fce53201dd5f94c88
3
+ size 3258820963
model.safetensors.index.json ADDED
The diff for this file is too large to render. See raw diff
 
oq_imatrix_report.json ADDED
@@ -0,0 +1,449 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "enabled": true,
3
+ "cache_path": "/Users/joey/.omlx/models/.oqe_imatrix/Darwin-4B-David-e18f9cb3c949-s128-l512.npz",
4
+ "cache_reused": false,
5
+ "entry_count": 343,
6
+ "calib_dataset": "oqe_code_multilingual",
7
+ "collection": {
8
+ "dataset": "oqe_code_multilingual",
9
+ "requested_samples": 128,
10
+ "seq_length": 512,
11
+ "adaptive": true,
12
+ "adaptive_step_samples": 128,
13
+ "adaptive_max_samples": 1024,
14
+ "available_samples": 1024,
15
+ "micro_batch_size": 2,
16
+ "micro_batches": 64,
17
+ "batch_plan": {
18
+ "micro_batch_size": 2,
19
+ "estimated_sample_bytes": 45613056,
20
+ "capture_budget_bytes": 132352641,
21
+ "system_available_bytes": 29227859968,
22
+ "metal_available_bytes": 49387593920,
23
+ "live_available_bytes": 29227859968,
24
+ "model_bytes": 15992595852,
25
+ "remaining_available_bytes": 13235264116,
26
+ "fits_one_sample": true,
27
+ "hidden_size": 2560,
28
+ "num_experts": 0,
29
+ "top_k": 1,
30
+ "gemma4_state_bytes": 40370176,
31
+ "num_hidden_layers": 42,
32
+ "num_kv_shared_layers": 18,
33
+ "per_layer_input_size": 256
34
+ },
35
+ "processed_samples": 128,
36
+ "installed_modules": 343,
37
+ "capture_module_classes": {
38
+ "Linear": 343
39
+ },
40
+ "switch_capture_modules": 0,
41
+ "requires_expert_counts": false,
42
+ "coverage_sufficient": true,
43
+ "collection_sufficient": true,
44
+ "coverage": {
45
+ "has_expert_counts": false,
46
+ "expert_modules": 0,
47
+ "total_experts": 0,
48
+ "active_experts": 0,
49
+ "zero_count_experts": 0,
50
+ "active_ratio": 1.0,
51
+ "min_count": 0,
52
+ "p05_count": 0.0,
53
+ "p10_count": 0.0,
54
+ "median_count": 0.0,
55
+ "max_count": 0,
56
+ "min_required_count": 16,
57
+ "required_percentile": 5
58
+ },
59
+ "rounds": [
60
+ {
61
+ "processed_samples": 128,
62
+ "coverage_sufficient": true,
63
+ "collection_sufficient": true,
64
+ "coverage": {
65
+ "has_expert_counts": false,
66
+ "expert_modules": 0,
67
+ "total_experts": 0,
68
+ "active_experts": 0,
69
+ "zero_count_experts": 0,
70
+ "active_ratio": 1.0,
71
+ "min_count": 0,
72
+ "p05_count": 0.0,
73
+ "p10_count": 0.0,
74
+ "median_count": 0.0,
75
+ "max_count": 0,
76
+ "min_required_count": 16,
77
+ "required_percentile": 5
78
+ }
79
+ }
80
+ ]
81
+ },
82
+ "expert_coverage": {
83
+ "has_expert_counts": false,
84
+ "expert_modules": 0,
85
+ "total_experts": 0,
86
+ "active_experts": 0,
87
+ "zero_count_experts": 0,
88
+ "active_ratio": 1.0,
89
+ "min_count": 0,
90
+ "p05_count": 0.0,
91
+ "p10_count": 0.0,
92
+ "median_count": 0.0,
93
+ "max_count": 0,
94
+ "min_required_count": 16,
95
+ "required_percentile": 5
96
+ },
97
+ "applied": [
98
+ "language_model.model.layers.0.mlp.down_proj",
99
+ "language_model.model.layers.0.mlp.gate_proj",
100
+ "language_model.model.layers.0.mlp.up_proj",
101
+ "language_model.model.layers.0.per_layer_input_gate",
102
+ "language_model.model.layers.0.per_layer_projection",
103
+ "language_model.model.layers.0.self_attn.k_proj",
104
+ "language_model.model.layers.0.self_attn.o_proj",
105
+ "language_model.model.layers.0.self_attn.q_proj",
106
+ "language_model.model.layers.0.self_attn.v_proj",
107
+ "language_model.model.layers.1.mlp.down_proj",
108
+ "language_model.model.layers.1.mlp.gate_proj",
109
+ "language_model.model.layers.1.mlp.up_proj",
110
+ "language_model.model.layers.1.per_layer_input_gate",
111
+ "language_model.model.layers.1.per_layer_projection",
112
+ "language_model.model.layers.1.self_attn.k_proj",
113
+ "language_model.model.layers.1.self_attn.o_proj",
114
+ "language_model.model.layers.1.self_attn.q_proj",
115
+ "language_model.model.layers.1.self_attn.v_proj",
116
+ "language_model.model.layers.10.mlp.down_proj",
117
+ "language_model.model.layers.10.mlp.gate_proj",
118
+ "language_model.model.layers.10.mlp.up_proj",
119
+ "language_model.model.layers.10.per_layer_input_gate",
120
+ "language_model.model.layers.10.per_layer_projection",
121
+ "language_model.model.layers.10.self_attn.k_proj",
122
+ "language_model.model.layers.10.self_attn.o_proj",
123
+ "language_model.model.layers.10.self_attn.q_proj",
124
+ "language_model.model.layers.10.self_attn.v_proj",
125
+ "language_model.model.layers.11.mlp.down_proj",
126
+ "language_model.model.layers.11.mlp.gate_proj",
127
+ "language_model.model.layers.11.mlp.up_proj",
128
+ "language_model.model.layers.11.per_layer_input_gate",
129
+ "language_model.model.layers.11.per_layer_projection",
130
+ "language_model.model.layers.11.self_attn.k_proj",
131
+ "language_model.model.layers.11.self_attn.o_proj",
132
+ "language_model.model.layers.11.self_attn.q_proj",
133
+ "language_model.model.layers.11.self_attn.v_proj",
134
+ "language_model.model.layers.12.mlp.down_proj",
135
+ "language_model.model.layers.12.mlp.gate_proj",
136
+ "language_model.model.layers.12.mlp.up_proj",
137
+ "language_model.model.layers.12.per_layer_input_gate",
138
+ "language_model.model.layers.12.per_layer_projection",
139
+ "language_model.model.layers.12.self_attn.k_proj",
140
+ "language_model.model.layers.12.self_attn.o_proj",
141
+ "language_model.model.layers.12.self_attn.q_proj",
142
+ "language_model.model.layers.12.self_attn.v_proj",
143
+ "language_model.model.layers.13.mlp.down_proj",
144
+ "language_model.model.layers.13.mlp.gate_proj",
145
+ "language_model.model.layers.13.mlp.up_proj",
146
+ "language_model.model.layers.13.per_layer_input_gate",
147
+ "language_model.model.layers.13.per_layer_projection",
148
+ "language_model.model.layers.13.self_attn.k_proj",
149
+ "language_model.model.layers.13.self_attn.o_proj",
150
+ "language_model.model.layers.13.self_attn.q_proj",
151
+ "language_model.model.layers.13.self_attn.v_proj",
152
+ "language_model.model.layers.14.mlp.down_proj",
153
+ "language_model.model.layers.14.mlp.gate_proj",
154
+ "language_model.model.layers.14.mlp.up_proj",
155
+ "language_model.model.layers.14.per_layer_input_gate",
156
+ "language_model.model.layers.14.per_layer_projection",
157
+ "language_model.model.layers.14.self_attn.k_proj",
158
+ "language_model.model.layers.14.self_attn.o_proj",
159
+ "language_model.model.layers.14.self_attn.q_proj",
160
+ "language_model.model.layers.14.self_attn.v_proj",
161
+ "language_model.model.layers.15.mlp.down_proj",
162
+ "language_model.model.layers.15.mlp.gate_proj",
163
+ "language_model.model.layers.15.mlp.up_proj",
164
+ "language_model.model.layers.15.per_layer_input_gate",
165
+ "language_model.model.layers.15.per_layer_projection",
166
+ "language_model.model.layers.15.self_attn.k_proj",
167
+ "language_model.model.layers.15.self_attn.o_proj",
168
+ "language_model.model.layers.15.self_attn.q_proj",
169
+ "language_model.model.layers.15.self_attn.v_proj",
170
+ "language_model.model.layers.16.mlp.down_proj",
171
+ "language_model.model.layers.16.mlp.gate_proj",
172
+ "language_model.model.layers.16.mlp.up_proj",
173
+ "language_model.model.layers.16.per_layer_input_gate",
174
+ "language_model.model.layers.16.per_layer_projection",
175
+ "language_model.model.layers.16.self_attn.k_proj",
176
+ "language_model.model.layers.16.self_attn.o_proj",
177
+ "language_model.model.layers.16.self_attn.q_proj",
178
+ "language_model.model.layers.16.self_attn.v_proj",
179
+ "language_model.model.layers.17.mlp.down_proj",
180
+ "language_model.model.layers.17.mlp.gate_proj",
181
+ "language_model.model.layers.17.mlp.up_proj",
182
+ "language_model.model.layers.17.per_layer_input_gate",
183
+ "language_model.model.layers.17.per_layer_projection",
184
+ "language_model.model.layers.17.self_attn.k_proj",
185
+ "language_model.model.layers.17.self_attn.o_proj",
186
+ "language_model.model.layers.17.self_attn.q_proj",
187
+ "language_model.model.layers.17.self_attn.v_proj",
188
+ "language_model.model.layers.18.mlp.down_proj",
189
+ "language_model.model.layers.18.mlp.gate_proj",
190
+ "language_model.model.layers.18.mlp.up_proj",
191
+ "language_model.model.layers.18.per_layer_input_gate",
192
+ "language_model.model.layers.18.per_layer_projection",
193
+ "language_model.model.layers.18.self_attn.k_proj",
194
+ "language_model.model.layers.18.self_attn.o_proj",
195
+ "language_model.model.layers.18.self_attn.q_proj",
196
+ "language_model.model.layers.18.self_attn.v_proj",
197
+ "language_model.model.layers.19.mlp.down_proj",
198
+ "language_model.model.layers.19.mlp.gate_proj",
199
+ "language_model.model.layers.19.mlp.up_proj",
200
+ "language_model.model.layers.19.per_layer_input_gate",
201
+ "language_model.model.layers.19.per_layer_projection",
202
+ "language_model.model.layers.19.self_attn.k_proj",
203
+ "language_model.model.layers.19.self_attn.o_proj",
204
+ "language_model.model.layers.19.self_attn.q_proj",
205
+ "language_model.model.layers.19.self_attn.v_proj",
206
+ "language_model.model.layers.2.mlp.down_proj",
207
+ "language_model.model.layers.2.mlp.gate_proj",
208
+ "language_model.model.layers.2.mlp.up_proj",
209
+ "language_model.model.layers.2.per_layer_input_gate",
210
+ "language_model.model.layers.2.per_layer_projection",
211
+ "language_model.model.layers.2.self_attn.k_proj",
212
+ "language_model.model.layers.2.self_attn.o_proj",
213
+ "language_model.model.layers.2.self_attn.q_proj",
214
+ "language_model.model.layers.2.self_attn.v_proj",
215
+ "language_model.model.layers.20.mlp.down_proj",
216
+ "language_model.model.layers.20.mlp.gate_proj",
217
+ "language_model.model.layers.20.mlp.up_proj",
218
+ "language_model.model.layers.20.per_layer_input_gate",
219
+ "language_model.model.layers.20.per_layer_projection",
220
+ "language_model.model.layers.20.self_attn.k_proj",
221
+ "language_model.model.layers.20.self_attn.o_proj",
222
+ "language_model.model.layers.20.self_attn.q_proj",
223
+ "language_model.model.layers.20.self_attn.v_proj",
224
+ "language_model.model.layers.21.mlp.down_proj",
225
+ "language_model.model.layers.21.mlp.gate_proj",
226
+ "language_model.model.layers.21.mlp.up_proj",
227
+ "language_model.model.layers.21.per_layer_input_gate",
228
+ "language_model.model.layers.21.per_layer_projection",
229
+ "language_model.model.layers.21.self_attn.k_proj",
230
+ "language_model.model.layers.21.self_attn.o_proj",
231
+ "language_model.model.layers.21.self_attn.q_proj",
232
+ "language_model.model.layers.21.self_attn.v_proj",
233
+ "language_model.model.layers.22.mlp.down_proj",
234
+ "language_model.model.layers.22.mlp.gate_proj",
235
+ "language_model.model.layers.22.mlp.up_proj",
236
+ "language_model.model.layers.22.per_layer_input_gate",
237
+ "language_model.model.layers.22.per_layer_projection",
238
+ "language_model.model.layers.22.self_attn.k_proj",
239
+ "language_model.model.layers.22.self_attn.o_proj",
240
+ "language_model.model.layers.22.self_attn.q_proj",
241
+ "language_model.model.layers.22.self_attn.v_proj",
242
+ "language_model.model.layers.23.mlp.down_proj",
243
+ "language_model.model.layers.23.mlp.gate_proj",
244
+ "language_model.model.layers.23.mlp.up_proj",
245
+ "language_model.model.layers.23.per_layer_input_gate",
246
+ "language_model.model.layers.23.per_layer_projection",
247
+ "language_model.model.layers.23.self_attn.k_proj",
248
+ "language_model.model.layers.23.self_attn.o_proj",
249
+ "language_model.model.layers.23.self_attn.q_proj",
250
+ "language_model.model.layers.23.self_attn.v_proj",
251
+ "language_model.model.layers.24.mlp.down_proj",
252
+ "language_model.model.layers.24.mlp.gate_proj",
253
+ "language_model.model.layers.24.mlp.up_proj",
254
+ "language_model.model.layers.24.per_layer_input_gate",
255
+ "language_model.model.layers.24.per_layer_projection",
256
+ "language_model.model.layers.24.self_attn.o_proj",
257
+ "language_model.model.layers.24.self_attn.q_proj",
258
+ "language_model.model.layers.25.mlp.down_proj",
259
+ "language_model.model.layers.25.mlp.gate_proj",
260
+ "language_model.model.layers.25.mlp.up_proj",
261
+ "language_model.model.layers.25.per_layer_input_gate",
262
+ "language_model.model.layers.25.per_layer_projection",
263
+ "language_model.model.layers.25.self_attn.o_proj",
264
+ "language_model.model.layers.25.self_attn.q_proj",
265
+ "language_model.model.layers.26.mlp.down_proj",
266
+ "language_model.model.layers.26.mlp.gate_proj",
267
+ "language_model.model.layers.26.mlp.up_proj",
268
+ "language_model.model.layers.26.per_layer_input_gate",
269
+ "language_model.model.layers.26.per_layer_projection",
270
+ "language_model.model.layers.26.self_attn.o_proj",
271
+ "language_model.model.layers.26.self_attn.q_proj",
272
+ "language_model.model.layers.27.mlp.down_proj",
273
+ "language_model.model.layers.27.mlp.gate_proj",
274
+ "language_model.model.layers.27.mlp.up_proj",
275
+ "language_model.model.layers.27.per_layer_input_gate",
276
+ "language_model.model.layers.27.per_layer_projection",
277
+ "language_model.model.layers.27.self_attn.o_proj",
278
+ "language_model.model.layers.27.self_attn.q_proj",
279
+ "language_model.model.layers.28.mlp.down_proj",
280
+ "language_model.model.layers.28.mlp.gate_proj",
281
+ "language_model.model.layers.28.mlp.up_proj",
282
+ "language_model.model.layers.28.per_layer_input_gate",
283
+ "language_model.model.layers.28.per_layer_projection",
284
+ "language_model.model.layers.28.self_attn.o_proj",
285
+ "language_model.model.layers.28.self_attn.q_proj",
286
+ "language_model.model.layers.29.mlp.down_proj",
287
+ "language_model.model.layers.29.mlp.gate_proj",
288
+ "language_model.model.layers.29.mlp.up_proj",
289
+ "language_model.model.layers.29.per_layer_input_gate",
290
+ "language_model.model.layers.29.per_layer_projection",
291
+ "language_model.model.layers.29.self_attn.o_proj",
292
+ "language_model.model.layers.29.self_attn.q_proj",
293
+ "language_model.model.layers.3.mlp.down_proj",
294
+ "language_model.model.layers.3.mlp.gate_proj",
295
+ "language_model.model.layers.3.mlp.up_proj",
296
+ "language_model.model.layers.3.per_layer_input_gate",
297
+ "language_model.model.layers.3.per_layer_projection",
298
+ "language_model.model.layers.3.self_attn.k_proj",
299
+ "language_model.model.layers.3.self_attn.o_proj",
300
+ "language_model.model.layers.3.self_attn.q_proj",
301
+ "language_model.model.layers.3.self_attn.v_proj",
302
+ "language_model.model.layers.30.mlp.down_proj",
303
+ "language_model.model.layers.30.mlp.gate_proj",
304
+ "language_model.model.layers.30.mlp.up_proj",
305
+ "language_model.model.layers.30.per_layer_input_gate",
306
+ "language_model.model.layers.30.per_layer_projection",
307
+ "language_model.model.layers.30.self_attn.o_proj",
308
+ "language_model.model.layers.30.self_attn.q_proj",
309
+ "language_model.model.layers.31.mlp.down_proj",
310
+ "language_model.model.layers.31.mlp.gate_proj",
311
+ "language_model.model.layers.31.mlp.up_proj",
312
+ "language_model.model.layers.31.per_layer_input_gate",
313
+ "language_model.model.layers.31.per_layer_projection",
314
+ "language_model.model.layers.31.self_attn.o_proj",
315
+ "language_model.model.layers.31.self_attn.q_proj",
316
+ "language_model.model.layers.32.mlp.down_proj",
317
+ "language_model.model.layers.32.mlp.gate_proj",
318
+ "language_model.model.layers.32.mlp.up_proj",
319
+ "language_model.model.layers.32.per_layer_input_gate",
320
+ "language_model.model.layers.32.per_layer_projection",
321
+ "language_model.model.layers.32.self_attn.o_proj",
322
+ "language_model.model.layers.32.self_attn.q_proj",
323
+ "language_model.model.layers.33.mlp.down_proj",
324
+ "language_model.model.layers.33.mlp.gate_proj",
325
+ "language_model.model.layers.33.mlp.up_proj",
326
+ "language_model.model.layers.33.per_layer_input_gate",
327
+ "language_model.model.layers.33.per_layer_projection",
328
+ "language_model.model.layers.33.self_attn.o_proj",
329
+ "language_model.model.layers.33.self_attn.q_proj",
330
+ "language_model.model.layers.34.mlp.down_proj",
331
+ "language_model.model.layers.34.mlp.gate_proj",
332
+ "language_model.model.layers.34.mlp.up_proj",
333
+ "language_model.model.layers.34.per_layer_input_gate",
334
+ "language_model.model.layers.34.per_layer_projection",
335
+ "language_model.model.layers.34.self_attn.o_proj",
336
+ "language_model.model.layers.34.self_attn.q_proj",
337
+ "language_model.model.layers.35.mlp.down_proj",
338
+ "language_model.model.layers.35.mlp.gate_proj",
339
+ "language_model.model.layers.35.mlp.up_proj",
340
+ "language_model.model.layers.35.per_layer_input_gate",
341
+ "language_model.model.layers.35.per_layer_projection",
342
+ "language_model.model.layers.35.self_attn.o_proj",
343
+ "language_model.model.layers.35.self_attn.q_proj",
344
+ "language_model.model.layers.36.mlp.down_proj",
345
+ "language_model.model.layers.36.mlp.gate_proj",
346
+ "language_model.model.layers.36.mlp.up_proj",
347
+ "language_model.model.layers.36.per_layer_input_gate",
348
+ "language_model.model.layers.36.per_layer_projection",
349
+ "language_model.model.layers.36.self_attn.o_proj",
350
+ "language_model.model.layers.36.self_attn.q_proj",
351
+ "language_model.model.layers.37.mlp.down_proj",
352
+ "language_model.model.layers.37.mlp.gate_proj",
353
+ "language_model.model.layers.37.mlp.up_proj",
354
+ "language_model.model.layers.37.per_layer_input_gate",
355
+ "language_model.model.layers.37.per_layer_projection",
356
+ "language_model.model.layers.37.self_attn.o_proj",
357
+ "language_model.model.layers.37.self_attn.q_proj",
358
+ "language_model.model.layers.38.mlp.down_proj",
359
+ "language_model.model.layers.38.mlp.gate_proj",
360
+ "language_model.model.layers.38.mlp.up_proj",
361
+ "language_model.model.layers.38.per_layer_input_gate",
362
+ "language_model.model.layers.38.per_layer_projection",
363
+ "language_model.model.layers.38.self_attn.o_proj",
364
+ "language_model.model.layers.38.self_attn.q_proj",
365
+ "language_model.model.layers.39.mlp.down_proj",
366
+ "language_model.model.layers.39.mlp.gate_proj",
367
+ "language_model.model.layers.39.mlp.up_proj",
368
+ "language_model.model.layers.39.per_layer_input_gate",
369
+ "language_model.model.layers.39.per_layer_projection",
370
+ "language_model.model.layers.39.self_attn.o_proj",
371
+ "language_model.model.layers.39.self_attn.q_proj",
372
+ "language_model.model.layers.4.mlp.down_proj",
373
+ "language_model.model.layers.4.mlp.gate_proj",
374
+ "language_model.model.layers.4.mlp.up_proj",
375
+ "language_model.model.layers.4.per_layer_input_gate",
376
+ "language_model.model.layers.4.per_layer_projection",
377
+ "language_model.model.layers.4.self_attn.k_proj",
378
+ "language_model.model.layers.4.self_attn.o_proj",
379
+ "language_model.model.layers.4.self_attn.q_proj",
380
+ "language_model.model.layers.4.self_attn.v_proj",
381
+ "language_model.model.layers.40.mlp.down_proj",
382
+ "language_model.model.layers.40.mlp.gate_proj",
383
+ "language_model.model.layers.40.mlp.up_proj",
384
+ "language_model.model.layers.40.per_layer_input_gate",
385
+ "language_model.model.layers.40.per_layer_projection",
386
+ "language_model.model.layers.40.self_attn.o_proj",
387
+ "language_model.model.layers.40.self_attn.q_proj",
388
+ "language_model.model.layers.41.mlp.down_proj",
389
+ "language_model.model.layers.41.mlp.gate_proj",
390
+ "language_model.model.layers.41.mlp.up_proj",
391
+ "language_model.model.layers.41.per_layer_input_gate",
392
+ "language_model.model.layers.41.per_layer_projection",
393
+ "language_model.model.layers.41.self_attn.o_proj",
394
+ "language_model.model.layers.41.self_attn.q_proj",
395
+ "language_model.model.layers.5.mlp.down_proj",
396
+ "language_model.model.layers.5.mlp.gate_proj",
397
+ "language_model.model.layers.5.mlp.up_proj",
398
+ "language_model.model.layers.5.per_layer_input_gate",
399
+ "language_model.model.layers.5.per_layer_projection",
400
+ "language_model.model.layers.5.self_attn.k_proj",
401
+ "language_model.model.layers.5.self_attn.o_proj",
402
+ "language_model.model.layers.5.self_attn.q_proj",
403
+ "language_model.model.layers.5.self_attn.v_proj",
404
+ "language_model.model.layers.6.mlp.down_proj",
405
+ "language_model.model.layers.6.mlp.gate_proj",
406
+ "language_model.model.layers.6.mlp.up_proj",
407
+ "language_model.model.layers.6.per_layer_input_gate",
408
+ "language_model.model.layers.6.per_layer_projection",
409
+ "language_model.model.layers.6.self_attn.k_proj",
410
+ "language_model.model.layers.6.self_attn.o_proj",
411
+ "language_model.model.layers.6.self_attn.q_proj",
412
+ "language_model.model.layers.6.self_attn.v_proj",
413
+ "language_model.model.layers.7.mlp.down_proj",
414
+ "language_model.model.layers.7.mlp.gate_proj",
415
+ "language_model.model.layers.7.mlp.up_proj",
416
+ "language_model.model.layers.7.per_layer_input_gate",
417
+ "language_model.model.layers.7.per_layer_projection",
418
+ "language_model.model.layers.7.self_attn.k_proj",
419
+ "language_model.model.layers.7.self_attn.o_proj",
420
+ "language_model.model.layers.7.self_attn.q_proj",
421
+ "language_model.model.layers.7.self_attn.v_proj",
422
+ "language_model.model.layers.8.mlp.down_proj",
423
+ "language_model.model.layers.8.mlp.gate_proj",
424
+ "language_model.model.layers.8.mlp.up_proj",
425
+ "language_model.model.layers.8.per_layer_input_gate",
426
+ "language_model.model.layers.8.per_layer_projection",
427
+ "language_model.model.layers.8.self_attn.k_proj",
428
+ "language_model.model.layers.8.self_attn.o_proj",
429
+ "language_model.model.layers.8.self_attn.q_proj",
430
+ "language_model.model.layers.8.self_attn.v_proj",
431
+ "language_model.model.layers.9.mlp.down_proj",
432
+ "language_model.model.layers.9.mlp.gate_proj",
433
+ "language_model.model.layers.9.mlp.up_proj",
434
+ "language_model.model.layers.9.per_layer_input_gate",
435
+ "language_model.model.layers.9.per_layer_projection",
436
+ "language_model.model.layers.9.self_attn.k_proj",
437
+ "language_model.model.layers.9.self_attn.o_proj",
438
+ "language_model.model.layers.9.self_attn.q_proj",
439
+ "language_model.model.layers.9.self_attn.v_proj",
440
+ "language_model.model.per_layer_model_projection"
441
+ ],
442
+ "missing": [
443
+ "embed_vision.embedding_projection",
444
+ "language_model.model.embed_tokens",
445
+ "language_model.model.embed_tokens_per_layer"
446
+ ],
447
+ "mismatched": [],
448
+ "zero_count_experts": 0
449
+ }
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 +1,95 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
+ "is_local": true,
21
+ "mask_token": "<mask>",
22
+ "model_max_length": 1000000000000000019884624838656,
23
+ "model_specific_special_tokens": {
24
+ "audio_token": "<|audio|>",
25
+ "boa_token": "<|audio>",
26
+ "boi_token": "<|image>",
27
+ "eoa_token": "<audio|>",
28
+ "eoc_token": "<channel|>",
29
+ "eoi_token": "<image|>",
30
+ "eot_token": "<turn|>",
31
+ "escape_token": "<|\"|>",
32
+ "etc_token": "<tool_call|>",
33
+ "etd_token": "<tool|>",
34
+ "etr_token": "<tool_response|>",
35
+ "image_token": "<|image|>",
36
+ "soc_token": "<|channel>",
37
+ "sot_token": "<|turn>",
38
+ "stc_token": "<|tool_call>",
39
+ "std_token": "<|tool>",
40
+ "str_token": "<|tool_response>",
41
+ "think_token": "<|think|>"
42
+ },
43
+ "pad_token": "<pad>",
44
+ "padding_side": "left",
45
+ "processor_class": "Gemma4Processor",
46
+ "response_schema": {
47
+ "properties": {
48
+ "content": {
49
+ "type": "string"
50
+ },
51
+ "role": {
52
+ "const": "assistant"
53
+ },
54
+ "thinking": {
55
+ "type": "string"
56
+ },
57
+ "tool_calls": {
58
+ "items": {
59
+ "properties": {
60
+ "function": {
61
+ "properties": {
62
+ "arguments": {
63
+ "additionalProperties": {},
64
+ "type": "object",
65
+ "x-parser": "gemma4-tool-call"
66
+ },
67
+ "name": {
68
+ "type": "string"
69
+ }
70
+ },
71
+ "type": "object",
72
+ "x-regex": "call\\:(?P<name>\\w+)(?P<arguments>\\{.*\\})"
73
+ },
74
+ "type": {
75
+ "const": "function"
76
+ }
77
+ },
78
+ "type": "object"
79
+ },
80
+ "type": "array",
81
+ "x-regex-iterator": "<\\|tool_call>(.*?)<tool_call\\|>"
82
+ }
83
+ },
84
+ "type": "object",
85
+ "x-regex": "(\\<\\|channel\\>thought\\n(?P<thinking>.*?)\\<channel\\|\\>)?(?P<content>(?:(?!\\<\\|tool_call\\>)(?!\\<turn\\|\\>).)+)?(?P<tool_calls>\\<\\|tool_call\\>.*\\<tool_call\\|\\>)?(?:\\<turn\\|\\>)?"
86
+ },
87
+ "soc_token": "<|channel>",
88
+ "sot_token": "<|turn>",
89
+ "stc_token": "<|tool_call>",
90
+ "std_token": "<|tool>",
91
+ "str_token": "<|tool_response>",
92
+ "think_token": "<|think|>",
93
+ "tokenizer_class": "GemmaTokenizer",
94
+ "unk_token": "<unk>"
95
+ }