zecanard commited on
Commit
f023403
·
verified ·
1 Parent(s): ab01be4

Add files using upload-large-folder tool

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 +1,48 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ language:
3
+ - en
4
+ - zh
5
+ - ko
6
+ - ja
7
+ license: apache-2.0
8
+ base_model: Jackrong/Gemopus-4-E4B-it
9
+ library_name: mlx
10
+ tags:
11
+ - mlx
12
+ - gemma
13
+ - gemma4
14
+ - edge-ai
15
+ - instruction-tuned
16
+ - reasoning
17
+ - privacy
18
+ - human-preference-alignment
19
+ pipeline_tag: image-text-to-text
20
+ ---
21
+ # 🦆 zecanard/Gemopus-4-E4B-it-MLX-8bit-affine
22
+
23
+ [This model](https://huggingface.co/zecanard/Gemopus-4-E4B-it-MLX-8bit-affine) was converted to MLX from [`Jackrong/Gemopus-4-E4B-it`](https://huggingface.co/Jackrong/Gemopus-4-E4B-it) using `mlx-vlm` version **0.4.4**.
24
+ Please refer to the [original model card](https://huggingface.co/Jackrong/Gemopus-4-E4B-it) for more details.
25
+
26
+ ## 🌟 Quality
27
+
28
+ Quantized vision language model with an effective **9.260 bits per weight**.
29
+
30
+ `mlx_vlm.convert --quantize --q-group-size 32 --q-bits 8 --q-mode affine`
31
+
32
+ ## 🛠️ Customizations
33
+
34
+ This quant is aware of the current date, and also enables thinking (if available). You may disable this behavior by deleting the following line from the chat template:
35
+
36
+ `{%- set enable_thinking = true %}`
37
+
38
+ You may also need to adjust your environment’s **Reasoning Section Parsing** to recognize `<|channel>thought` as the **Start String**, and `<channel|>` as the **End String**.
39
+
40
+ ## 🖥️ Use with `mlx`
41
+
42
+ ```bash
43
+ pip install -U mlx-vlm
44
+ ```
45
+
46
+ ```bash
47
+ mlx_vlm.generate --model zecanard/Gemopus-4-E4B-it-MLX-8bit-affine --max-tokens 100 --temperature 0 --prompt "Describe this image." --image <path_to_image>
48
+ ```
chat_template.jinja ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {#- Template customizations by @zecanard. #}
2
+ {%- set enable_thinking = true %}
3
+ {%- if strftime_now is defined %}
4
+ {%- set currentDate = strftime_now("%Y-%m-%d %G:%i:%s") %}
5
+ {%- elif not currentDate is defined %}
6
+ {%- set currentDate = "2026-04-15" %}
7
+ {%- endif %}
8
+ {{- "The current date is: " + currentDate + ".\n\n" }}
9
+ {#- Template customizations by @zecanard. #}
10
+ {{ bos_token }}{%- if messages[0]['role'] == 'system' -%}
11
+ {%- set first_user_prefix = messages[0]['content'] + '
12
+
13
+ ' -%}
14
+ {%- set loop_messages = messages[1:] -%}
15
+ {%- else -%}
16
+ {%- set first_user_prefix = "" -%}
17
+ {%- set loop_messages = messages -%}
18
+ {%- endif -%}
19
+ {%- for message in loop_messages -%}
20
+ {%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) -%}
21
+ {{ raise_exception("Conversation roles must alternate user/assistant/user/assistant/...") }}
22
+ {%- endif -%}
23
+ {%- if (message['role'] == 'assistant') -%}
24
+ {%- set role = "model" -%}
25
+ {%- else -%}
26
+ {%- set role = message['role'] -%}
27
+ {%- endif -%}
28
+ {{ '<|turn>' + role + '
29
+ ' + (first_user_prefix if loop.first else "") }}
30
+ {%- if message['content'] is string -%}
31
+ {{ message['content'] | trim }}
32
+ {%- elif message['content'] is iterable -%}
33
+ {%- for item in message['content'] -%}
34
+ {%- if item['type'] == 'audio' -%}
35
+ {{ '<|audio|>' }}
36
+ {%- elif item['type'] == 'image' -%}
37
+ {{ '<|image|>' }}
38
+ {%- elif item['type'] == 'video' -%}
39
+ {{ '<|video|>' }}
40
+ {%- elif item['type'] == 'text' -%}
41
+ {{ item['text'] | trim }}
42
+ {%- endif -%}
43
+ {%- endfor -%}
44
+ {%- else -%}
45
+ {{ raise_exception("Invalid content type") }}
46
+ {%- endif -%}
47
+ {{ '<turn|>
48
+ ' }}
49
+ {%- endfor -%}
50
+ {%- if add_generation_prompt -%}
51
+ {{'<|turn>model
52
+ '}}
53
+ {%- endif -%}
config.json ADDED
@@ -0,0 +1,1217 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Gemma4ForConditionalGeneration"
4
+ ],
5
+ "audio_config": {
6
+ "_name_or_path": "",
7
+ "architectures": null,
8
+ "attention_chunk_size": 12,
9
+ "attention_context_left": 13,
10
+ "attention_context_right": 0,
11
+ "attention_invalid_logits_value": -1000000000.0,
12
+ "attention_logit_cap": 50.0,
13
+ "chunk_size_feed_forward": 0,
14
+ "conv_kernel_size": 5,
15
+ "torch_dtype": "bfloat16",
16
+ "gradient_clipping": 10000000000.0,
17
+ "hidden_act": "silu",
18
+ "hidden_size": 1024,
19
+ "id2label": {
20
+ "0": "LABEL_0",
21
+ "1": "LABEL_1"
22
+ },
23
+ "initializer_range": 0.02,
24
+ "is_encoder_decoder": false,
25
+ "label2id": {
26
+ "LABEL_0": 0,
27
+ "LABEL_1": 1
28
+ },
29
+ "model_type": "gemma4_audio",
30
+ "num_attention_heads": 8,
31
+ "num_hidden_layers": 12,
32
+ "output_attentions": false,
33
+ "output_hidden_states": false,
34
+ "output_proj_dims": 1536,
35
+ "problem_type": null,
36
+ "residual_weight": 0.5,
37
+ "return_dict": true,
38
+ "rms_norm_eps": 1e-06,
39
+ "subsampling_conv_channels": [
40
+ 128,
41
+ 32
42
+ ],
43
+ "use_clipped_linears": true
44
+ },
45
+ "audio_token_id": 258881,
46
+ "boa_token_id": 256000,
47
+ "boi_token_id": 255999,
48
+ "bos_token_id": 2,
49
+ "eoa_token_id": 258883,
50
+ "eoa_token_index": 258883,
51
+ "eoi_token_id": 258882,
52
+ "eos_token_id": 106,
53
+ "image_token_id": 258880,
54
+ "initializer_range": 0.02,
55
+ "model_name": "unsloth/gemma-4-E4B-it",
56
+ "model_type": "gemma4",
57
+ "pad_token_id": 0,
58
+ "quantization": {
59
+ "group_size": 32,
60
+ "bits": 8,
61
+ "mode": "affine",
62
+ "language_model.model.layers.0.mlp.gate_proj": {
63
+ "group_size": 64,
64
+ "bits": 8
65
+ },
66
+ "language_model.model.layers.0.mlp.down_proj": {
67
+ "group_size": 64,
68
+ "bits": 8
69
+ },
70
+ "language_model.model.layers.0.mlp.up_proj": {
71
+ "group_size": 64,
72
+ "bits": 8
73
+ },
74
+ "language_model.model.layers.1.mlp.gate_proj": {
75
+ "group_size": 64,
76
+ "bits": 8
77
+ },
78
+ "language_model.model.layers.1.mlp.down_proj": {
79
+ "group_size": 64,
80
+ "bits": 8
81
+ },
82
+ "language_model.model.layers.1.mlp.up_proj": {
83
+ "group_size": 64,
84
+ "bits": 8
85
+ },
86
+ "language_model.model.layers.2.mlp.gate_proj": {
87
+ "group_size": 64,
88
+ "bits": 8
89
+ },
90
+ "language_model.model.layers.2.mlp.down_proj": {
91
+ "group_size": 64,
92
+ "bits": 8
93
+ },
94
+ "language_model.model.layers.2.mlp.up_proj": {
95
+ "group_size": 64,
96
+ "bits": 8
97
+ },
98
+ "language_model.model.layers.3.mlp.gate_proj": {
99
+ "group_size": 64,
100
+ "bits": 8
101
+ },
102
+ "language_model.model.layers.3.mlp.down_proj": {
103
+ "group_size": 64,
104
+ "bits": 8
105
+ },
106
+ "language_model.model.layers.3.mlp.up_proj": {
107
+ "group_size": 64,
108
+ "bits": 8
109
+ },
110
+ "language_model.model.layers.4.mlp.gate_proj": {
111
+ "group_size": 64,
112
+ "bits": 8
113
+ },
114
+ "language_model.model.layers.4.mlp.down_proj": {
115
+ "group_size": 64,
116
+ "bits": 8
117
+ },
118
+ "language_model.model.layers.4.mlp.up_proj": {
119
+ "group_size": 64,
120
+ "bits": 8
121
+ },
122
+ "language_model.model.layers.5.mlp.gate_proj": {
123
+ "group_size": 64,
124
+ "bits": 8
125
+ },
126
+ "language_model.model.layers.5.mlp.down_proj": {
127
+ "group_size": 64,
128
+ "bits": 8
129
+ },
130
+ "language_model.model.layers.5.mlp.up_proj": {
131
+ "group_size": 64,
132
+ "bits": 8
133
+ },
134
+ "language_model.model.layers.6.mlp.gate_proj": {
135
+ "group_size": 64,
136
+ "bits": 8
137
+ },
138
+ "language_model.model.layers.6.mlp.down_proj": {
139
+ "group_size": 64,
140
+ "bits": 8
141
+ },
142
+ "language_model.model.layers.6.mlp.up_proj": {
143
+ "group_size": 64,
144
+ "bits": 8
145
+ },
146
+ "language_model.model.layers.7.mlp.gate_proj": {
147
+ "group_size": 64,
148
+ "bits": 8
149
+ },
150
+ "language_model.model.layers.7.mlp.down_proj": {
151
+ "group_size": 64,
152
+ "bits": 8
153
+ },
154
+ "language_model.model.layers.7.mlp.up_proj": {
155
+ "group_size": 64,
156
+ "bits": 8
157
+ },
158
+ "language_model.model.layers.8.mlp.gate_proj": {
159
+ "group_size": 64,
160
+ "bits": 8
161
+ },
162
+ "language_model.model.layers.8.mlp.down_proj": {
163
+ "group_size": 64,
164
+ "bits": 8
165
+ },
166
+ "language_model.model.layers.8.mlp.up_proj": {
167
+ "group_size": 64,
168
+ "bits": 8
169
+ },
170
+ "language_model.model.layers.9.mlp.gate_proj": {
171
+ "group_size": 64,
172
+ "bits": 8
173
+ },
174
+ "language_model.model.layers.9.mlp.down_proj": {
175
+ "group_size": 64,
176
+ "bits": 8
177
+ },
178
+ "language_model.model.layers.9.mlp.up_proj": {
179
+ "group_size": 64,
180
+ "bits": 8
181
+ },
182
+ "language_model.model.layers.10.mlp.gate_proj": {
183
+ "group_size": 64,
184
+ "bits": 8
185
+ },
186
+ "language_model.model.layers.10.mlp.down_proj": {
187
+ "group_size": 64,
188
+ "bits": 8
189
+ },
190
+ "language_model.model.layers.10.mlp.up_proj": {
191
+ "group_size": 64,
192
+ "bits": 8
193
+ },
194
+ "language_model.model.layers.11.mlp.gate_proj": {
195
+ "group_size": 64,
196
+ "bits": 8
197
+ },
198
+ "language_model.model.layers.11.mlp.down_proj": {
199
+ "group_size": 64,
200
+ "bits": 8
201
+ },
202
+ "language_model.model.layers.11.mlp.up_proj": {
203
+ "group_size": 64,
204
+ "bits": 8
205
+ },
206
+ "language_model.model.layers.12.mlp.gate_proj": {
207
+ "group_size": 64,
208
+ "bits": 8
209
+ },
210
+ "language_model.model.layers.12.mlp.down_proj": {
211
+ "group_size": 64,
212
+ "bits": 8
213
+ },
214
+ "language_model.model.layers.12.mlp.up_proj": {
215
+ "group_size": 64,
216
+ "bits": 8
217
+ },
218
+ "language_model.model.layers.13.mlp.gate_proj": {
219
+ "group_size": 64,
220
+ "bits": 8
221
+ },
222
+ "language_model.model.layers.13.mlp.down_proj": {
223
+ "group_size": 64,
224
+ "bits": 8
225
+ },
226
+ "language_model.model.layers.13.mlp.up_proj": {
227
+ "group_size": 64,
228
+ "bits": 8
229
+ },
230
+ "language_model.model.layers.14.mlp.gate_proj": {
231
+ "group_size": 64,
232
+ "bits": 8
233
+ },
234
+ "language_model.model.layers.14.mlp.down_proj": {
235
+ "group_size": 64,
236
+ "bits": 8
237
+ },
238
+ "language_model.model.layers.14.mlp.up_proj": {
239
+ "group_size": 64,
240
+ "bits": 8
241
+ },
242
+ "language_model.model.layers.15.mlp.gate_proj": {
243
+ "group_size": 64,
244
+ "bits": 8
245
+ },
246
+ "language_model.model.layers.15.mlp.down_proj": {
247
+ "group_size": 64,
248
+ "bits": 8
249
+ },
250
+ "language_model.model.layers.15.mlp.up_proj": {
251
+ "group_size": 64,
252
+ "bits": 8
253
+ },
254
+ "language_model.model.layers.16.mlp.gate_proj": {
255
+ "group_size": 64,
256
+ "bits": 8
257
+ },
258
+ "language_model.model.layers.16.mlp.down_proj": {
259
+ "group_size": 64,
260
+ "bits": 8
261
+ },
262
+ "language_model.model.layers.16.mlp.up_proj": {
263
+ "group_size": 64,
264
+ "bits": 8
265
+ },
266
+ "language_model.model.layers.17.mlp.gate_proj": {
267
+ "group_size": 64,
268
+ "bits": 8
269
+ },
270
+ "language_model.model.layers.17.mlp.down_proj": {
271
+ "group_size": 64,
272
+ "bits": 8
273
+ },
274
+ "language_model.model.layers.17.mlp.up_proj": {
275
+ "group_size": 64,
276
+ "bits": 8
277
+ },
278
+ "language_model.model.layers.18.mlp.gate_proj": {
279
+ "group_size": 64,
280
+ "bits": 8
281
+ },
282
+ "language_model.model.layers.18.mlp.down_proj": {
283
+ "group_size": 64,
284
+ "bits": 8
285
+ },
286
+ "language_model.model.layers.18.mlp.up_proj": {
287
+ "group_size": 64,
288
+ "bits": 8
289
+ },
290
+ "language_model.model.layers.19.mlp.gate_proj": {
291
+ "group_size": 64,
292
+ "bits": 8
293
+ },
294
+ "language_model.model.layers.19.mlp.down_proj": {
295
+ "group_size": 64,
296
+ "bits": 8
297
+ },
298
+ "language_model.model.layers.19.mlp.up_proj": {
299
+ "group_size": 64,
300
+ "bits": 8
301
+ },
302
+ "language_model.model.layers.20.mlp.gate_proj": {
303
+ "group_size": 64,
304
+ "bits": 8
305
+ },
306
+ "language_model.model.layers.20.mlp.down_proj": {
307
+ "group_size": 64,
308
+ "bits": 8
309
+ },
310
+ "language_model.model.layers.20.mlp.up_proj": {
311
+ "group_size": 64,
312
+ "bits": 8
313
+ },
314
+ "language_model.model.layers.21.mlp.gate_proj": {
315
+ "group_size": 64,
316
+ "bits": 8
317
+ },
318
+ "language_model.model.layers.21.mlp.down_proj": {
319
+ "group_size": 64,
320
+ "bits": 8
321
+ },
322
+ "language_model.model.layers.21.mlp.up_proj": {
323
+ "group_size": 64,
324
+ "bits": 8
325
+ },
326
+ "language_model.model.layers.22.mlp.gate_proj": {
327
+ "group_size": 64,
328
+ "bits": 8
329
+ },
330
+ "language_model.model.layers.22.mlp.down_proj": {
331
+ "group_size": 64,
332
+ "bits": 8
333
+ },
334
+ "language_model.model.layers.22.mlp.up_proj": {
335
+ "group_size": 64,
336
+ "bits": 8
337
+ },
338
+ "language_model.model.layers.23.mlp.gate_proj": {
339
+ "group_size": 64,
340
+ "bits": 8
341
+ },
342
+ "language_model.model.layers.23.mlp.down_proj": {
343
+ "group_size": 64,
344
+ "bits": 8
345
+ },
346
+ "language_model.model.layers.23.mlp.up_proj": {
347
+ "group_size": 64,
348
+ "bits": 8
349
+ },
350
+ "language_model.model.layers.24.mlp.gate_proj": {
351
+ "group_size": 64,
352
+ "bits": 8
353
+ },
354
+ "language_model.model.layers.24.mlp.down_proj": {
355
+ "group_size": 64,
356
+ "bits": 8
357
+ },
358
+ "language_model.model.layers.24.mlp.up_proj": {
359
+ "group_size": 64,
360
+ "bits": 8
361
+ },
362
+ "language_model.model.layers.25.mlp.gate_proj": {
363
+ "group_size": 64,
364
+ "bits": 8
365
+ },
366
+ "language_model.model.layers.25.mlp.down_proj": {
367
+ "group_size": 64,
368
+ "bits": 8
369
+ },
370
+ "language_model.model.layers.25.mlp.up_proj": {
371
+ "group_size": 64,
372
+ "bits": 8
373
+ },
374
+ "language_model.model.layers.26.mlp.gate_proj": {
375
+ "group_size": 64,
376
+ "bits": 8
377
+ },
378
+ "language_model.model.layers.26.mlp.down_proj": {
379
+ "group_size": 64,
380
+ "bits": 8
381
+ },
382
+ "language_model.model.layers.26.mlp.up_proj": {
383
+ "group_size": 64,
384
+ "bits": 8
385
+ },
386
+ "language_model.model.layers.27.mlp.gate_proj": {
387
+ "group_size": 64,
388
+ "bits": 8
389
+ },
390
+ "language_model.model.layers.27.mlp.down_proj": {
391
+ "group_size": 64,
392
+ "bits": 8
393
+ },
394
+ "language_model.model.layers.27.mlp.up_proj": {
395
+ "group_size": 64,
396
+ "bits": 8
397
+ },
398
+ "language_model.model.layers.28.mlp.gate_proj": {
399
+ "group_size": 64,
400
+ "bits": 8
401
+ },
402
+ "language_model.model.layers.28.mlp.down_proj": {
403
+ "group_size": 64,
404
+ "bits": 8
405
+ },
406
+ "language_model.model.layers.28.mlp.up_proj": {
407
+ "group_size": 64,
408
+ "bits": 8
409
+ },
410
+ "language_model.model.layers.29.mlp.gate_proj": {
411
+ "group_size": 64,
412
+ "bits": 8
413
+ },
414
+ "language_model.model.layers.29.mlp.down_proj": {
415
+ "group_size": 64,
416
+ "bits": 8
417
+ },
418
+ "language_model.model.layers.29.mlp.up_proj": {
419
+ "group_size": 64,
420
+ "bits": 8
421
+ },
422
+ "language_model.model.layers.30.mlp.gate_proj": {
423
+ "group_size": 64,
424
+ "bits": 8
425
+ },
426
+ "language_model.model.layers.30.mlp.down_proj": {
427
+ "group_size": 64,
428
+ "bits": 8
429
+ },
430
+ "language_model.model.layers.30.mlp.up_proj": {
431
+ "group_size": 64,
432
+ "bits": 8
433
+ },
434
+ "language_model.model.layers.31.mlp.gate_proj": {
435
+ "group_size": 64,
436
+ "bits": 8
437
+ },
438
+ "language_model.model.layers.31.mlp.down_proj": {
439
+ "group_size": 64,
440
+ "bits": 8
441
+ },
442
+ "language_model.model.layers.31.mlp.up_proj": {
443
+ "group_size": 64,
444
+ "bits": 8
445
+ },
446
+ "language_model.model.layers.32.mlp.gate_proj": {
447
+ "group_size": 64,
448
+ "bits": 8
449
+ },
450
+ "language_model.model.layers.32.mlp.down_proj": {
451
+ "group_size": 64,
452
+ "bits": 8
453
+ },
454
+ "language_model.model.layers.32.mlp.up_proj": {
455
+ "group_size": 64,
456
+ "bits": 8
457
+ },
458
+ "language_model.model.layers.33.mlp.gate_proj": {
459
+ "group_size": 64,
460
+ "bits": 8
461
+ },
462
+ "language_model.model.layers.33.mlp.down_proj": {
463
+ "group_size": 64,
464
+ "bits": 8
465
+ },
466
+ "language_model.model.layers.33.mlp.up_proj": {
467
+ "group_size": 64,
468
+ "bits": 8
469
+ },
470
+ "language_model.model.layers.34.mlp.gate_proj": {
471
+ "group_size": 64,
472
+ "bits": 8
473
+ },
474
+ "language_model.model.layers.34.mlp.down_proj": {
475
+ "group_size": 64,
476
+ "bits": 8
477
+ },
478
+ "language_model.model.layers.34.mlp.up_proj": {
479
+ "group_size": 64,
480
+ "bits": 8
481
+ },
482
+ "language_model.model.layers.35.mlp.gate_proj": {
483
+ "group_size": 64,
484
+ "bits": 8
485
+ },
486
+ "language_model.model.layers.35.mlp.down_proj": {
487
+ "group_size": 64,
488
+ "bits": 8
489
+ },
490
+ "language_model.model.layers.35.mlp.up_proj": {
491
+ "group_size": 64,
492
+ "bits": 8
493
+ },
494
+ "language_model.model.layers.36.mlp.gate_proj": {
495
+ "group_size": 64,
496
+ "bits": 8
497
+ },
498
+ "language_model.model.layers.36.mlp.down_proj": {
499
+ "group_size": 64,
500
+ "bits": 8
501
+ },
502
+ "language_model.model.layers.36.mlp.up_proj": {
503
+ "group_size": 64,
504
+ "bits": 8
505
+ },
506
+ "language_model.model.layers.37.mlp.gate_proj": {
507
+ "group_size": 64,
508
+ "bits": 8
509
+ },
510
+ "language_model.model.layers.37.mlp.down_proj": {
511
+ "group_size": 64,
512
+ "bits": 8
513
+ },
514
+ "language_model.model.layers.37.mlp.up_proj": {
515
+ "group_size": 64,
516
+ "bits": 8
517
+ },
518
+ "language_model.model.layers.38.mlp.gate_proj": {
519
+ "group_size": 64,
520
+ "bits": 8
521
+ },
522
+ "language_model.model.layers.38.mlp.down_proj": {
523
+ "group_size": 64,
524
+ "bits": 8
525
+ },
526
+ "language_model.model.layers.38.mlp.up_proj": {
527
+ "group_size": 64,
528
+ "bits": 8
529
+ },
530
+ "language_model.model.layers.39.mlp.gate_proj": {
531
+ "group_size": 64,
532
+ "bits": 8
533
+ },
534
+ "language_model.model.layers.39.mlp.down_proj": {
535
+ "group_size": 64,
536
+ "bits": 8
537
+ },
538
+ "language_model.model.layers.39.mlp.up_proj": {
539
+ "group_size": 64,
540
+ "bits": 8
541
+ },
542
+ "language_model.model.layers.40.mlp.gate_proj": {
543
+ "group_size": 64,
544
+ "bits": 8
545
+ },
546
+ "language_model.model.layers.40.mlp.down_proj": {
547
+ "group_size": 64,
548
+ "bits": 8
549
+ },
550
+ "language_model.model.layers.40.mlp.up_proj": {
551
+ "group_size": 64,
552
+ "bits": 8
553
+ },
554
+ "language_model.model.layers.41.mlp.gate_proj": {
555
+ "group_size": 64,
556
+ "bits": 8
557
+ },
558
+ "language_model.model.layers.41.mlp.down_proj": {
559
+ "group_size": 64,
560
+ "bits": 8
561
+ },
562
+ "language_model.model.layers.41.mlp.up_proj": {
563
+ "group_size": 64,
564
+ "bits": 8
565
+ }
566
+ },
567
+ "quantization_config": {
568
+ "group_size": 32,
569
+ "bits": 8,
570
+ "mode": "affine",
571
+ "language_model.model.layers.0.mlp.gate_proj": {
572
+ "group_size": 64,
573
+ "bits": 8
574
+ },
575
+ "language_model.model.layers.0.mlp.down_proj": {
576
+ "group_size": 64,
577
+ "bits": 8
578
+ },
579
+ "language_model.model.layers.0.mlp.up_proj": {
580
+ "group_size": 64,
581
+ "bits": 8
582
+ },
583
+ "language_model.model.layers.1.mlp.gate_proj": {
584
+ "group_size": 64,
585
+ "bits": 8
586
+ },
587
+ "language_model.model.layers.1.mlp.down_proj": {
588
+ "group_size": 64,
589
+ "bits": 8
590
+ },
591
+ "language_model.model.layers.1.mlp.up_proj": {
592
+ "group_size": 64,
593
+ "bits": 8
594
+ },
595
+ "language_model.model.layers.2.mlp.gate_proj": {
596
+ "group_size": 64,
597
+ "bits": 8
598
+ },
599
+ "language_model.model.layers.2.mlp.down_proj": {
600
+ "group_size": 64,
601
+ "bits": 8
602
+ },
603
+ "language_model.model.layers.2.mlp.up_proj": {
604
+ "group_size": 64,
605
+ "bits": 8
606
+ },
607
+ "language_model.model.layers.3.mlp.gate_proj": {
608
+ "group_size": 64,
609
+ "bits": 8
610
+ },
611
+ "language_model.model.layers.3.mlp.down_proj": {
612
+ "group_size": 64,
613
+ "bits": 8
614
+ },
615
+ "language_model.model.layers.3.mlp.up_proj": {
616
+ "group_size": 64,
617
+ "bits": 8
618
+ },
619
+ "language_model.model.layers.4.mlp.gate_proj": {
620
+ "group_size": 64,
621
+ "bits": 8
622
+ },
623
+ "language_model.model.layers.4.mlp.down_proj": {
624
+ "group_size": 64,
625
+ "bits": 8
626
+ },
627
+ "language_model.model.layers.4.mlp.up_proj": {
628
+ "group_size": 64,
629
+ "bits": 8
630
+ },
631
+ "language_model.model.layers.5.mlp.gate_proj": {
632
+ "group_size": 64,
633
+ "bits": 8
634
+ },
635
+ "language_model.model.layers.5.mlp.down_proj": {
636
+ "group_size": 64,
637
+ "bits": 8
638
+ },
639
+ "language_model.model.layers.5.mlp.up_proj": {
640
+ "group_size": 64,
641
+ "bits": 8
642
+ },
643
+ "language_model.model.layers.6.mlp.gate_proj": {
644
+ "group_size": 64,
645
+ "bits": 8
646
+ },
647
+ "language_model.model.layers.6.mlp.down_proj": {
648
+ "group_size": 64,
649
+ "bits": 8
650
+ },
651
+ "language_model.model.layers.6.mlp.up_proj": {
652
+ "group_size": 64,
653
+ "bits": 8
654
+ },
655
+ "language_model.model.layers.7.mlp.gate_proj": {
656
+ "group_size": 64,
657
+ "bits": 8
658
+ },
659
+ "language_model.model.layers.7.mlp.down_proj": {
660
+ "group_size": 64,
661
+ "bits": 8
662
+ },
663
+ "language_model.model.layers.7.mlp.up_proj": {
664
+ "group_size": 64,
665
+ "bits": 8
666
+ },
667
+ "language_model.model.layers.8.mlp.gate_proj": {
668
+ "group_size": 64,
669
+ "bits": 8
670
+ },
671
+ "language_model.model.layers.8.mlp.down_proj": {
672
+ "group_size": 64,
673
+ "bits": 8
674
+ },
675
+ "language_model.model.layers.8.mlp.up_proj": {
676
+ "group_size": 64,
677
+ "bits": 8
678
+ },
679
+ "language_model.model.layers.9.mlp.gate_proj": {
680
+ "group_size": 64,
681
+ "bits": 8
682
+ },
683
+ "language_model.model.layers.9.mlp.down_proj": {
684
+ "group_size": 64,
685
+ "bits": 8
686
+ },
687
+ "language_model.model.layers.9.mlp.up_proj": {
688
+ "group_size": 64,
689
+ "bits": 8
690
+ },
691
+ "language_model.model.layers.10.mlp.gate_proj": {
692
+ "group_size": 64,
693
+ "bits": 8
694
+ },
695
+ "language_model.model.layers.10.mlp.down_proj": {
696
+ "group_size": 64,
697
+ "bits": 8
698
+ },
699
+ "language_model.model.layers.10.mlp.up_proj": {
700
+ "group_size": 64,
701
+ "bits": 8
702
+ },
703
+ "language_model.model.layers.11.mlp.gate_proj": {
704
+ "group_size": 64,
705
+ "bits": 8
706
+ },
707
+ "language_model.model.layers.11.mlp.down_proj": {
708
+ "group_size": 64,
709
+ "bits": 8
710
+ },
711
+ "language_model.model.layers.11.mlp.up_proj": {
712
+ "group_size": 64,
713
+ "bits": 8
714
+ },
715
+ "language_model.model.layers.12.mlp.gate_proj": {
716
+ "group_size": 64,
717
+ "bits": 8
718
+ },
719
+ "language_model.model.layers.12.mlp.down_proj": {
720
+ "group_size": 64,
721
+ "bits": 8
722
+ },
723
+ "language_model.model.layers.12.mlp.up_proj": {
724
+ "group_size": 64,
725
+ "bits": 8
726
+ },
727
+ "language_model.model.layers.13.mlp.gate_proj": {
728
+ "group_size": 64,
729
+ "bits": 8
730
+ },
731
+ "language_model.model.layers.13.mlp.down_proj": {
732
+ "group_size": 64,
733
+ "bits": 8
734
+ },
735
+ "language_model.model.layers.13.mlp.up_proj": {
736
+ "group_size": 64,
737
+ "bits": 8
738
+ },
739
+ "language_model.model.layers.14.mlp.gate_proj": {
740
+ "group_size": 64,
741
+ "bits": 8
742
+ },
743
+ "language_model.model.layers.14.mlp.down_proj": {
744
+ "group_size": 64,
745
+ "bits": 8
746
+ },
747
+ "language_model.model.layers.14.mlp.up_proj": {
748
+ "group_size": 64,
749
+ "bits": 8
750
+ },
751
+ "language_model.model.layers.15.mlp.gate_proj": {
752
+ "group_size": 64,
753
+ "bits": 8
754
+ },
755
+ "language_model.model.layers.15.mlp.down_proj": {
756
+ "group_size": 64,
757
+ "bits": 8
758
+ },
759
+ "language_model.model.layers.15.mlp.up_proj": {
760
+ "group_size": 64,
761
+ "bits": 8
762
+ },
763
+ "language_model.model.layers.16.mlp.gate_proj": {
764
+ "group_size": 64,
765
+ "bits": 8
766
+ },
767
+ "language_model.model.layers.16.mlp.down_proj": {
768
+ "group_size": 64,
769
+ "bits": 8
770
+ },
771
+ "language_model.model.layers.16.mlp.up_proj": {
772
+ "group_size": 64,
773
+ "bits": 8
774
+ },
775
+ "language_model.model.layers.17.mlp.gate_proj": {
776
+ "group_size": 64,
777
+ "bits": 8
778
+ },
779
+ "language_model.model.layers.17.mlp.down_proj": {
780
+ "group_size": 64,
781
+ "bits": 8
782
+ },
783
+ "language_model.model.layers.17.mlp.up_proj": {
784
+ "group_size": 64,
785
+ "bits": 8
786
+ },
787
+ "language_model.model.layers.18.mlp.gate_proj": {
788
+ "group_size": 64,
789
+ "bits": 8
790
+ },
791
+ "language_model.model.layers.18.mlp.down_proj": {
792
+ "group_size": 64,
793
+ "bits": 8
794
+ },
795
+ "language_model.model.layers.18.mlp.up_proj": {
796
+ "group_size": 64,
797
+ "bits": 8
798
+ },
799
+ "language_model.model.layers.19.mlp.gate_proj": {
800
+ "group_size": 64,
801
+ "bits": 8
802
+ },
803
+ "language_model.model.layers.19.mlp.down_proj": {
804
+ "group_size": 64,
805
+ "bits": 8
806
+ },
807
+ "language_model.model.layers.19.mlp.up_proj": {
808
+ "group_size": 64,
809
+ "bits": 8
810
+ },
811
+ "language_model.model.layers.20.mlp.gate_proj": {
812
+ "group_size": 64,
813
+ "bits": 8
814
+ },
815
+ "language_model.model.layers.20.mlp.down_proj": {
816
+ "group_size": 64,
817
+ "bits": 8
818
+ },
819
+ "language_model.model.layers.20.mlp.up_proj": {
820
+ "group_size": 64,
821
+ "bits": 8
822
+ },
823
+ "language_model.model.layers.21.mlp.gate_proj": {
824
+ "group_size": 64,
825
+ "bits": 8
826
+ },
827
+ "language_model.model.layers.21.mlp.down_proj": {
828
+ "group_size": 64,
829
+ "bits": 8
830
+ },
831
+ "language_model.model.layers.21.mlp.up_proj": {
832
+ "group_size": 64,
833
+ "bits": 8
834
+ },
835
+ "language_model.model.layers.22.mlp.gate_proj": {
836
+ "group_size": 64,
837
+ "bits": 8
838
+ },
839
+ "language_model.model.layers.22.mlp.down_proj": {
840
+ "group_size": 64,
841
+ "bits": 8
842
+ },
843
+ "language_model.model.layers.22.mlp.up_proj": {
844
+ "group_size": 64,
845
+ "bits": 8
846
+ },
847
+ "language_model.model.layers.23.mlp.gate_proj": {
848
+ "group_size": 64,
849
+ "bits": 8
850
+ },
851
+ "language_model.model.layers.23.mlp.down_proj": {
852
+ "group_size": 64,
853
+ "bits": 8
854
+ },
855
+ "language_model.model.layers.23.mlp.up_proj": {
856
+ "group_size": 64,
857
+ "bits": 8
858
+ },
859
+ "language_model.model.layers.24.mlp.gate_proj": {
860
+ "group_size": 64,
861
+ "bits": 8
862
+ },
863
+ "language_model.model.layers.24.mlp.down_proj": {
864
+ "group_size": 64,
865
+ "bits": 8
866
+ },
867
+ "language_model.model.layers.24.mlp.up_proj": {
868
+ "group_size": 64,
869
+ "bits": 8
870
+ },
871
+ "language_model.model.layers.25.mlp.gate_proj": {
872
+ "group_size": 64,
873
+ "bits": 8
874
+ },
875
+ "language_model.model.layers.25.mlp.down_proj": {
876
+ "group_size": 64,
877
+ "bits": 8
878
+ },
879
+ "language_model.model.layers.25.mlp.up_proj": {
880
+ "group_size": 64,
881
+ "bits": 8
882
+ },
883
+ "language_model.model.layers.26.mlp.gate_proj": {
884
+ "group_size": 64,
885
+ "bits": 8
886
+ },
887
+ "language_model.model.layers.26.mlp.down_proj": {
888
+ "group_size": 64,
889
+ "bits": 8
890
+ },
891
+ "language_model.model.layers.26.mlp.up_proj": {
892
+ "group_size": 64,
893
+ "bits": 8
894
+ },
895
+ "language_model.model.layers.27.mlp.gate_proj": {
896
+ "group_size": 64,
897
+ "bits": 8
898
+ },
899
+ "language_model.model.layers.27.mlp.down_proj": {
900
+ "group_size": 64,
901
+ "bits": 8
902
+ },
903
+ "language_model.model.layers.27.mlp.up_proj": {
904
+ "group_size": 64,
905
+ "bits": 8
906
+ },
907
+ "language_model.model.layers.28.mlp.gate_proj": {
908
+ "group_size": 64,
909
+ "bits": 8
910
+ },
911
+ "language_model.model.layers.28.mlp.down_proj": {
912
+ "group_size": 64,
913
+ "bits": 8
914
+ },
915
+ "language_model.model.layers.28.mlp.up_proj": {
916
+ "group_size": 64,
917
+ "bits": 8
918
+ },
919
+ "language_model.model.layers.29.mlp.gate_proj": {
920
+ "group_size": 64,
921
+ "bits": 8
922
+ },
923
+ "language_model.model.layers.29.mlp.down_proj": {
924
+ "group_size": 64,
925
+ "bits": 8
926
+ },
927
+ "language_model.model.layers.29.mlp.up_proj": {
928
+ "group_size": 64,
929
+ "bits": 8
930
+ },
931
+ "language_model.model.layers.30.mlp.gate_proj": {
932
+ "group_size": 64,
933
+ "bits": 8
934
+ },
935
+ "language_model.model.layers.30.mlp.down_proj": {
936
+ "group_size": 64,
937
+ "bits": 8
938
+ },
939
+ "language_model.model.layers.30.mlp.up_proj": {
940
+ "group_size": 64,
941
+ "bits": 8
942
+ },
943
+ "language_model.model.layers.31.mlp.gate_proj": {
944
+ "group_size": 64,
945
+ "bits": 8
946
+ },
947
+ "language_model.model.layers.31.mlp.down_proj": {
948
+ "group_size": 64,
949
+ "bits": 8
950
+ },
951
+ "language_model.model.layers.31.mlp.up_proj": {
952
+ "group_size": 64,
953
+ "bits": 8
954
+ },
955
+ "language_model.model.layers.32.mlp.gate_proj": {
956
+ "group_size": 64,
957
+ "bits": 8
958
+ },
959
+ "language_model.model.layers.32.mlp.down_proj": {
960
+ "group_size": 64,
961
+ "bits": 8
962
+ },
963
+ "language_model.model.layers.32.mlp.up_proj": {
964
+ "group_size": 64,
965
+ "bits": 8
966
+ },
967
+ "language_model.model.layers.33.mlp.gate_proj": {
968
+ "group_size": 64,
969
+ "bits": 8
970
+ },
971
+ "language_model.model.layers.33.mlp.down_proj": {
972
+ "group_size": 64,
973
+ "bits": 8
974
+ },
975
+ "language_model.model.layers.33.mlp.up_proj": {
976
+ "group_size": 64,
977
+ "bits": 8
978
+ },
979
+ "language_model.model.layers.34.mlp.gate_proj": {
980
+ "group_size": 64,
981
+ "bits": 8
982
+ },
983
+ "language_model.model.layers.34.mlp.down_proj": {
984
+ "group_size": 64,
985
+ "bits": 8
986
+ },
987
+ "language_model.model.layers.34.mlp.up_proj": {
988
+ "group_size": 64,
989
+ "bits": 8
990
+ },
991
+ "language_model.model.layers.35.mlp.gate_proj": {
992
+ "group_size": 64,
993
+ "bits": 8
994
+ },
995
+ "language_model.model.layers.35.mlp.down_proj": {
996
+ "group_size": 64,
997
+ "bits": 8
998
+ },
999
+ "language_model.model.layers.35.mlp.up_proj": {
1000
+ "group_size": 64,
1001
+ "bits": 8
1002
+ },
1003
+ "language_model.model.layers.36.mlp.gate_proj": {
1004
+ "group_size": 64,
1005
+ "bits": 8
1006
+ },
1007
+ "language_model.model.layers.36.mlp.down_proj": {
1008
+ "group_size": 64,
1009
+ "bits": 8
1010
+ },
1011
+ "language_model.model.layers.36.mlp.up_proj": {
1012
+ "group_size": 64,
1013
+ "bits": 8
1014
+ },
1015
+ "language_model.model.layers.37.mlp.gate_proj": {
1016
+ "group_size": 64,
1017
+ "bits": 8
1018
+ },
1019
+ "language_model.model.layers.37.mlp.down_proj": {
1020
+ "group_size": 64,
1021
+ "bits": 8
1022
+ },
1023
+ "language_model.model.layers.37.mlp.up_proj": {
1024
+ "group_size": 64,
1025
+ "bits": 8
1026
+ },
1027
+ "language_model.model.layers.38.mlp.gate_proj": {
1028
+ "group_size": 64,
1029
+ "bits": 8
1030
+ },
1031
+ "language_model.model.layers.38.mlp.down_proj": {
1032
+ "group_size": 64,
1033
+ "bits": 8
1034
+ },
1035
+ "language_model.model.layers.38.mlp.up_proj": {
1036
+ "group_size": 64,
1037
+ "bits": 8
1038
+ },
1039
+ "language_model.model.layers.39.mlp.gate_proj": {
1040
+ "group_size": 64,
1041
+ "bits": 8
1042
+ },
1043
+ "language_model.model.layers.39.mlp.down_proj": {
1044
+ "group_size": 64,
1045
+ "bits": 8
1046
+ },
1047
+ "language_model.model.layers.39.mlp.up_proj": {
1048
+ "group_size": 64,
1049
+ "bits": 8
1050
+ },
1051
+ "language_model.model.layers.40.mlp.gate_proj": {
1052
+ "group_size": 64,
1053
+ "bits": 8
1054
+ },
1055
+ "language_model.model.layers.40.mlp.down_proj": {
1056
+ "group_size": 64,
1057
+ "bits": 8
1058
+ },
1059
+ "language_model.model.layers.40.mlp.up_proj": {
1060
+ "group_size": 64,
1061
+ "bits": 8
1062
+ },
1063
+ "language_model.model.layers.41.mlp.gate_proj": {
1064
+ "group_size": 64,
1065
+ "bits": 8
1066
+ },
1067
+ "language_model.model.layers.41.mlp.down_proj": {
1068
+ "group_size": 64,
1069
+ "bits": 8
1070
+ },
1071
+ "language_model.model.layers.41.mlp.up_proj": {
1072
+ "group_size": 64,
1073
+ "bits": 8
1074
+ }
1075
+ },
1076
+ "text_config": {
1077
+ "attention_bias": false,
1078
+ "attention_dropout": 0.0,
1079
+ "attention_k_eq_v": false,
1080
+ "bos_token_id": 2,
1081
+ "torch_dtype": "bfloat16",
1082
+ "enable_moe_block": false,
1083
+ "eos_token_id": 1,
1084
+ "expert_intermediate_size": null,
1085
+ "final_logit_softcapping": 30.0,
1086
+ "global_head_dim": 512,
1087
+ "head_dim": 256,
1088
+ "hidden_activation": "gelu_pytorch_tanh",
1089
+ "hidden_size": 2560,
1090
+ "hidden_size_per_layer_input": 256,
1091
+ "initializer_range": 0.02,
1092
+ "intermediate_size": 10240,
1093
+ "layer_types": [
1094
+ "sliding_attention",
1095
+ "sliding_attention",
1096
+ "sliding_attention",
1097
+ "sliding_attention",
1098
+ "sliding_attention",
1099
+ "full_attention",
1100
+ "sliding_attention",
1101
+ "sliding_attention",
1102
+ "sliding_attention",
1103
+ "sliding_attention",
1104
+ "sliding_attention",
1105
+ "full_attention",
1106
+ "sliding_attention",
1107
+ "sliding_attention",
1108
+ "sliding_attention",
1109
+ "sliding_attention",
1110
+ "sliding_attention",
1111
+ "full_attention",
1112
+ "sliding_attention",
1113
+ "sliding_attention",
1114
+ "sliding_attention",
1115
+ "sliding_attention",
1116
+ "sliding_attention",
1117
+ "full_attention",
1118
+ "sliding_attention",
1119
+ "sliding_attention",
1120
+ "sliding_attention",
1121
+ "sliding_attention",
1122
+ "sliding_attention",
1123
+ "full_attention",
1124
+ "sliding_attention",
1125
+ "sliding_attention",
1126
+ "sliding_attention",
1127
+ "sliding_attention",
1128
+ "sliding_attention",
1129
+ "full_attention",
1130
+ "sliding_attention",
1131
+ "sliding_attention",
1132
+ "sliding_attention",
1133
+ "sliding_attention",
1134
+ "sliding_attention",
1135
+ "full_attention"
1136
+ ],
1137
+ "max_position_embeddings": 131072,
1138
+ "model_type": "gemma4_text",
1139
+ "moe_intermediate_size": null,
1140
+ "num_attention_heads": 8,
1141
+ "num_experts": null,
1142
+ "num_global_key_value_heads": null,
1143
+ "num_hidden_layers": 42,
1144
+ "num_key_value_heads": 2,
1145
+ "num_kv_shared_layers": 18,
1146
+ "pad_token_id": 0,
1147
+ "rms_norm_eps": 1e-06,
1148
+ "rope_parameters": {
1149
+ "full_attention": {
1150
+ "partial_rotary_factor": 0.25,
1151
+ "rope_theta": 1000000.0,
1152
+ "rope_type": "proportional"
1153
+ },
1154
+ "sliding_attention": {
1155
+ "rope_theta": 10000.0,
1156
+ "rope_type": "default"
1157
+ }
1158
+ },
1159
+ "sliding_window": 512,
1160
+ "tie_word_embeddings": true,
1161
+ "top_k_experts": null,
1162
+ "use_bidirectional_attention": null,
1163
+ "use_cache": true,
1164
+ "use_double_wide_mlp": false,
1165
+ "vocab_size": 262144,
1166
+ "vocab_size_per_layer_input": 262144
1167
+ },
1168
+ "tie_word_embeddings": true,
1169
+ "unsloth_fixed": true,
1170
+ "unsloth_version": "2026.4.4",
1171
+ "use_cache": false,
1172
+ "video_token_id": 258884,
1173
+ "vision_config": {
1174
+ "_name_or_path": "",
1175
+ "architectures": null,
1176
+ "attention_bias": false,
1177
+ "attention_dropout": 0.0,
1178
+ "chunk_size_feed_forward": 0,
1179
+ "default_output_length": 280,
1180
+ "torch_dtype": "bfloat16",
1181
+ "global_head_dim": 64,
1182
+ "head_dim": 64,
1183
+ "hidden_activation": "gelu_pytorch_tanh",
1184
+ "hidden_size": 768,
1185
+ "id2label": {
1186
+ "0": "LABEL_0",
1187
+ "1": "LABEL_1"
1188
+ },
1189
+ "initializer_range": 0.02,
1190
+ "intermediate_size": 3072,
1191
+ "is_encoder_decoder": false,
1192
+ "label2id": {
1193
+ "LABEL_0": 0,
1194
+ "LABEL_1": 1
1195
+ },
1196
+ "max_position_embeddings": 131072,
1197
+ "model_type": "gemma4_vision",
1198
+ "num_attention_heads": 12,
1199
+ "num_hidden_layers": 16,
1200
+ "num_key_value_heads": 12,
1201
+ "output_attentions": false,
1202
+ "output_hidden_states": false,
1203
+ "patch_size": 16,
1204
+ "pooling_kernel_size": 3,
1205
+ "position_embedding_size": 10240,
1206
+ "problem_type": null,
1207
+ "return_dict": true,
1208
+ "rms_norm_eps": 1e-06,
1209
+ "rope_parameters": {
1210
+ "rope_theta": 100.0,
1211
+ "rope_type": "default"
1212
+ },
1213
+ "standardize": false,
1214
+ "use_clipped_linears": true
1215
+ },
1216
+ "vision_soft_tokens_per_image": 280
1217
+ }
model-00001-of-00002.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:034dd756e959ea8fc2977b9036d99f3d47cf60b5832dc5620c7ce45a52aef4a2
3
+ size 5050215234
model-00002-of-00002.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:076eacccf573fbc85ab38f169da26d7956c3704d79d30a2cc9f35feec6da17b4
3
+ size 4177137984
model.safetensors.index.json ADDED
The diff for this file is too large to render. See raw diff
 
processor_config.json ADDED
@@ -0,0 +1,42 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "audio_seq_length": 750,
3
+ "image_processor": {
4
+ "do_convert_rgb": true,
5
+ "do_normalize": false,
6
+ "do_rescale": true,
7
+ "do_resize": true,
8
+ "image_mean": [
9
+ 0.0,
10
+ 0.0,
11
+ 0.0
12
+ ],
13
+ "image_processor_type": "Gemma4ImageProcessor",
14
+ "image_seq_length": 280,
15
+ "image_std": [
16
+ 1.0,
17
+ 1.0,
18
+ 1.0
19
+ ],
20
+ "max_soft_tokens": 280,
21
+ "patch_size": 16,
22
+ "pooling_kernel_size": 3,
23
+ "resample": 3,
24
+ "rescale_factor": 0.00392156862745098,
25
+ "size": {
26
+ "height": 224,
27
+ "width": 224
28
+ }
29
+ },
30
+ "image_seq_length": 280,
31
+ "processor_class": "Gemma4Processor",
32
+ "feature_extractor": {
33
+ "feature_extractor_type": "Gemma4AudioFeatureExtractor",
34
+ "sampling_rate": 16000,
35
+ "num_mel_filters": 128,
36
+ "fft_length": 512,
37
+ "hop_length": 160,
38
+ "chunk_duration": 8.0,
39
+ "overlap_duration": 1.0
40
+ },
41
+ "audio_ms_per_token": 40
42
+ }
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": "<turn|>",
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": 131072,
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": "right",
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
+ }