awni commited on
Commit
699f19f
·
verified ·
1 Parent(s): c229cf2

Add files using upload-large-folder tool

Browse files
README.md CHANGED
@@ -3,16 +3,16 @@ library_name: mlx
3
  license: apache-2.0
4
  license_link: https://huggingface.co/Qwen/Qwen3-30B-A3B-Thinking-2507/blob/main/LICENSE
5
  pipeline_tag: text-generation
6
- base_model: Qwen/Qwen3-30B-A3B-Thinking-2507
7
  tags:
8
  - mlx
 
9
  ---
10
 
11
  # mlx-community/Qwen3-30B-A3B-Thinking-2507-4bit
12
 
13
  This model [mlx-community/Qwen3-30B-A3B-Thinking-2507-4bit](https://huggingface.co/mlx-community/Qwen3-30B-A3B-Thinking-2507-4bit) was
14
  converted to MLX format from [Qwen/Qwen3-30B-A3B-Thinking-2507](https://huggingface.co/Qwen/Qwen3-30B-A3B-Thinking-2507)
15
- using mlx-lm version **0.26.0**.
16
 
17
  ## Use with mlx
18
 
 
3
  license: apache-2.0
4
  license_link: https://huggingface.co/Qwen/Qwen3-30B-A3B-Thinking-2507/blob/main/LICENSE
5
  pipeline_tag: text-generation
 
6
  tags:
7
  - mlx
8
+ base_model: Qwen/Qwen3-30B-A3B-Thinking-2507
9
  ---
10
 
11
  # mlx-community/Qwen3-30B-A3B-Thinking-2507-4bit
12
 
13
  This model [mlx-community/Qwen3-30B-A3B-Thinking-2507-4bit](https://huggingface.co/mlx-community/Qwen3-30B-A3B-Thinking-2507-4bit) was
14
  converted to MLX format from [Qwen/Qwen3-30B-A3B-Thinking-2507](https://huggingface.co/Qwen/Qwen3-30B-A3B-Thinking-2507)
15
+ using mlx-lm version **0.26.3**.
16
 
17
  ## Use with mlx
18
 
config.json CHANGED
@@ -26,11 +26,397 @@
26
  "output_router_logits": false,
27
  "quantization": {
28
  "group_size": 64,
29
- "bits": 4
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
30
  },
31
  "quantization_config": {
32
  "group_size": 64,
33
- "bits": 4
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
34
  },
35
  "rms_norm_eps": 1e-06,
36
  "rope_scaling": null,
 
26
  "output_router_logits": false,
27
  "quantization": {
28
  "group_size": 64,
29
+ "bits": 4,
30
+ "mode": "affine",
31
+ "model.layers.0.mlp.gate": {
32
+ "group_size": 64,
33
+ "bits": 8
34
+ },
35
+ "model.layers.1.mlp.gate": {
36
+ "group_size": 64,
37
+ "bits": 8
38
+ },
39
+ "model.layers.2.mlp.gate": {
40
+ "group_size": 64,
41
+ "bits": 8
42
+ },
43
+ "model.layers.3.mlp.gate": {
44
+ "group_size": 64,
45
+ "bits": 8
46
+ },
47
+ "model.layers.4.mlp.gate": {
48
+ "group_size": 64,
49
+ "bits": 8
50
+ },
51
+ "model.layers.5.mlp.gate": {
52
+ "group_size": 64,
53
+ "bits": 8
54
+ },
55
+ "model.layers.6.mlp.gate": {
56
+ "group_size": 64,
57
+ "bits": 8
58
+ },
59
+ "model.layers.7.mlp.gate": {
60
+ "group_size": 64,
61
+ "bits": 8
62
+ },
63
+ "model.layers.8.mlp.gate": {
64
+ "group_size": 64,
65
+ "bits": 8
66
+ },
67
+ "model.layers.9.mlp.gate": {
68
+ "group_size": 64,
69
+ "bits": 8
70
+ },
71
+ "model.layers.10.mlp.gate": {
72
+ "group_size": 64,
73
+ "bits": 8
74
+ },
75
+ "model.layers.11.mlp.gate": {
76
+ "group_size": 64,
77
+ "bits": 8
78
+ },
79
+ "model.layers.12.mlp.gate": {
80
+ "group_size": 64,
81
+ "bits": 8
82
+ },
83
+ "model.layers.13.mlp.gate": {
84
+ "group_size": 64,
85
+ "bits": 8
86
+ },
87
+ "model.layers.14.mlp.gate": {
88
+ "group_size": 64,
89
+ "bits": 8
90
+ },
91
+ "model.layers.15.mlp.gate": {
92
+ "group_size": 64,
93
+ "bits": 8
94
+ },
95
+ "model.layers.16.mlp.gate": {
96
+ "group_size": 64,
97
+ "bits": 8
98
+ },
99
+ "model.layers.17.mlp.gate": {
100
+ "group_size": 64,
101
+ "bits": 8
102
+ },
103
+ "model.layers.18.mlp.gate": {
104
+ "group_size": 64,
105
+ "bits": 8
106
+ },
107
+ "model.layers.19.mlp.gate": {
108
+ "group_size": 64,
109
+ "bits": 8
110
+ },
111
+ "model.layers.20.mlp.gate": {
112
+ "group_size": 64,
113
+ "bits": 8
114
+ },
115
+ "model.layers.21.mlp.gate": {
116
+ "group_size": 64,
117
+ "bits": 8
118
+ },
119
+ "model.layers.22.mlp.gate": {
120
+ "group_size": 64,
121
+ "bits": 8
122
+ },
123
+ "model.layers.23.mlp.gate": {
124
+ "group_size": 64,
125
+ "bits": 8
126
+ },
127
+ "model.layers.24.mlp.gate": {
128
+ "group_size": 64,
129
+ "bits": 8
130
+ },
131
+ "model.layers.25.mlp.gate": {
132
+ "group_size": 64,
133
+ "bits": 8
134
+ },
135
+ "model.layers.26.mlp.gate": {
136
+ "group_size": 64,
137
+ "bits": 8
138
+ },
139
+ "model.layers.27.mlp.gate": {
140
+ "group_size": 64,
141
+ "bits": 8
142
+ },
143
+ "model.layers.28.mlp.gate": {
144
+ "group_size": 64,
145
+ "bits": 8
146
+ },
147
+ "model.layers.29.mlp.gate": {
148
+ "group_size": 64,
149
+ "bits": 8
150
+ },
151
+ "model.layers.30.mlp.gate": {
152
+ "group_size": 64,
153
+ "bits": 8
154
+ },
155
+ "model.layers.31.mlp.gate": {
156
+ "group_size": 64,
157
+ "bits": 8
158
+ },
159
+ "model.layers.32.mlp.gate": {
160
+ "group_size": 64,
161
+ "bits": 8
162
+ },
163
+ "model.layers.33.mlp.gate": {
164
+ "group_size": 64,
165
+ "bits": 8
166
+ },
167
+ "model.layers.34.mlp.gate": {
168
+ "group_size": 64,
169
+ "bits": 8
170
+ },
171
+ "model.layers.35.mlp.gate": {
172
+ "group_size": 64,
173
+ "bits": 8
174
+ },
175
+ "model.layers.36.mlp.gate": {
176
+ "group_size": 64,
177
+ "bits": 8
178
+ },
179
+ "model.layers.37.mlp.gate": {
180
+ "group_size": 64,
181
+ "bits": 8
182
+ },
183
+ "model.layers.38.mlp.gate": {
184
+ "group_size": 64,
185
+ "bits": 8
186
+ },
187
+ "model.layers.39.mlp.gate": {
188
+ "group_size": 64,
189
+ "bits": 8
190
+ },
191
+ "model.layers.40.mlp.gate": {
192
+ "group_size": 64,
193
+ "bits": 8
194
+ },
195
+ "model.layers.41.mlp.gate": {
196
+ "group_size": 64,
197
+ "bits": 8
198
+ },
199
+ "model.layers.42.mlp.gate": {
200
+ "group_size": 64,
201
+ "bits": 8
202
+ },
203
+ "model.layers.43.mlp.gate": {
204
+ "group_size": 64,
205
+ "bits": 8
206
+ },
207
+ "model.layers.44.mlp.gate": {
208
+ "group_size": 64,
209
+ "bits": 8
210
+ },
211
+ "model.layers.45.mlp.gate": {
212
+ "group_size": 64,
213
+ "bits": 8
214
+ },
215
+ "model.layers.46.mlp.gate": {
216
+ "group_size": 64,
217
+ "bits": 8
218
+ },
219
+ "model.layers.47.mlp.gate": {
220
+ "group_size": 64,
221
+ "bits": 8
222
+ }
223
  },
224
  "quantization_config": {
225
  "group_size": 64,
226
+ "bits": 4,
227
+ "mode": "affine",
228
+ "model.layers.0.mlp.gate": {
229
+ "group_size": 64,
230
+ "bits": 8
231
+ },
232
+ "model.layers.1.mlp.gate": {
233
+ "group_size": 64,
234
+ "bits": 8
235
+ },
236
+ "model.layers.2.mlp.gate": {
237
+ "group_size": 64,
238
+ "bits": 8
239
+ },
240
+ "model.layers.3.mlp.gate": {
241
+ "group_size": 64,
242
+ "bits": 8
243
+ },
244
+ "model.layers.4.mlp.gate": {
245
+ "group_size": 64,
246
+ "bits": 8
247
+ },
248
+ "model.layers.5.mlp.gate": {
249
+ "group_size": 64,
250
+ "bits": 8
251
+ },
252
+ "model.layers.6.mlp.gate": {
253
+ "group_size": 64,
254
+ "bits": 8
255
+ },
256
+ "model.layers.7.mlp.gate": {
257
+ "group_size": 64,
258
+ "bits": 8
259
+ },
260
+ "model.layers.8.mlp.gate": {
261
+ "group_size": 64,
262
+ "bits": 8
263
+ },
264
+ "model.layers.9.mlp.gate": {
265
+ "group_size": 64,
266
+ "bits": 8
267
+ },
268
+ "model.layers.10.mlp.gate": {
269
+ "group_size": 64,
270
+ "bits": 8
271
+ },
272
+ "model.layers.11.mlp.gate": {
273
+ "group_size": 64,
274
+ "bits": 8
275
+ },
276
+ "model.layers.12.mlp.gate": {
277
+ "group_size": 64,
278
+ "bits": 8
279
+ },
280
+ "model.layers.13.mlp.gate": {
281
+ "group_size": 64,
282
+ "bits": 8
283
+ },
284
+ "model.layers.14.mlp.gate": {
285
+ "group_size": 64,
286
+ "bits": 8
287
+ },
288
+ "model.layers.15.mlp.gate": {
289
+ "group_size": 64,
290
+ "bits": 8
291
+ },
292
+ "model.layers.16.mlp.gate": {
293
+ "group_size": 64,
294
+ "bits": 8
295
+ },
296
+ "model.layers.17.mlp.gate": {
297
+ "group_size": 64,
298
+ "bits": 8
299
+ },
300
+ "model.layers.18.mlp.gate": {
301
+ "group_size": 64,
302
+ "bits": 8
303
+ },
304
+ "model.layers.19.mlp.gate": {
305
+ "group_size": 64,
306
+ "bits": 8
307
+ },
308
+ "model.layers.20.mlp.gate": {
309
+ "group_size": 64,
310
+ "bits": 8
311
+ },
312
+ "model.layers.21.mlp.gate": {
313
+ "group_size": 64,
314
+ "bits": 8
315
+ },
316
+ "model.layers.22.mlp.gate": {
317
+ "group_size": 64,
318
+ "bits": 8
319
+ },
320
+ "model.layers.23.mlp.gate": {
321
+ "group_size": 64,
322
+ "bits": 8
323
+ },
324
+ "model.layers.24.mlp.gate": {
325
+ "group_size": 64,
326
+ "bits": 8
327
+ },
328
+ "model.layers.25.mlp.gate": {
329
+ "group_size": 64,
330
+ "bits": 8
331
+ },
332
+ "model.layers.26.mlp.gate": {
333
+ "group_size": 64,
334
+ "bits": 8
335
+ },
336
+ "model.layers.27.mlp.gate": {
337
+ "group_size": 64,
338
+ "bits": 8
339
+ },
340
+ "model.layers.28.mlp.gate": {
341
+ "group_size": 64,
342
+ "bits": 8
343
+ },
344
+ "model.layers.29.mlp.gate": {
345
+ "group_size": 64,
346
+ "bits": 8
347
+ },
348
+ "model.layers.30.mlp.gate": {
349
+ "group_size": 64,
350
+ "bits": 8
351
+ },
352
+ "model.layers.31.mlp.gate": {
353
+ "group_size": 64,
354
+ "bits": 8
355
+ },
356
+ "model.layers.32.mlp.gate": {
357
+ "group_size": 64,
358
+ "bits": 8
359
+ },
360
+ "model.layers.33.mlp.gate": {
361
+ "group_size": 64,
362
+ "bits": 8
363
+ },
364
+ "model.layers.34.mlp.gate": {
365
+ "group_size": 64,
366
+ "bits": 8
367
+ },
368
+ "model.layers.35.mlp.gate": {
369
+ "group_size": 64,
370
+ "bits": 8
371
+ },
372
+ "model.layers.36.mlp.gate": {
373
+ "group_size": 64,
374
+ "bits": 8
375
+ },
376
+ "model.layers.37.mlp.gate": {
377
+ "group_size": 64,
378
+ "bits": 8
379
+ },
380
+ "model.layers.38.mlp.gate": {
381
+ "group_size": 64,
382
+ "bits": 8
383
+ },
384
+ "model.layers.39.mlp.gate": {
385
+ "group_size": 64,
386
+ "bits": 8
387
+ },
388
+ "model.layers.40.mlp.gate": {
389
+ "group_size": 64,
390
+ "bits": 8
391
+ },
392
+ "model.layers.41.mlp.gate": {
393
+ "group_size": 64,
394
+ "bits": 8
395
+ },
396
+ "model.layers.42.mlp.gate": {
397
+ "group_size": 64,
398
+ "bits": 8
399
+ },
400
+ "model.layers.43.mlp.gate": {
401
+ "group_size": 64,
402
+ "bits": 8
403
+ },
404
+ "model.layers.44.mlp.gate": {
405
+ "group_size": 64,
406
+ "bits": 8
407
+ },
408
+ "model.layers.45.mlp.gate": {
409
+ "group_size": 64,
410
+ "bits": 8
411
+ },
412
+ "model.layers.46.mlp.gate": {
413
+ "group_size": 64,
414
+ "bits": 8
415
+ },
416
+ "model.layers.47.mlp.gate": {
417
+ "group_size": 64,
418
+ "bits": 8
419
+ }
420
  },
421
  "rms_norm_eps": 1e-06,
422
  "rope_scaling": null,
model-00001-of-00004.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:d3ab4b1e733058cd475d86bab8394e3be8cf4405f0cfa0f7409a821856b2a778
3
- size 5319507334
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:57869d7265b1db10e80e701b28cffd2c70ab43fa2ddd9759e0f0c0054bb98d80
3
+ size 5321473114
model-00002-of-00004.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:ed5865b6173b2bd7c1b9fa0036bb69f5022e3b0650a4c883a3b6c19a8ae137ca
3
- size 5364678700
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:93567df5fe76c8b4cb0050d8338875cf9d55a20430342bc814b021742cfb9aa7
3
+ size 5366644479
model-00003-of-00004.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:4c634efeffe5d8bcd4ceffd96f16c42a942a2c65bacac72a0b4ed34b28ebd235
3
- size 5274790267
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a5e47894751b50f2c005b269e51242819702881176286e01ded0abe0ad368578
3
+ size 5276887104
model-00004-of-00004.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:c3e99abf2189f7b38c5ae1986dc62cdb3ef2cf54942e76c9265a39c24e4391a2
3
- size 1215804237
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:294765641aa55b59130682af21e33cfb6c2e11ab1809cae3efb75ebe1a0c6de9
3
+ size 1216066332
model.safetensors.index.json CHANGED
@@ -1,6 +1,6 @@
1
  {
2
  "metadata": {
3
- "total_size": 17174622208,
4
  "total_parameters": 30532122624
5
  },
6
  "weight_map": {
 
1
  {
2
  "metadata": {
3
+ "total_size": 17180913664,
4
  "total_parameters": 30532122624
5
  },
6
  "weight_map": {
tokenizer_config.json CHANGED
@@ -231,7 +231,7 @@
231
  "eos_token": "<|im_end|>",
232
  "errors": "replace",
233
  "extra_special_tokens": {},
234
- "model_max_length": 262144,
235
  "pad_token": "<|endoftext|>",
236
  "split_special_tokens": false,
237
  "tokenizer_class": "Qwen2Tokenizer",
 
231
  "eos_token": "<|im_end|>",
232
  "errors": "replace",
233
  "extra_special_tokens": {},
234
+ "model_max_length": 1010000,
235
  "pad_token": "<|endoftext|>",
236
  "split_special_tokens": false,
237
  "tokenizer_class": "Qwen2Tokenizer",