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falcon-7b-autogptq-custom
SaffalPoosh/falcon-7b-autogptq-custom
falcon-7b-autogptq-custom is a text generation model from SaffalPoosh. Use it when you need the model to write or continue text. It is set up for transformers.
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4.6 GB
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.safetensors4.6 GB · 100%
At a glance
- Task
- Text Generation
- Library
- transformers
- Model type
- RefinedWebModel
- Access
- Public
- Created
- Jul 22, 2023
- Updated
- Jul 22, 2023
- SHA
- 404d1da3
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Model card
From the Hugging Face model README
autogptq quant. logs
>>> model.quantize(examples)
2023-07-21 16:54:47 INFO [auto_gptq.modeling._base] Start quantizing layer 1/32
2023-07-21 16:54:47 INFO [auto_gptq.modeling._base] Quantizing self_attention.query_key_value in layer 1/32...
2023-07-21 16:54:48 INFO [auto_gptq.quantization.gptq] duration: 0.8171646595001221
2023-07-21 16:54:48 INFO [auto_gptq.quantization.gptq] avg loss: 3.7546463012695312
2023-07-21 16:54:48 INFO [auto_gptq.modeling._base] Quantizing self_attention.dense in layer 1/32...
2023-07-21 16:54:49 INFO [auto_gptq.quantization.gptq] duration: 0.8055715560913086
2023-07-21 16:54:49 INFO [auto_gptq.quantization.gptq] avg loss: 0.2164316177368164
2023-07-21 16:54:49 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_h_to_4h in layer 1/32...
2023-07-21 16:54:50 INFO [auto_gptq.quantization.gptq] duration: 0.8417620658874512
2023-07-21 16:54:50 INFO [auto_gptq.quantization.gptq] avg loss: 16.070518493652344
2023-07-21 16:54:50 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_4h_to_h in layer 1/32...
2023-07-21 16:54:53 INFO [auto_gptq.quantization.gptq] duration: 3.90244197845459
2023-07-21 16:54:53 INFO [auto_gptq.quantization.gptq] avg loss: 0.5676069855690002
2023-07-21 16:54:53 INFO [auto_gptq.modeling._base] Start quantizing layer 2/32
2023-07-21 16:54:54 INFO [auto_gptq.modeling._base] Quantizing self_attention.query_key_value in layer 2/32...
2023-07-21 16:54:54 INFO [auto_gptq.quantization.gptq] duration: 0.8373761177062988
2023-07-21 16:54:54 INFO [auto_gptq.quantization.gptq] avg loss: 4.066518783569336
2023-07-21 16:54:54 INFO [auto_gptq.modeling._base] Quantizing self_attention.dense in layer 2/32...
2023-07-21 16:54:55 INFO [auto_gptq.quantization.gptq] duration: 0.8285796642303467
2023-07-21 16:54:55 INFO [auto_gptq.quantization.gptq] avg loss: 0.2558078169822693
2023-07-21 16:55:25 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_h_to_4h in layer 2/32...
2023-07-21 16:55:25 INFO [auto_gptq.quantization.gptq] duration: 0.8859198093414307
2023-07-21 16:55:25 INFO [auto_gptq.quantization.gptq] avg loss: 16.571727752685547
2023-07-21 16:55:26 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_4h_to_h in layer 2/32...
2023-07-21 16:55:29 INFO [auto_gptq.quantization.gptq] duration: 3.86962890625
2023-07-21 16:55:29 INFO [auto_gptq.quantization.gptq] avg loss: 0.34605544805526733
2023-07-21 16:55:30 INFO [auto_gptq.modeling._base] Start quantizing layer 3/32
2023-07-21 16:55:30 INFO [auto_gptq.modeling._base] Quantizing self_attention.query_key_value in layer 3/32...
2023-07-21 16:55:30 INFO [auto_gptq.quantization.gptq] duration: 0.8118832111358643
2023-07-21 16:55:30 INFO [auto_gptq.quantization.gptq] avg loss: 5.4185943603515625
2023-07-21 16:55:30 INFO [auto_gptq.modeling._base] Quantizing self_attention.dense in layer 3/32...
2023-07-21 16:55:31 INFO [auto_gptq.quantization.gptq] duration: 0.8096959590911865
2023-07-21 16:55:31 INFO [auto_gptq.quantization.gptq] avg loss: 0.22585009038448334
2023-07-21 16:55:31 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_h_to_4h in layer 3/32...
2023-07-21 16:55:32 INFO [auto_gptq.quantization.gptq] duration: 0.8473665714263916
2023-07-21 16:55:32 INFO [auto_gptq.quantization.gptq] avg loss: 27.050426483154297
2023-07-21 16:55:32 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_4h_to_h in layer 3/32...
2023-07-21 16:55:36 INFO [auto_gptq.quantization.gptq] duration: 3.8430850505828857
2023-07-21 16:55:36 INFO [auto_gptq.quantization.gptq] avg loss: 0.6839203834533691
2023-07-21 16:55:36 INFO [auto_gptq.modeling._base] Start quantizing layer 4/32
2023-07-21 16:55:36 INFO [auto_gptq.modeling._base] Quantizing self_attention.query_key_value in layer 4/32...
2023-07-21 16:55:37 INFO [auto_gptq.quantization.gptq] duration: 0.7948899269104004
2023-07-21 16:55:37 INFO [auto_gptq.quantization.gptq] avg loss: 6.523550987243652
2023-07-21 16:55:37 INFO [auto_gptq.modeling._base] Quantizing self_attention.dense in layer 4/32...
2023-07-21 16:55:38 INFO [auto_gptq.quantization.gptq] duration: 0.7990512847900391
2023-07-21 16:55:38 INFO [auto_gptq.quantization.gptq] avg loss: 0.21638213098049164
2023-07-21 16:55:38 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_h_to_4h in layer 4/32...
2023-07-21 16:55:39 INFO [auto_gptq.quantization.gptq] duration: 0.8403058052062988
2023-07-21 16:55:39 INFO [auto_gptq.quantization.gptq] avg loss: 36.57025146484375
2023-07-21 16:55:39 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_4h_to_h in layer 4/32...
2023-07-21 16:55:43 INFO [auto_gptq.quantization.gptq] duration: 3.856529474258423
2023-07-21 16:55:43 INFO [auto_gptq.quantization.gptq] avg loss: 9.424503326416016
2023-07-21 16:55:43 INFO [auto_gptq.modeling._base] Start quantizing layer 5/32
2023-07-21 16:55:43 INFO [auto_gptq.modeling._base] Quantizing self_attention.query_key_value in layer 5/32...
2023-07-21 16:55:44 INFO [auto_gptq.quantization.gptq] duration: 0.7926647663116455
2023-07-21 16:55:44 INFO [auto_gptq.quantization.gptq] avg loss: 6.277029037475586
2023-07-21 16:55:44 INFO [auto_gptq.modeling._base] Quantizing self_attention.dense in layer 5/32...
2023-07-21 16:55:44 INFO [auto_gptq.quantization.gptq] duration: 0.7987856864929199
2023-07-21 16:55:44 INFO [auto_gptq.quantization.gptq] avg loss: 0.1324760764837265
2023-07-21 16:55:44 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_h_to_4h in layer 5/32...
2023-07-21 16:55:45 INFO [auto_gptq.quantization.gptq] duration: 0.8394050598144531
2023-07-21 16:55:45 INFO [auto_gptq.quantization.gptq] avg loss: 36.26388168334961
2023-07-21 16:55:45 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_4h_to_h in layer 5/32...
2023-07-21 16:55:49 INFO [auto_gptq.quantization.gptq] duration: 3.849104166030884
2023-07-21 16:55:49 INFO [auto_gptq.quantization.gptq] avg loss: 2.376619338989258
2023-07-21 16:55:49 INFO [auto_gptq.modeling._base] Start quantizing layer 6/32
2023-07-21 16:55:49 INFO [auto_gptq.modeling._base] Quantizing self_attention.query_key_value in layer 6/32...
2023-07-21 16:55:50 INFO [auto_gptq.quantization.gptq] duration: 0.7964150905609131
2023-07-21 16:55:50 INFO [auto_gptq.quantization.gptq] avg loss: 8.479263305664062
2023-07-21 16:55:50 INFO [auto_gptq.modeling._base] Quantizing self_attention.dense in layer 6/32...
2023-07-21 16:55:51 INFO [auto_gptq.quantization.gptq] duration: 0.7951827049255371
2023-07-21 16:55:51 INFO [auto_gptq.quantization.gptq] avg loss: 0.14170163869857788
2023-07-21 16:56:21 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_h_to_4h in layer 6/32...
2023-07-21 16:56:22 INFO [auto_gptq.quantization.gptq] duration: 0.8720560073852539
2023-07-21 16:56:22 INFO [auto_gptq.quantization.gptq] avg loss: 42.756919860839844
2023-07-21 16:56:22 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_4h_to_h in layer 6/32...
2023-07-21 16:56:25 INFO [auto_gptq.quantization.gptq] duration: 3.8685550689697266
2023-07-21 16:56:25 INFO [auto_gptq.quantization.gptq] avg loss: 0.8117952346801758
2023-07-21 16:56:26 INFO [auto_gptq.modeling._base] Start quantizing layer 7/32
2023-07-21 16:56:26 INFO [auto_gptq.modeling._base] Quantizing self_attention.query_key_value in layer 7/32...
2023-07-21 16:56:26 INFO [auto_gptq.quantization.gptq] duration: 0.7976808547973633
2023-07-21 16:56:26 INFO [auto_gptq.quantization.gptq] avg loss: 7.019394397735596
2023-07-21 16:56:26 INFO [auto_gptq.modeling._base] Quantizing self_attention.dense in layer 7/32...
2023-07-21 16:56:27 INFO [auto_gptq.quantization.gptq] duration: 0.803225040435791
2023-07-21 16:56:27 INFO [auto_gptq.quantization.gptq] avg loss: 0.21443051099777222
2023-07-21 16:56:27 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_h_to_4h in layer 7/32...
2023-07-21 16:56:28 INFO [auto_gptq.quantization.gptq] duration: 0.8342931270599365
2023-07-21 16:56:28 INFO [auto_gptq.quantization.gptq] avg loss: 39.33504104614258
2023-07-21 16:56:28 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_4h_to_h in layer 7/32...
2023-07-21 16:56:32 INFO [auto_gptq.quantization.gptq] duration: 3.8671581745147705
2023-07-21 16:56:32 INFO [auto_gptq.quantization.gptq] avg loss: 0.9214520454406738
2023-07-21 16:56:32 INFO [auto_gptq.modeling._base] Start quantizing layer 8/32
2023-07-21 16:56:32 INFO [auto_gptq.modeling._base] Quantizing self_attention.query_key_value in layer 8/32...
2023-07-21 16:56:33 INFO [auto_gptq.quantization.gptq] duration: 0.7989864349365234
2023-07-21 16:56:33 INFO [auto_gptq.quantization.gptq] avg loss: 7.602280616760254
2023-07-21 16:56:33 INFO [auto_gptq.modeling._base] Quantizing self_attention.dense in layer 8/32...
2023-07-21 16:56:34 INFO [auto_gptq.quantization.gptq] duration: 0.8112733364105225
2023-07-21 16:56:34 INFO [auto_gptq.quantization.gptq] avg loss: 0.11391645669937134
2023-07-21 16:56:34 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_h_to_4h in layer 8/32...
2023-07-21 16:56:35 INFO [auto_gptq.quantization.gptq] duration: 0.8388988971710205
2023-07-21 16:56:35 INFO [auto_gptq.quantization.gptq] avg loss: 34.74957275390625
2023-07-21 16:56:35 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_4h_to_h in layer 8/32...
2023-07-21 16:56:39 INFO [auto_gptq.quantization.gptq] duration: 3.8561182022094727
2023-07-21 16:56:39 INFO [auto_gptq.quantization.gptq] avg loss: 1.1289432048797607
2023-07-21 16:56:39 INFO [auto_gptq.modeling._base] Start quantizing layer 9/32
2023-07-21 16:56:39 INFO [auto_gptq.modeling._base] Quantizing self_attention.query_key_value in layer 9/32...
2023-07-21 16:56:40 INFO [auto_gptq.quantization.gptq] duration: 0.7969386577606201
2023-07-21 16:56:40 INFO [auto_gptq.quantization.gptq] avg loss: 6.806826591491699
2023-07-21 16:56:40 INFO [auto_gptq.modeling._base] Quantizing self_attention.dense in layer 9/32...
2023-07-21 16:56:41 INFO [auto_gptq.quantization.gptq] duration: 0.7953078746795654
2023-07-21 16:56:41 INFO [auto_gptq.quantization.gptq] avg loss: 0.2318212240934372
2023-07-21 16:56:41 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_h_to_4h in layer 9/32...
2023-07-21 16:56:41 INFO [auto_gptq.quantization.gptq] duration: 0.8294937610626221
2023-07-21 16:56:41 INFO [auto_gptq.quantization.gptq] avg loss: 35.324676513671875
2023-07-21 16:56:41 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_4h_to_h in layer 9/32...
2023-07-21 16:56:45 INFO [auto_gptq.quantization.gptq] duration: 3.8630259037017822
2023-07-21 16:56:45 INFO [auto_gptq.quantization.gptq] avg loss: 1.4622347354888916
2023-07-21 16:56:45 INFO [auto_gptq.modeling._base] Start quantizing layer 10/32
2023-07-21 16:56:46 INFO [auto_gptq.modeling._base] Quantizing self_attention.query_key_value in layer 10/32...
2023-07-21 16:56:46 INFO [auto_gptq.quantization.gptq] duration: 0.8029708862304688
2023-07-21 16:56:46 INFO [auto_gptq.quantization.gptq] avg loss: 6.056252956390381
2023-07-21 16:56:46 INFO [auto_gptq.modeling._base] Quantizing self_attention.dense in layer 10/32...
2023-07-21 16:56:47 INFO [auto_gptq.quantization.gptq] duration: 0.8028323650360107
2023-07-21 16:56:47 INFO [auto_gptq.quantization.gptq] avg loss: 1.092197060585022
2023-07-21 16:56:47 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_h_to_4h in layer 10/32...
2023-07-21 16:56:48 INFO [auto_gptq.quantization.gptq] duration: 0.8335537910461426
2023-07-21 16:56:48 INFO [auto_gptq.quantization.gptq] avg loss: 30.71457290649414
2023-07-21 16:56:48 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_4h_to_h in layer 10/32...
2023-07-21 16:56:52 INFO [auto_gptq.quantization.gptq] duration: 3.8703184127807617
2023-07-21 16:56:52 INFO [auto_gptq.quantization.gptq] avg loss: 1.2208330631256104
2023-07-21 16:56:52 INFO [auto_gptq.modeling._base] Start quantizing layer 11/32
2023-07-21 16:56:52 INFO [auto_gptq.modeling._base] Quantizing self_attention.query_key_value in layer 11/32...
2023-07-21 16:56:53 INFO [auto_gptq.quantization.gptq] duration: 0.814570426940918
2023-07-21 16:56:53 INFO [auto_gptq.quantization.gptq] avg loss: 6.145627021789551
2023-07-21 16:56:53 INFO [auto_gptq.modeling._base] Quantizing self_attention.dense in layer 11/32...
2023-07-21 16:56:54 INFO [auto_gptq.quantization.gptq] duration: 0.8268287181854248
2023-07-21 16:56:54 INFO [auto_gptq.quantization.gptq] avg loss: 0.24324843287467957
2023-07-21 16:56:54 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_h_to_4h in layer 11/32...
2023-07-21 16:56:55 INFO [auto_gptq.quantization.gptq] duration: 0.8359119892120361
2023-07-21 16:56:55 INFO [auto_gptq.quantization.gptq] avg loss: 30.847026824951172
2023-07-21 16:56:55 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_4h_to_h in layer 11/32...
2023-07-21 16:56:58 INFO [auto_gptq.quantization.gptq] duration: 3.831470489501953
2023-07-21 16:56:58 INFO [auto_gptq.quantization.gptq] avg loss: 1.3961751461029053
2023-07-21 16:57:26 INFO [auto_gptq.modeling._base] Start quantizing layer 12/32
2023-07-21 16:57:26 INFO [auto_gptq.modeling._base] Quantizing self_attention.query_key_value in layer 12/32...
2023-07-21 16:57:27 INFO [auto_gptq.quantization.gptq] duration: 0.7964096069335938
2023-07-21 16:57:27 INFO [auto_gptq.quantization.gptq] avg loss: 6.053964614868164
2023-07-21 16:57:27 INFO [auto_gptq.modeling._base] Quantizing self_attention.dense in layer 12/32...
2023-07-21 16:57:28 INFO [auto_gptq.quantization.gptq] duration: 0.799691915512085
2023-07-21 16:57:28 INFO [auto_gptq.quantization.gptq] avg loss: 0.2671034336090088
2023-07-21 16:57:28 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_h_to_4h in layer 12/32...
2023-07-21 16:57:29 INFO [auto_gptq.quantization.gptq] duration: 0.8342888355255127
2023-07-21 16:57:29 INFO [auto_gptq.quantization.gptq] avg loss: 29.729408264160156
2023-07-21 16:57:29 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_4h_to_h in layer 12/32...
2023-07-21 16:57:33 INFO [auto_gptq.quantization.gptq] duration: 3.8561949729919434
2023-07-21 16:57:33 INFO [auto_gptq.quantization.gptq] avg loss: 1.495622158050537
2023-07-21 16:57:33 INFO [auto_gptq.modeling._base] Start quantizing layer 13/32
2023-07-21 16:57:33 INFO [auto_gptq.modeling._base] Quantizing self_attention.query_key_value in layer 13/32...
2023-07-21 16:57:34 INFO [auto_gptq.quantization.gptq] duration: 0.7953364849090576
2023-07-21 16:57:34 INFO [auto_gptq.quantization.gptq] avg loss: 5.408998489379883
2023-07-21 16:57:34 INFO [auto_gptq.modeling._base] Quantizing self_attention.dense in layer 13/32...
2023-07-21 16:57:34 INFO [auto_gptq.quantization.gptq] duration: 0.7990250587463379
2023-07-21 16:57:34 INFO [auto_gptq.quantization.gptq] avg loss: 0.5066410303115845
2023-07-21 16:57:34 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_h_to_4h in layer 13/32...
2023-07-21 16:57:35 INFO [auto_gptq.quantization.gptq] duration: 0.8330769538879395
2023-07-21 16:57:35 INFO [auto_gptq.quantization.gptq] avg loss: 27.790515899658203
2023-07-21 16:57:35 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_4h_to_h in layer 13/32...
2023-07-21 16:57:39 INFO [auto_gptq.quantization.gptq] duration: 3.861015558242798
2023-07-21 16:57:39 INFO [auto_gptq.quantization.gptq] avg loss: 1.3019633293151855
2023-07-21 16:57:39 INFO [auto_gptq.modeling._base] Start quantizing layer 14/32
2023-07-21 16:57:39 INFO [auto_gptq.modeling._base] Quantizing self_attention.query_key_value in layer 14/32...
2023-07-21 16:57:40 INFO [auto_gptq.quantization.gptq] duration: 0.8011329174041748
2023-07-21 16:57:40 INFO [auto_gptq.quantization.gptq] avg loss: 6.027165412902832
2023-07-21 16:57:40 INFO [auto_gptq.modeling._base] Quantizing self_attention.dense in layer 14/32...
2023-07-21 16:57:41 INFO [auto_gptq.quantization.gptq] duration: 0.7977538108825684
2023-07-21 16:57:41 INFO [auto_gptq.quantization.gptq] avg loss: 0.28969255089759827
2023-07-21 16:57:41 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_h_to_4h in layer 14/32...
2023-07-21 16:57:42 INFO [auto_gptq.quantization.gptq] duration: 0.8305981159210205
2023-07-21 16:57:42 INFO [auto_gptq.quantization.gptq] avg loss: 28.996891021728516
2023-07-21 16:57:42 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_4h_to_h in layer 14/32...
2023-07-21 16:57:46 INFO [auto_gptq.quantization.gptq] duration: 3.874257802963257
2023-07-21 16:57:46 INFO [auto_gptq.quantization.gptq] avg loss: 1.6258554458618164
2023-07-21 16:57:46 INFO [auto_gptq.modeling._base] Start quantizing layer 15/32
2023-07-21 16:57:46 INFO [auto_gptq.modeling._base] Quantizing self_attention.query_key_value in layer 15/32...
2023-07-21 16:57:47 INFO [auto_gptq.quantization.gptq] duration: 0.7982082366943359
2023-07-21 16:57:47 INFO [auto_gptq.quantization.gptq] avg loss: 5.937747001647949
2023-07-21 16:57:47 INFO [auto_gptq.modeling._base] Quantizing self_attention.dense in layer 15/32...
2023-07-21 16:57:48 INFO [auto_gptq.quantization.gptq] duration: 0.8004462718963623
2023-07-21 16:57:48 INFO [auto_gptq.quantization.gptq] avg loss: 0.3830963373184204
2023-07-21 16:57:48 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_h_to_4h in layer 15/32...
2023-07-21 16:57:48 INFO [auto_gptq.quantization.gptq] duration: 0.8347995281219482
2023-07-21 16:57:48 INFO [auto_gptq.quantization.gptq] avg loss: 30.339778900146484
2023-07-21 16:57:48 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_4h_to_h in layer 15/32...
2023-07-21 16:57:52 INFO [auto_gptq.quantization.gptq] duration: 3.8794045448303223
2023-07-21 16:57:52 INFO [auto_gptq.quantization.gptq] avg loss: 1.618453025817871
2023-07-21 16:57:52 INFO [auto_gptq.modeling._base] Start quantizing layer 16/32
2023-07-21 16:57:53 INFO [auto_gptq.modeling._base] Quantizing self_attention.query_key_value in layer 16/32...
2023-07-21 16:57:53 INFO [auto_gptq.quantization.gptq] duration: 0.802685022354126
2023-07-21 16:57:53 INFO [auto_gptq.quantization.gptq] avg loss: 5.992144584655762
2023-07-21 16:57:53 INFO [auto_gptq.modeling._base] Quantizing self_attention.dense in layer 16/32...
2023-07-21 16:57:54 INFO [auto_gptq.quantization.gptq] duration: 0.8001143932342529
2023-07-21 16:57:54 INFO [auto_gptq.quantization.gptq] avg loss: 0.3652211129665375
2023-07-21 16:57:54 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_h_to_4h in layer 16/32...
2023-07-21 16:57:55 INFO [auto_gptq.quantization.gptq] duration: 0.843254566192627
2023-07-21 16:57:55 INFO [auto_gptq.quantization.gptq] avg loss: 29.359691619873047
2023-07-21 16:57:55 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_4h_to_h in layer 16/32...
2023-07-21 16:57:59 INFO [auto_gptq.quantization.gptq] duration: 3.8731229305267334
2023-07-21 16:57:59 INFO [auto_gptq.quantization.gptq] avg loss: 1.8666539192199707
2023-07-21 16:57:59 INFO [auto_gptq.modeling._base] Start quantizing layer 17/32
2023-07-21 16:57:59 INFO [auto_gptq.modeling._base] Quantizing self_attention.query_key_value in layer 17/32...
2023-07-21 16:58:00 INFO [auto_gptq.quantization.gptq] duration: 0.79642653465271
2023-07-21 16:58:00 INFO [auto_gptq.quantization.gptq] avg loss: 6.463171482086182
2023-07-21 16:58:00 INFO [auto_gptq.modeling._base] Quantizing self_attention.dense in layer 17/32...
2023-07-21 16:58:01 INFO [auto_gptq.quantization.gptq] duration: 0.8078687191009521
2023-07-21 16:58:01 INFO [auto_gptq.quantization.gptq] avg loss: 0.24540238082408905
2023-07-21 16:58:01 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_h_to_4h in layer 17/32...
2023-07-21 16:58:02 INFO [auto_gptq.quantization.gptq] duration: 0.829270601272583
2023-07-21 16:58:02 INFO [auto_gptq.quantization.gptq] avg loss: 30.825468063354492
2023-07-21 16:58:02 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_4h_to_h in layer 17/32...
2023-07-21 16:58:05 INFO [auto_gptq.quantization.gptq] duration: 3.855315923690796
2023-07-21 16:58:05 INFO [auto_gptq.quantization.gptq] avg loss: 1.957414150238037
2023-07-21 16:58:06 INFO [auto_gptq.modeling._base] Start quantizing layer 18/32
2023-07-21 16:58:06 INFO [auto_gptq.modeling._base] Quantizing self_attention.query_key_value in layer 18/32...
2023-07-21 16:58:07 INFO [auto_gptq.quantization.gptq] duration: 0.8099801540374756
2023-07-21 16:58:07 INFO [auto_gptq.quantization.gptq] avg loss: 6.510787010192871
2023-07-21 16:58:07 INFO [auto_gptq.modeling._base] Quantizing self_attention.dense in layer 18/32...
2023-07-21 16:58:07 INFO [auto_gptq.quantization.gptq] duration: 0.8008811473846436
2023-07-21 16:58:07 INFO [auto_gptq.quantization.gptq] avg loss: 0.3201957941055298
2023-07-21 16:58:07 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_h_to_4h in layer 18/32...
2023-07-21 16:58:08 INFO [auto_gptq.quantization.gptq] duration: 0.8365602493286133
2023-07-21 16:58:08 INFO [auto_gptq.quantization.gptq] avg loss: 31.26324462890625
2023-07-21 16:58:08 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_4h_to_h in layer 18/32...
2023-07-21 16:58:12 INFO [auto_gptq.quantization.gptq] duration: 3.8536572456359863
2023-07-21 16:58:12 INFO [auto_gptq.quantization.gptq] avg loss: 2.0843615531921387
2023-07-21 16:58:12 INFO [auto_gptq.modeling._base] Start quantizing layer 19/32
2023-07-21 16:58:12 INFO [auto_gptq.modeling._base] Quantizing self_attention.query_key_value in layer 19/32...
2023-07-21 16:58:13 INFO [auto_gptq.quantization.gptq] duration: 0.7980837821960449
2023-07-21 16:58:13 INFO [auto_gptq.quantization.gptq] avg loss: 6.686659812927246
2023-07-21 16:58:13 INFO [auto_gptq.modeling._base] Quantizing self_attention.dense in layer 19/32...
2023-07-21 16:58:14 INFO [auto_gptq.quantization.gptq] duration: 0.7951889038085938
2023-07-21 16:58:14 INFO [auto_gptq.quantization.gptq] avg loss: 0.3053201138973236
2023-07-21 16:58:14 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_h_to_4h in layer 19/32...
2023-07-21 16:58:15 INFO [auto_gptq.quantization.gptq] duration: 0.8315420150756836
2023-07-21 16:58:15 INFO [auto_gptq.quantization.gptq] avg loss: 31.97283935546875
2023-07-21 16:58:15 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_4h_to_h in layer 19/32...
2023-07-21 16:58:19 INFO [auto_gptq.quantization.gptq] duration: 3.868382215499878
2023-07-21 16:58:19 INFO [auto_gptq.quantization.gptq] avg loss: 2.382962703704834
2023-07-21 16:58:19 INFO [auto_gptq.modeling._base] Start quantizing layer 20/32
2023-07-21 16:58:19 INFO [auto_gptq.modeling._base] Quantizing self_attention.query_key_value in layer 20/32...
2023-07-21 16:58:20 INFO [auto_gptq.quantization.gptq] duration: 0.797062873840332
2023-07-21 16:58:20 INFO [auto_gptq.quantization.gptq] avg loss: 6.721341133117676
2023-07-21 16:58:20 INFO [auto_gptq.modeling._base] Quantizing self_attention.dense in layer 20/32...
2023-07-21 16:58:20 INFO [auto_gptq.quantization.gptq] duration: 0.806023120880127
2023-07-21 16:58:20 INFO [auto_gptq.quantization.gptq] avg loss: 0.5635891556739807
2023-07-21 16:58:20 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_h_to_4h in layer 20/32...
2023-07-21 16:58:21 INFO [auto_gptq.quantization.gptq] duration: 0.841651201248169
2023-07-21 16:58:21 INFO [auto_gptq.quantization.gptq] avg loss: 33.371273040771484
2023-07-21 16:58:21 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_4h_to_h in layer 20/32...
2023-07-21 16:58:25 INFO [auto_gptq.quantization.gptq] duration: 3.8724091053009033
2023-07-21 16:58:25 INFO [auto_gptq.quantization.gptq] avg loss: 2.5540378093719482
2023-07-21 16:58:25 INFO [auto_gptq.modeling._base] Start quantizing layer 21/32
2023-07-21 16:58:25 INFO [auto_gptq.modeling._base] Quantizing self_attention.query_key_value in layer 21/32...
2023-07-21 16:58:26 INFO [auto_gptq.quantization.gptq] duration: 0.8135292530059814
2023-07-21 16:58:26 INFO [auto_gptq.quantization.gptq] avg loss: 7.383816242218018
2023-07-21 16:58:26 INFO [auto_gptq.modeling._base] Quantizing self_attention.dense in layer 21/32...
2023-07-21 16:58:27 INFO [auto_gptq.quantization.gptq] duration: 0.8004577159881592
2023-07-21 16:58:27 INFO [auto_gptq.quantization.gptq] avg loss: 0.2988166809082031
2023-07-21 16:58:27 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_h_to_4h in layer 21/32...
2023-07-21 16:58:28 INFO [auto_gptq.quantization.gptq] duration: 0.8346357345581055
2023-07-21 16:58:28 INFO [auto_gptq.quantization.gptq] avg loss: 34.46820068359375
2023-07-21 16:58:28 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_4h_to_h in layer 21/32...
2023-07-21 16:58:32 INFO [auto_gptq.quantization.gptq] duration: 3.8698837757110596
2023-07-21 16:58:32 INFO [auto_gptq.quantization.gptq] avg loss: 2.538421154022217
2023-07-21 16:58:32 INFO [auto_gptq.modeling._base] Start quantizing layer 22/32
2023-07-21 16:58:32 INFO [auto_gptq.modeling._base] Quantizing self_attention.query_key_value in layer 22/32...
2023-07-21 16:58:33 INFO [auto_gptq.quantization.gptq] duration: 0.7975707054138184
2023-07-21 16:58:33 INFO [auto_gptq.quantization.gptq] avg loss: 7.026803970336914
2023-07-21 16:58:33 INFO [auto_gptq.modeling._base] Quantizing self_attention.dense in layer 22/32...
2023-07-21 16:58:34 INFO [auto_gptq.quantization.gptq] duration: 0.7988865375518799
2023-07-21 16:58:34 INFO [auto_gptq.quantization.gptq] avg loss: 0.5440877079963684
2023-07-21 16:58:34 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_h_to_4h in layer 22/32...
2023-07-21 16:58:35 INFO [auto_gptq.quantization.gptq] duration: 0.847116231918335
2023-07-21 16:58:35 INFO [auto_gptq.quantization.gptq] avg loss: 33.8814582824707
2023-07-21 16:58:35 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_4h_to_h in layer 22/32...
2023-07-21 16:58:38 INFO [auto_gptq.quantization.gptq] duration: 3.851823091506958
2023-07-21 16:58:38 INFO [auto_gptq.quantization.gptq] avg loss: 2.612248182296753
2023-07-21 16:58:39 INFO [auto_gptq.modeling._base] Start quantizing layer 23/32
2023-07-21 16:58:39 INFO [auto_gptq.modeling._base] Quantizing self_attention.query_key_value in layer 23/32...
2023-07-21 16:58:39 INFO [auto_gptq.quantization.gptq] duration: 0.7956225872039795
2023-07-21 16:58:39 INFO [auto_gptq.quantization.gptq] avg loss: 7.3217453956604
2023-07-21 16:58:39 INFO [auto_gptq.modeling._base] Quantizing self_attention.dense in layer 23/32...
2023-07-21 16:58:40 INFO [auto_gptq.quantization.gptq] duration: 0.8155944347381592
2023-07-21 16:58:40 INFO [auto_gptq.quantization.gptq] avg loss: 0.3978100121021271
2023-07-21 16:58:40 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_h_to_4h in layer 23/32...
2023-07-21 16:58:41 INFO [auto_gptq.quantization.gptq] duration: 0.8472270965576172
2023-07-21 16:58:41 INFO [auto_gptq.quantization.gptq] avg loss: 33.613494873046875
2023-07-21 16:58:41 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_4h_to_h in layer 23/32...
2023-07-21 16:58:45 INFO [auto_gptq.quantization.gptq] duration: 3.877121925354004
2023-07-21 16:58:45 INFO [auto_gptq.quantization.gptq] avg loss: 3.0234107971191406
2023-07-21 16:58:45 INFO [auto_gptq.modeling._base] Start quantizing layer 24/32
2023-07-21 16:58:45 INFO [auto_gptq.modeling._base] Quantizing self_attention.query_key_value in layer 24/32...
2023-07-21 16:58:46 INFO [auto_gptq.quantization.gptq] duration: 0.8478920459747314
2023-07-21 16:58:46 INFO [auto_gptq.quantization.gptq] avg loss: 7.490325927734375
2023-07-21 16:58:46 INFO [auto_gptq.modeling._base] Quantizing self_attention.dense in layer 24/32...
2023-07-21 16:58:47 INFO [auto_gptq.quantization.gptq] duration: 0.8023700714111328
2023-07-21 16:58:47 INFO [auto_gptq.quantization.gptq] avg loss: 0.6462091207504272
2023-07-21 16:58:47 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_h_to_4h in layer 24/32...
2023-07-21 16:58:48 INFO [auto_gptq.quantization.gptq] duration: 0.8271210193634033
2023-07-21 16:58:48 INFO [auto_gptq.quantization.gptq] avg loss: 35.156715393066406
2023-07-21 16:58:48 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_4h_to_h in layer 24/32...
2023-07-21 16:58:52 INFO [auto_gptq.quantization.gptq] duration: 3.8558664321899414
2023-07-21 16:58:52 INFO [auto_gptq.quantization.gptq] avg loss: 3.4150047302246094
2023-07-21 16:58:52 INFO [auto_gptq.modeling._base] Start quantizing layer 25/32
2023-07-21 16:58:52 INFO [auto_gptq.modeling._base] Quantizing self_attention.query_key_value in layer 25/32...
2023-07-21 16:58:53 INFO [auto_gptq.quantization.gptq] duration: 0.804887056350708
2023-07-21 16:58:53 INFO [auto_gptq.quantization.gptq] avg loss: 7.842990875244141
2023-07-21 16:58:53 INFO [auto_gptq.modeling._base] Quantizing self_attention.dense in layer 25/32...
2023-07-21 16:58:53 INFO [auto_gptq.quantization.gptq] duration: 0.7986440658569336
2023-07-21 16:58:53 INFO [auto_gptq.quantization.gptq] avg loss: 0.5917433500289917
2023-07-21 16:58:53 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_h_to_4h in layer 25/32...
2023-07-21 16:58:54 INFO [auto_gptq.quantization.gptq] duration: 0.8256046772003174
2023-07-21 16:58:54 INFO [auto_gptq.quantization.gptq] avg loss: 36.299095153808594
2023-07-21 16:58:54 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_4h_to_h in layer 25/32...
2023-07-21 16:58:58 INFO [auto_gptq.quantization.gptq] duration: 3.86680006980896
2023-07-21 16:58:58 INFO [auto_gptq.quantization.gptq] avg loss: 4.292586326599121
2023-07-21 16:58:58 INFO [auto_gptq.modeling._base] Start quantizing layer 26/32
2023-07-21 16:58:58 INFO [auto_gptq.modeling._base] Quantizing self_attention.query_key_value in layer 26/32...
2023-07-21 16:58:59 INFO [auto_gptq.quantization.gptq] duration: 0.7961215972900391
2023-07-21 16:58:59 INFO [auto_gptq.quantization.gptq] avg loss: 8.335006713867188
2023-07-21 16:58:59 INFO [auto_gptq.modeling._base] Quantizing self_attention.dense in layer 26/32...
2023-07-21 16:59:00 INFO [auto_gptq.quantization.gptq] duration: 0.7967922687530518
2023-07-21 16:59:00 INFO [auto_gptq.quantization.gptq] avg loss: 0.5929185152053833
2023-07-21 16:59:00 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_h_to_4h in layer 26/32...
2023-07-21 16:59:01 INFO [auto_gptq.quantization.gptq] duration: 0.8355779647827148
2023-07-21 16:59:01 INFO [auto_gptq.quantization.gptq] avg loss: 39.31059265136719
2023-07-21 16:59:01 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_4h_to_h in layer 26/32...
2023-07-21 16:59:05 INFO [auto_gptq.quantization.gptq] duration: 3.859668731689453
2023-07-21 16:59:05 INFO [auto_gptq.quantization.gptq] avg loss: 5.2629475593566895
2023-07-21 16:59:05 INFO [auto_gptq.modeling._base] Start quantizing layer 27/32
2023-07-21 16:59:05 INFO [auto_gptq.modeling._base] Quantizing self_attention.query_key_value in layer 27/32...
2023-07-21 16:59:06 INFO [auto_gptq.quantization.gptq] duration: 0.7974636554718018
2023-07-21 16:59:06 INFO [auto_gptq.quantization.gptq] avg loss: 8.194433212280273
2023-07-21 16:59:06 INFO [auto_gptq.modeling._base] Quantizing self_attention.dense in layer 27/32...
2023-07-21 16:59:07 INFO [auto_gptq.quantization.gptq] duration: 0.8030986785888672
2023-07-21 16:59:07 INFO [auto_gptq.quantization.gptq] avg loss: 0.7090796828269958
2023-07-21 16:59:07 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_h_to_4h in layer 27/32...
2023-07-21 16:59:07 INFO [auto_gptq.quantization.gptq] duration: 0.8322622776031494
2023-07-21 16:59:07 INFO [auto_gptq.quantization.gptq] avg loss: 39.4634895324707
2023-07-21 16:59:07 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_4h_to_h in layer 27/32...
2023-07-21 16:59:11 INFO [auto_gptq.quantization.gptq] duration: 3.878126859664917
2023-07-21 16:59:11 INFO [auto_gptq.quantization.gptq] avg loss: 6.581557750701904
2023-07-21 16:59:11 INFO [auto_gptq.modeling._base] Start quantizing layer 28/32
2023-07-21 16:59:12 INFO [auto_gptq.modeling._base] Quantizing self_attention.query_key_value in layer 28/32...
2023-07-21 16:59:12 INFO [auto_gptq.quantization.gptq] duration: 0.7974464893341064
2023-07-21 16:59:12 INFO [auto_gptq.quantization.gptq] avg loss: 9.201988220214844
2023-07-21 16:59:12 INFO [auto_gptq.modeling._base] Quantizing self_attention.dense in layer 28/32...
2023-07-21 16:59:13 INFO [auto_gptq.quantization.gptq] duration: 0.8018836975097656
2023-07-21 16:59:13 INFO [auto_gptq.quantization.gptq] avg loss: 1.193915605545044
2023-07-21 16:59:13 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_h_to_4h in layer 28/32...
2023-07-21 16:59:14 INFO [auto_gptq.quantization.gptq] duration: 0.832056999206543
2023-07-21 16:59:14 INFO [auto_gptq.quantization.gptq] avg loss: 39.874481201171875
2023-07-21 16:59:14 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_4h_to_h in layer 28/32...
2023-07-21 16:59:18 INFO [auto_gptq.quantization.gptq] duration: 3.8739585876464844
2023-07-21 16:59:18 INFO [auto_gptq.quantization.gptq] avg loss: 7.8150634765625
2023-07-21 16:59:18 INFO [auto_gptq.modeling._base] Start quantizing layer 29/32
2023-07-21 16:59:18 INFO [auto_gptq.modeling._base] Quantizing self_attention.query_key_value in layer 29/32...
2023-07-21 16:59:19 INFO [auto_gptq.quantization.gptq] duration: 0.7971282005310059
2023-07-21 16:59:19 INFO [auto_gptq.quantization.gptq] avg loss: 8.788995742797852
2023-07-21 16:59:19 INFO [auto_gptq.modeling._base] Quantizing self_attention.dense in layer 29/32...
2023-07-21 16:59:20 INFO [auto_gptq.quantization.gptq] duration: 0.8014233112335205
2023-07-21 16:59:20 INFO [auto_gptq.quantization.gptq] avg loss: 0.9004578590393066
2023-07-21 16:59:20 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_h_to_4h in layer 29/32...
2023-07-21 16:59:21 INFO [auto_gptq.quantization.gptq] duration: 0.8585555553436279
2023-07-21 16:59:21 INFO [auto_gptq.quantization.gptq] avg loss: 40.52891159057617
2023-07-21 16:59:21 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_4h_to_h in layer 29/32...
2023-07-21 16:59:24 INFO [auto_gptq.quantization.gptq] duration: 3.886247396469116
2023-07-21 16:59:24 INFO [auto_gptq.quantization.gptq] avg loss: 7.627683639526367
2023-07-21 16:59:25 INFO [auto_gptq.modeling._base] Start quantizing layer 30/32
2023-07-21 16:59:25 INFO [auto_gptq.modeling._base] Quantizing self_attention.query_key_value in layer 30/32...
2023-07-21 16:59:26 INFO [auto_gptq.quantization.gptq] duration: 0.8017170429229736
2023-07-21 16:59:26 INFO [auto_gptq.quantization.gptq] avg loss: 7.885834217071533
2023-07-21 16:59:26 INFO [auto_gptq.modeling._base] Quantizing self_attention.dense in layer 30/32...
2023-07-21 16:59:26 INFO [auto_gptq.quantization.gptq] duration: 0.8006551265716553
2023-07-21 16:59:26 INFO [auto_gptq.quantization.gptq] avg loss: 1.0838208198547363
2023-07-21 16:59:26 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_h_to_4h in layer 30/32...
2023-07-21 16:59:27 INFO [auto_gptq.quantization.gptq] duration: 0.8757197856903076
2023-07-21 16:59:27 INFO [auto_gptq.quantization.gptq] avg loss: 38.54998779296875
2023-07-21 16:59:27 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_4h_to_h in layer 30/32...
2023-07-21 16:59:31 INFO [auto_gptq.quantization.gptq] duration: 3.8700709342956543
2023-07-21 16:59:31 INFO [auto_gptq.quantization.gptq] avg loss: 10.26675796508789
2023-07-21 16:59:31 INFO [auto_gptq.modeling._base] Start quantizing layer 31/32
2023-07-21 16:59:31 INFO [auto_gptq.modeling._base] Quantizing self_attention.query_key_value in layer 31/32...
2023-07-21 16:59:32 INFO [auto_gptq.quantization.gptq] duration: 0.7995920181274414
2023-07-21 16:59:32 INFO [auto_gptq.quantization.gptq] avg loss: 7.922703266143799
2023-07-21 16:59:32 INFO [auto_gptq.modeling._base] Quantizing self_attention.dense in layer 31/32...
2023-07-21 16:59:33 INFO [auto_gptq.quantization.gptq] duration: 0.7997887134552002
2023-07-21 16:59:33 INFO [auto_gptq.quantization.gptq] avg loss: 0.6395642757415771
2023-07-21 16:59:33 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_h_to_4h in layer 31/32...
2023-07-21 16:59:34 INFO [auto_gptq.quantization.gptq] duration: 0.8389708995819092
2023-07-21 16:59:34 INFO [auto_gptq.quantization.gptq] avg loss: 38.0499153137207
2023-07-21 16:59:34 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_4h_to_h in layer 31/32...
2023-07-21 16:59:38 INFO [auto_gptq.quantization.gptq] duration: 3.8527672290802
2023-07-21 16:59:38 INFO [auto_gptq.quantization.gptq] avg loss: 14.685250282287598
2023-07-21 16:59:38 INFO [auto_gptq.modeling._base] Start quantizing layer 32/32
2023-07-21 16:59:38 INFO [auto_gptq.modeling._base] Quantizing self_attention.query_key_value in layer 32/32...
2023-07-21 16:59:39 INFO [auto_gptq.quantization.gptq] duration: 0.7899763584136963
2023-07-21 16:59:39 INFO [auto_gptq.quantization.gptq] avg loss: 6.566901206970215
2023-07-21 17:00:08 INFO [auto_gptq.modeling._base] Quantizing self_attention.dense in layer 32/32...
2023-07-21 17:00:09 INFO [auto_gptq.quantization.gptq] duration: 0.890770673751831
2023-07-21 17:00:09 INFO [auto_gptq.quantization.gptq] avg loss: 0.2703491747379303
2023-07-21 17:00:09 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_h_to_4h in layer 32/32...
2023-07-21 17:00:10 INFO [auto_gptq.quantization.gptq] duration: 0.8699018955230713
2023-07-21 17:00:10 INFO [auto_gptq.quantization.gptq] avg loss: 33.582237243652344
2023-07-21 17:00:10 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_4h_to_h in layer 32/32...
2023-07-21 17:00:14 INFO [auto_gptq.quantization.gptq] duration: 3.8666820526123047
2023-07-21 17:00:14 INFO [auto_gptq.quantization.gptq] avg loss: 26.30276107788086
2023-07-21 17:00:14 INFO [auto_gptq.modeling._utils] Packing model...
2023-07-21 17:00:14 INFO [auto_gptq.modeling._utils] transformer.h.0.self_attention.dense
2023-07-21 17:00:15 INFO [auto_gptq.modeling._utils] transformer.h.0.self_attention.query_key_value
2023-07-21 17:00:15 INFO [auto_gptq.modeling._utils] transformer.h.0.mlp.dense_4h_to_h
2023-07-21 17:00:18 INFO [auto_gptq.modeling._utils] transformer.h.0.mlp.dense_h_to_4h
2023-07-21 17:00:19 INFO [auto_gptq.modeling._utils] transformer.h.1.self_attention.dense
2023-07-21 17:00:19 INFO [auto_gptq.modeling._utils] transformer.h.1.self_attention.query_key_value
2023-07-21 17:00:20 INFO [auto_gptq.modeling._utils] transformer.h.1.mlp.dense_4h_to_h
2023-07-21 17:00:22 INFO [auto_gptq.modeling._utils] transformer.h.1.mlp.dense_h_to_4h
2023-07-21 17:00:23 INFO [auto_gptq.modeling._utils] transformer.h.2.self_attention.dense
2023-07-21 17:00:23 INFO [auto_gptq.modeling._utils] transformer.h.2.self_attention.query_key_value
2023-07-21 17:00:24 INFO [auto_gptq.modeling._utils] transformer.h.2.mlp.dense_4h_to_h
2023-07-21 17:00:26 INFO [auto_gptq.modeling._utils] transformer.h.2.mlp.dense_h_to_4h
2023-07-21 17:00:27 INFO [auto_gptq.modeling._utils] transformer.h.3.self_attention.dense
2023-07-21 17:00:28 INFO [auto_gptq.modeling._utils] transformer.h.3.self_attention.query_key_value
2023-07-21 17:00:28 INFO [auto_gptq.modeling._utils] transformer.h.3.mlp.dense_4h_to_h
2023-07-21 17:00:30 INFO [auto_gptq.modeling._utils] transformer.h.3.mlp.dense_h_to_4h
2023-07-21 17:00:31 INFO [auto_gptq.modeling._utils] transformer.h.4.self_attention.dense
2023-07-21 17:00:32 INFO [auto_gptq.modeling._utils] transformer.h.4.self_attention.query_key_value
2023-07-21 17:00:32 INFO [auto_gptq.modeling._utils] transformer.h.4.mlp.dense_4h_to_h
2023-07-21 17:00:34 INFO [auto_gptq.modeling._utils] transformer.h.4.mlp.dense_h_to_4h
2023-07-21 17:00:35 INFO [auto_gptq.modeling._utils] transformer.h.5.self_attention.dense
2023-07-21 17:00:35 INFO [auto_gptq.modeling._utils] transformer.h.5.self_attention.query_key_value
2023-07-21 17:00:36 INFO [auto_gptq.modeling._utils] transformer.h.5.mlp.dense_4h_to_h
2023-07-21 17:00:38 INFO [auto_gptq.modeling._utils] transformer.h.5.mlp.dense_h_to_4h
2023-07-21 17:00:39 INFO [auto_gptq.modeling._utils] transformer.h.6.self_attention.dense
2023-07-21 17:00:39 INFO [auto_gptq.modeling._utils] transformer.h.6.self_attention.query_key_value
2023-07-21 17:00:40 INFO [auto_gptq.modeling._utils] transformer.h.6.mlp.dense_4h_to_h
2023-07-21 17:00:41 INFO [auto_gptq.modeling._utils] transformer.h.6.mlp.dense_h_to_4h
2023-07-21 17:00:42 INFO [auto_gptq.modeling._utils] transformer.h.7.self_attention.dense
2023-07-21 17:00:43 INFO [auto_gptq.modeling._utils] transformer.h.7.self_attention.query_key_value
2023-07-21 17:00:43 INFO [auto_gptq.modeling._utils] transformer.h.7.mlp.dense_4h_to_h
2023-07-21 17:00:45 INFO [auto_gptq.modeling._utils] transformer.h.7.mlp.dense_h_to_4h
2023-07-21 17:00:46 INFO [auto_gptq.modeling._utils] transformer.h.8.self_attention.dense
2023-07-21 17:00:47 INFO [auto_gptq.modeling._utils] transformer.h.8.self_attention.query_key_value
2023-07-21 17:00:47 INFO [auto_gptq.modeling._utils] transformer.h.8.mlp.dense_4h_to_h
2023-07-21 17:00:49 INFO [auto_gptq.modeling._utils] transformer.h.8.mlp.dense_h_to_4h
2023-07-21 17:00:50 INFO [auto_gptq.modeling._utils] transformer.h.9.self_attention.dense
2023-07-21 17:00:50 INFO [auto_gptq.modeling._utils] transformer.h.9.self_attention.query_key_value
2023-07-21 17:00:51 INFO [auto_gptq.modeling._utils] transformer.h.9.mlp.dense_4h_to_h
2023-07-21 17:00:53 INFO [auto_gptq.modeling._utils] transformer.h.9.mlp.dense_h_to_4h
2023-07-21 17:00:54 INFO [auto_gptq.modeling._utils] transformer.h.10.self_attention.dense
2023-07-21 17:00:54 INFO [auto_gptq.modeling._utils] transformer.h.10.self_attention.query_key_value
2023-07-21 17:00:55 INFO [auto_gptq.modeling._utils] transformer.h.10.mlp.dense_4h_to_h
2023-07-21 17:00:56 INFO [auto_gptq.modeling._utils] transformer.h.10.mlp.dense_h_to_4h
2023-07-21 17:00:57 INFO [auto_gptq.modeling._utils] transformer.h.11.self_attention.dense
2023-07-21 17:00:58 INFO [auto_gptq.modeling._utils] transformer.h.11.self_attention.query_key_value
2023-07-21 17:00:58 INFO [auto_gptq.modeling._utils] transformer.h.11.mlp.dense_4h_to_h
2023-07-21 17:01:00 INFO [auto_gptq.modeling._utils] transformer.h.11.mlp.dense_h_to_4h
2023-07-21 17:01:01 INFO [auto_gptq.modeling._utils] transformer.h.12.self_attention.dense
2023-07-21 17:01:02 INFO [auto_gptq.modeling._utils] transformer.h.12.self_attention.query_key_value
2023-07-21 17:01:02 INFO [auto_gptq.modeling._utils] transformer.h.12.mlp.dense_4h_to_h
2023-07-21 17:01:04 INFO [auto_gptq.modeling._utils] transformer.h.12.mlp.dense_h_to_4h
2023-07-21 17:01:05 INFO [auto_gptq.modeling._utils] transformer.h.13.self_attention.dense
2023-07-21 17:01:06 INFO [auto_gptq.modeling._utils] transformer.h.13.self_attention.query_key_value
2023-07-21 17:01:06 INFO [auto_gptq.modeling._utils] transformer.h.13.mlp.dense_4h_to_h
2023-07-21 17:01:08 INFO [auto_gptq.modeling._utils] transformer.h.13.mlp.dense_h_to_4h
2023-07-21 17:01:09 INFO [auto_gptq.modeling._utils] transformer.h.14.self_attention.dense
2023-07-21 17:01:10 INFO [auto_gptq.modeling._utils] transformer.h.14.self_attention.query_key_value
2023-07-21 17:01:10 INFO [auto_gptq.modeling._utils] transformer.h.14.mlp.dense_4h_to_h
2023-07-21 17:01:12 INFO [auto_gptq.modeling._utils] transformer.h.14.mlp.dense_h_to_4h
2023-07-21 17:01:13 INFO [auto_gptq.modeling._utils] transformer.h.15.self_attention.dense
2023-07-21 17:01:13 INFO [auto_gptq.modeling._utils] transformer.h.15.self_attention.query_key_value
2023-07-21 17:01:14 INFO [auto_gptq.modeling._utils] transformer.h.15.mlp.dense_4h_to_h
2023-07-21 17:01:16 INFO [auto_gptq.modeling._utils] transformer.h.15.mlp.dense_h_to_4h
2023-07-21 17:01:17 INFO [auto_gptq.modeling._utils] transformer.h.16.self_attention.dense
2023-07-21 17:01:17 INFO [auto_gptq.modeling._utils] transformer.h.16.self_attention.query_key_value
2023-07-21 17:01:18 INFO [auto_gptq.modeling._utils] transformer.h.16.mlp.dense_4h_to_h
2023-07-21 17:01:19 INFO [auto_gptq.modeling._utils] transformer.h.16.mlp.dense_h_to_4h
2023-07-21 17:01:21 INFO [auto_gptq.modeling._utils] transformer.h.17.self_attention.dense
2023-07-21 17:01:21 INFO [auto_gptq.modeling._utils] transformer.h.17.self_attention.query_key_value
2023-07-21 17:01:21 INFO [auto_gptq.modeling._utils] transformer.h.17.mlp.dense_4h_to_h
2023-07-21 17:01:23 INFO [auto_gptq.modeling._utils] transformer.h.17.mlp.dense_h_to_4h
2023-07-21 17:01:24 INFO [auto_gptq.modeling._utils] transformer.h.18.self_attention.dense
2023-07-21 17:01:25 INFO [auto_gptq.modeling._utils] transformer.h.18.self_attention.query_key_value
2023-07-21 17:01:25 INFO [auto_gptq.modeling._utils] transformer.h.18.mlp.dense_4h_to_h
2023-07-21 17:01:27 INFO [auto_gptq.modeling._utils] transformer.h.18.mlp.dense_h_to_4h
2023-07-21 17:01:28 INFO [auto_gptq.modeling._utils] transformer.h.19.self_attention.dense
2023-07-21 17:01:29 INFO [auto_gptq.modeling._utils] transformer.h.19.self_attention.query_key_value
2023-07-21 17:01:29 INFO [auto_gptq.modeling._utils] transformer.h.19.mlp.dense_4h_to_h
2023-07-21 17:01:31 INFO [auto_gptq.modeling._utils] transformer.h.19.mlp.dense_h_to_4h
2023-07-21 17:01:32 INFO [auto_gptq.modeling._utils] transformer.h.20.self_attention.dense
2023-07-21 17:01:33 INFO [auto_gptq.modeling._utils] transformer.h.20.self_attention.query_key_value
2023-07-21 17:01:33 INFO [auto_gptq.modeling._utils] transformer.h.20.mlp.dense_4h_to_h
2023-07-21 17:01:35 INFO [auto_gptq.modeling._utils] transformer.h.20.mlp.dense_h_to_4h
2023-07-21 17:01:36 INFO [auto_gptq.modeling._utils] transformer.h.21.self_attention.dense
2023-07-21 17:01:37 INFO [auto_gptq.modeling._utils] transformer.h.21.self_attention.query_key_value
2023-07-21 17:01:37 INFO [auto_gptq.modeling._utils] transformer.h.21.mlp.dense_4h_to_h
2023-07-21 17:01:39 INFO [auto_gptq.modeling._utils] transformer.h.21.mlp.dense_h_to_4h
2023-07-21 17:01:40 INFO [auto_gptq.modeling._utils] transformer.h.22.self_attention.dense
2023-07-21 17:01:40 INFO [auto_gptq.modeling._utils] transformer.h.22.self_attention.query_key_value
2023-07-21 17:01:41 INFO [auto_gptq.modeling._utils] transformer.h.22.mlp.dense_4h_to_h
2023-07-21 17:01:43 INFO [auto_gptq.modeling._utils] transformer.h.22.mlp.dense_h_to_4h
2023-07-21 17:01:44 INFO [auto_gptq.modeling._utils] transformer.h.23.self_attention.dense
2023-07-21 17:01:44 INFO [auto_gptq.modeling._utils] transformer.h.23.self_attention.query_key_value
2023-07-21 17:01:45 INFO [auto_gptq.modeling._utils] transformer.h.23.mlp.dense_4h_to_h
2023-07-21 17:01:46 INFO [auto_gptq.modeling._utils] transformer.h.23.mlp.dense_h_to_4h
2023-07-21 17:01:48 INFO [auto_gptq.modeling._utils] transformer.h.24.self_attention.dense
2023-07-21 17:01:48 INFO [auto_gptq.modeling._utils] transformer.h.24.self_attention.query_key_value
2023-07-21 17:01:49 INFO [auto_gptq.modeling._utils] transformer.h.24.mlp.dense_4h_to_h
2023-07-21 17:01:51 INFO [auto_gptq.modeling._utils] transformer.h.24.mlp.dense_h_to_4h
2023-07-21 17:01:52 INFO [auto_gptq.modeling._utils] transformer.h.25.self_attention.dense
2023-07-21 17:01:52 INFO [auto_gptq.modeling._utils] transformer.h.25.self_attention.query_key_value
2023-07-21 17:01:53 INFO [auto_gptq.modeling._utils] transformer.h.25.mlp.dense_4h_to_h
2023-07-21 17:01:54 INFO [auto_gptq.modeling._utils] transformer.h.25.mlp.dense_h_to_4h
2023-07-21 17:01:55 INFO [auto_gptq.modeling._utils] transformer.h.26.self_attention.dense
2023-07-21 17:01:56 INFO [auto_gptq.modeling._utils] transformer.h.26.self_attention.query_key_value
2023-07-21 17:01:56 INFO [auto_gptq.modeling._utils] transformer.h.26.mlp.dense_4h_to_h
2023-07-21 17:01:58 INFO [auto_gptq.modeling._utils] transformer.h.26.mlp.dense_h_to_4h
2023-07-21 17:02:00 INFO [auto_gptq.modeling._utils] transformer.h.27.self_attention.dense
2023-07-21 17:02:00 INFO [auto_gptq.modeling._utils] transformer.h.27.self_attention.query_key_value
2023-07-21 17:02:00 INFO [auto_gptq.modeling._utils] transformer.h.27.mlp.dense_4h_to_h
2023-07-21 17:02:02 INFO [auto_gptq.modeling._utils] transformer.h.27.mlp.dense_h_to_4h
2023-07-21 17:02:03 INFO [auto_gptq.modeling._utils] transformer.h.28.self_attention.dense
2023-07-21 17:02:04 INFO [auto_gptq.modeling._utils] transformer.h.28.self_attention.query_key_value
2023-07-21 17:02:04 INFO [auto_gptq.modeling._utils] transformer.h.28.mlp.dense_4h_to_h
2023-07-21 17:02:06 INFO [auto_gptq.modeling._utils] transformer.h.28.mlp.dense_h_to_4h
2023-07-21 17:02:07 INFO [auto_gptq.modeling._utils] transformer.h.29.self_attention.dense
2023-07-21 17:02:08 INFO [auto_gptq.modeling._utils] transformer.h.29.self_attention.query_key_value
2023-07-21 17:02:08 INFO [auto_gptq.modeling._utils] transformer.h.29.mlp.dense_4h_to_h
2023-07-21 17:02:10 INFO [auto_gptq.modeling._utils] transformer.h.29.mlp.dense_h_to_4h
2023-07-21 17:02:11 INFO [auto_gptq.modeling._utils] transformer.h.30.self_attention.dense
2023-07-21 17:02:12 INFO [auto_gptq.modeling._utils] transformer.h.30.self_attention.query_key_value
2023-07-21 17:02:12 INFO [auto_gptq.modeling._utils] transformer.h.30.mlp.dense_4h_to_h
2023-07-21 17:02:14 INFO [auto_gptq.modeling._utils] transformer.h.30.mlp.dense_h_to_4h
2023-07-21 17:02:15 INFO [auto_gptq.modeling._utils] transformer.h.31.self_attention.dense
2023-07-21 17:02:16 INFO [auto_gptq.modeling._utils] transformer.h.31.self_attention.query_key_value
2023-07-21 17:02:16 INFO [auto_gptq.modeling._utils] transformer.h.31.mlp.dense_4h_to_h
2023-07-21 17:02:18 INFO [auto_gptq.modeling._utils] transformer.h.31.mlp.dense_h_to_4h
2023-07-21 17:02:19 INFO [auto_gptq.modeling._utils] Model packed.
- Task
- Text Generation
- Library
- transformers
- Type
- RefinedWebModel
- Created
- Jul 22, 2023
- Updated
- Jul 22, 2023