Commit
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404d1da
1
Parent(s):
abad0de
added quant logs
Browse files
README.md
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| 1 |
+
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| 2 |
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| 3 |
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autogptq quant. logs
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| 5 |
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| 6 |
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```
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| 7 |
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>>> model.quantize(examples)
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| 8 |
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2023-07-21 16:54:47 INFO [auto_gptq.modeling._base] Start quantizing layer 1/32
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| 9 |
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2023-07-21 16:54:47 INFO [auto_gptq.modeling._base] Quantizing self_attention.query_key_value in layer 1/32...
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| 10 |
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2023-07-21 16:54:48 INFO [auto_gptq.quantization.gptq] duration: 0.8171646595001221
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| 11 |
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2023-07-21 16:54:48 INFO [auto_gptq.quantization.gptq] avg loss: 3.7546463012695312
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| 12 |
+
2023-07-21 16:54:48 INFO [auto_gptq.modeling._base] Quantizing self_attention.dense in layer 1/32...
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| 13 |
+
2023-07-21 16:54:49 INFO [auto_gptq.quantization.gptq] duration: 0.8055715560913086
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| 14 |
+
2023-07-21 16:54:49 INFO [auto_gptq.quantization.gptq] avg loss: 0.2164316177368164
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| 15 |
+
2023-07-21 16:54:49 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_h_to_4h in layer 1/32...
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| 16 |
+
2023-07-21 16:54:50 INFO [auto_gptq.quantization.gptq] duration: 0.8417620658874512
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| 17 |
+
2023-07-21 16:54:50 INFO [auto_gptq.quantization.gptq] avg loss: 16.070518493652344
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| 18 |
+
2023-07-21 16:54:50 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_4h_to_h in layer 1/32...
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| 19 |
+
2023-07-21 16:54:53 INFO [auto_gptq.quantization.gptq] duration: 3.90244197845459
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| 20 |
+
2023-07-21 16:54:53 INFO [auto_gptq.quantization.gptq] avg loss: 0.5676069855690002
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| 21 |
+
2023-07-21 16:54:53 INFO [auto_gptq.modeling._base] Start quantizing layer 2/32
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| 22 |
+
2023-07-21 16:54:54 INFO [auto_gptq.modeling._base] Quantizing self_attention.query_key_value in layer 2/32...
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| 23 |
+
2023-07-21 16:54:54 INFO [auto_gptq.quantization.gptq] duration: 0.8373761177062988
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| 24 |
+
2023-07-21 16:54:54 INFO [auto_gptq.quantization.gptq] avg loss: 4.066518783569336
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| 25 |
+
2023-07-21 16:54:54 INFO [auto_gptq.modeling._base] Quantizing self_attention.dense in layer 2/32...
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| 26 |
+
2023-07-21 16:54:55 INFO [auto_gptq.quantization.gptq] duration: 0.8285796642303467
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| 27 |
+
2023-07-21 16:54:55 INFO [auto_gptq.quantization.gptq] avg loss: 0.2558078169822693
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| 28 |
+
2023-07-21 16:55:25 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_h_to_4h in layer 2/32...
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| 29 |
+
2023-07-21 16:55:25 INFO [auto_gptq.quantization.gptq] duration: 0.8859198093414307
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| 30 |
+
2023-07-21 16:55:25 INFO [auto_gptq.quantization.gptq] avg loss: 16.571727752685547
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| 31 |
+
2023-07-21 16:55:26 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_4h_to_h in layer 2/32...
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| 32 |
+
2023-07-21 16:55:29 INFO [auto_gptq.quantization.gptq] duration: 3.86962890625
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| 33 |
+
2023-07-21 16:55:29 INFO [auto_gptq.quantization.gptq] avg loss: 0.34605544805526733
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| 34 |
+
2023-07-21 16:55:30 INFO [auto_gptq.modeling._base] Start quantizing layer 3/32
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| 35 |
+
2023-07-21 16:55:30 INFO [auto_gptq.modeling._base] Quantizing self_attention.query_key_value in layer 3/32...
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| 36 |
+
2023-07-21 16:55:30 INFO [auto_gptq.quantization.gptq] duration: 0.8118832111358643
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| 37 |
+
2023-07-21 16:55:30 INFO [auto_gptq.quantization.gptq] avg loss: 5.4185943603515625
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| 38 |
+
2023-07-21 16:55:30 INFO [auto_gptq.modeling._base] Quantizing self_attention.dense in layer 3/32...
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| 39 |
+
2023-07-21 16:55:31 INFO [auto_gptq.quantization.gptq] duration: 0.8096959590911865
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| 40 |
+
2023-07-21 16:55:31 INFO [auto_gptq.quantization.gptq] avg loss: 0.22585009038448334
|
| 41 |
+
2023-07-21 16:55:31 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_h_to_4h in layer 3/32...
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| 42 |
+
2023-07-21 16:55:32 INFO [auto_gptq.quantization.gptq] duration: 0.8473665714263916
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| 43 |
+
2023-07-21 16:55:32 INFO [auto_gptq.quantization.gptq] avg loss: 27.050426483154297
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| 44 |
+
2023-07-21 16:55:32 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_4h_to_h in layer 3/32...
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| 45 |
+
2023-07-21 16:55:36 INFO [auto_gptq.quantization.gptq] duration: 3.8430850505828857
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| 46 |
+
2023-07-21 16:55:36 INFO [auto_gptq.quantization.gptq] avg loss: 0.6839203834533691
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| 47 |
+
2023-07-21 16:55:36 INFO [auto_gptq.modeling._base] Start quantizing layer 4/32
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| 48 |
+
2023-07-21 16:55:36 INFO [auto_gptq.modeling._base] Quantizing self_attention.query_key_value in layer 4/32...
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| 49 |
+
2023-07-21 16:55:37 INFO [auto_gptq.quantization.gptq] duration: 0.7948899269104004
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| 50 |
+
2023-07-21 16:55:37 INFO [auto_gptq.quantization.gptq] avg loss: 6.523550987243652
|
| 51 |
+
2023-07-21 16:55:37 INFO [auto_gptq.modeling._base] Quantizing self_attention.dense in layer 4/32...
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| 52 |
+
2023-07-21 16:55:38 INFO [auto_gptq.quantization.gptq] duration: 0.7990512847900391
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| 53 |
+
2023-07-21 16:55:38 INFO [auto_gptq.quantization.gptq] avg loss: 0.21638213098049164
|
| 54 |
+
2023-07-21 16:55:38 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_h_to_4h in layer 4/32...
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| 55 |
+
2023-07-21 16:55:39 INFO [auto_gptq.quantization.gptq] duration: 0.8403058052062988
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| 56 |
+
2023-07-21 16:55:39 INFO [auto_gptq.quantization.gptq] avg loss: 36.57025146484375
|
| 57 |
+
2023-07-21 16:55:39 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_4h_to_h in layer 4/32...
|
| 58 |
+
2023-07-21 16:55:43 INFO [auto_gptq.quantization.gptq] duration: 3.856529474258423
|
| 59 |
+
2023-07-21 16:55:43 INFO [auto_gptq.quantization.gptq] avg loss: 9.424503326416016
|
| 60 |
+
2023-07-21 16:55:43 INFO [auto_gptq.modeling._base] Start quantizing layer 5/32
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| 61 |
+
2023-07-21 16:55:43 INFO [auto_gptq.modeling._base] Quantizing self_attention.query_key_value in layer 5/32...
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| 62 |
+
2023-07-21 16:55:44 INFO [auto_gptq.quantization.gptq] duration: 0.7926647663116455
|
| 63 |
+
2023-07-21 16:55:44 INFO [auto_gptq.quantization.gptq] avg loss: 6.277029037475586
|
| 64 |
+
2023-07-21 16:55:44 INFO [auto_gptq.modeling._base] Quantizing self_attention.dense in layer 5/32...
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| 65 |
+
2023-07-21 16:55:44 INFO [auto_gptq.quantization.gptq] duration: 0.7987856864929199
|
| 66 |
+
2023-07-21 16:55:44 INFO [auto_gptq.quantization.gptq] avg loss: 0.1324760764837265
|
| 67 |
+
2023-07-21 16:55:44 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_h_to_4h in layer 5/32...
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2023-07-21 16:55:45 INFO [auto_gptq.quantization.gptq] duration: 0.8394050598144531
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+
2023-07-21 16:55:45 INFO [auto_gptq.quantization.gptq] avg loss: 36.26388168334961
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2023-07-21 16:55:45 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_4h_to_h in layer 5/32...
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2023-07-21 16:55:49 INFO [auto_gptq.quantization.gptq] duration: 3.849104166030884
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+
2023-07-21 16:55:49 INFO [auto_gptq.quantization.gptq] avg loss: 2.376619338989258
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+
2023-07-21 16:55:49 INFO [auto_gptq.modeling._base] Start quantizing layer 6/32
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2023-07-21 16:55:49 INFO [auto_gptq.modeling._base] Quantizing self_attention.query_key_value in layer 6/32...
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2023-07-21 16:55:50 INFO [auto_gptq.quantization.gptq] avg loss: 8.479263305664062
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2023-07-21 16:55:50 INFO [auto_gptq.modeling._base] Quantizing self_attention.dense in layer 6/32...
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+
2023-07-21 16:55:51 INFO [auto_gptq.quantization.gptq] avg loss: 0.14170163869857788
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2023-07-21 16:56:21 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_h_to_4h in layer 6/32...
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+
2023-07-21 16:56:22 INFO [auto_gptq.quantization.gptq] avg loss: 42.756919860839844
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2023-07-21 16:56:22 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_4h_to_h in layer 6/32...
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2023-07-21 16:56:25 INFO [auto_gptq.quantization.gptq] duration: 3.8685550689697266
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2023-07-21 16:56:25 INFO [auto_gptq.quantization.gptq] avg loss: 0.8117952346801758
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2023-07-21 16:56:26 INFO [auto_gptq.modeling._base] Start quantizing layer 7/32
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2023-07-21 16:56:26 INFO [auto_gptq.modeling._base] Quantizing self_attention.query_key_value in layer 7/32...
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2023-07-21 16:56:26 INFO [auto_gptq.quantization.gptq] avg loss: 7.019394397735596
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2023-07-21 16:56:26 INFO [auto_gptq.modeling._base] Quantizing self_attention.dense in layer 7/32...
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+
2023-07-21 16:56:27 INFO [auto_gptq.quantization.gptq] avg loss: 0.21443051099777222
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2023-07-21 16:56:27 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_h_to_4h in layer 7/32...
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2023-07-21 16:56:28 INFO [auto_gptq.quantization.gptq] avg loss: 39.33504104614258
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2023-07-21 16:56:28 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_4h_to_h in layer 7/32...
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2023-07-21 16:56:32 INFO [auto_gptq.quantization.gptq] avg loss: 0.9214520454406738
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2023-07-21 16:56:32 INFO [auto_gptq.modeling._base] Start quantizing layer 8/32
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2023-07-21 16:56:32 INFO [auto_gptq.modeling._base] Quantizing self_attention.query_key_value in layer 8/32...
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2023-07-21 16:56:33 INFO [auto_gptq.quantization.gptq] avg loss: 7.602280616760254
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2023-07-21 16:56:33 INFO [auto_gptq.modeling._base] Quantizing self_attention.dense in layer 8/32...
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2023-07-21 16:56:34 INFO [auto_gptq.quantization.gptq] avg loss: 0.11391645669937134
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2023-07-21 16:56:34 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_h_to_4h in layer 8/32...
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2023-07-21 16:56:35 INFO [auto_gptq.quantization.gptq] avg loss: 34.74957275390625
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2023-07-21 16:56:35 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_4h_to_h in layer 8/32...
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2023-07-21 16:56:39 INFO [auto_gptq.quantization.gptq] avg loss: 1.1289432048797607
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2023-07-21 16:56:39 INFO [auto_gptq.modeling._base] Start quantizing layer 9/32
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2023-07-21 16:56:39 INFO [auto_gptq.modeling._base] Quantizing self_attention.query_key_value in layer 9/32...
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2023-07-21 16:56:40 INFO [auto_gptq.quantization.gptq] avg loss: 6.806826591491699
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2023-07-21 16:56:40 INFO [auto_gptq.modeling._base] Quantizing self_attention.dense in layer 9/32...
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2023-07-21 16:56:41 INFO [auto_gptq.quantization.gptq] avg loss: 0.2318212240934372
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2023-07-21 16:56:41 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_h_to_4h in layer 9/32...
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2023-07-21 16:56:41 INFO [auto_gptq.quantization.gptq] avg loss: 35.324676513671875
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2023-07-21 16:56:41 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_4h_to_h in layer 9/32...
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2023-07-21 16:56:45 INFO [auto_gptq.quantization.gptq] duration: 3.8630259037017822
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2023-07-21 16:56:45 INFO [auto_gptq.quantization.gptq] avg loss: 1.4622347354888916
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2023-07-21 16:56:45 INFO [auto_gptq.modeling._base] Start quantizing layer 10/32
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2023-07-21 16:56:46 INFO [auto_gptq.modeling._base] Quantizing self_attention.query_key_value in layer 10/32...
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2023-07-21 16:56:46 INFO [auto_gptq.quantization.gptq] duration: 0.8029708862304688
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2023-07-21 16:56:46 INFO [auto_gptq.quantization.gptq] avg loss: 6.056252956390381
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2023-07-21 16:56:46 INFO [auto_gptq.modeling._base] Quantizing self_attention.dense in layer 10/32...
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2023-07-21 16:56:47 INFO [auto_gptq.quantization.gptq] avg loss: 1.092197060585022
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2023-07-21 16:56:47 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_h_to_4h in layer 10/32...
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+
2023-07-21 16:56:48 INFO [auto_gptq.quantization.gptq] avg loss: 30.71457290649414
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2023-07-21 16:56:48 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_4h_to_h in layer 10/32...
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2023-07-21 16:56:52 INFO [auto_gptq.quantization.gptq] avg loss: 1.2208330631256104
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2023-07-21 16:56:52 INFO [auto_gptq.modeling._base] Start quantizing layer 11/32
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2023-07-21 16:56:52 INFO [auto_gptq.modeling._base] Quantizing self_attention.query_key_value in layer 11/32...
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2023-07-21 16:56:53 INFO [auto_gptq.quantization.gptq] duration: 0.814570426940918
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2023-07-21 16:56:53 INFO [auto_gptq.quantization.gptq] avg loss: 6.145627021789551
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2023-07-21 16:56:53 INFO [auto_gptq.modeling._base] Quantizing self_attention.dense in layer 11/32...
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+
2023-07-21 16:56:54 INFO [auto_gptq.quantization.gptq] avg loss: 0.24324843287467957
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2023-07-21 16:56:54 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_h_to_4h in layer 11/32...
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+
2023-07-21 16:56:55 INFO [auto_gptq.quantization.gptq] avg loss: 30.847026824951172
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2023-07-21 16:56:55 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_4h_to_h in layer 11/32...
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2023-07-21 16:56:58 INFO [auto_gptq.quantization.gptq] avg loss: 1.3961751461029053
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2023-07-21 16:57:26 INFO [auto_gptq.modeling._base] Start quantizing layer 12/32
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2023-07-21 16:57:26 INFO [auto_gptq.modeling._base] Quantizing self_attention.query_key_value in layer 12/32...
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2023-07-21 16:57:27 INFO [auto_gptq.quantization.gptq] duration: 0.7964096069335938
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2023-07-21 16:57:27 INFO [auto_gptq.quantization.gptq] avg loss: 6.053964614868164
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2023-07-21 16:57:27 INFO [auto_gptq.modeling._base] Quantizing self_attention.dense in layer 12/32...
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2023-07-21 16:57:28 INFO [auto_gptq.quantization.gptq] avg loss: 0.2671034336090088
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2023-07-21 16:57:28 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_h_to_4h in layer 12/32...
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+
2023-07-21 16:57:29 INFO [auto_gptq.quantization.gptq] avg loss: 29.729408264160156
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2023-07-21 16:57:29 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_4h_to_h in layer 12/32...
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2023-07-21 16:57:33 INFO [auto_gptq.quantization.gptq] avg loss: 1.495622158050537
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2023-07-21 16:57:33 INFO [auto_gptq.modeling._base] Start quantizing layer 13/32
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2023-07-21 16:57:33 INFO [auto_gptq.modeling._base] Quantizing self_attention.query_key_value in layer 13/32...
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2023-07-21 16:57:34 INFO [auto_gptq.quantization.gptq] avg loss: 5.408998489379883
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2023-07-21 16:57:34 INFO [auto_gptq.modeling._base] Quantizing self_attention.dense in layer 13/32...
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2023-07-21 16:57:34 INFO [auto_gptq.quantization.gptq] avg loss: 0.5066410303115845
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2023-07-21 16:57:34 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_h_to_4h in layer 13/32...
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2023-07-21 16:57:35 INFO [auto_gptq.quantization.gptq] avg loss: 27.790515899658203
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2023-07-21 16:57:35 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_4h_to_h in layer 13/32...
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2023-07-21 16:57:39 INFO [auto_gptq.quantization.gptq] avg loss: 1.3019633293151855
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2023-07-21 16:57:39 INFO [auto_gptq.modeling._base] Start quantizing layer 14/32
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2023-07-21 16:57:40 INFO [auto_gptq.quantization.gptq] avg loss: 6.027165412902832
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2023-07-21 16:57:40 INFO [auto_gptq.modeling._base] Quantizing self_attention.dense in layer 14/32...
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2023-07-21 16:57:41 INFO [auto_gptq.quantization.gptq] avg loss: 0.28969255089759827
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2023-07-21 16:57:41 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_h_to_4h in layer 14/32...
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+
2023-07-21 16:57:42 INFO [auto_gptq.quantization.gptq] avg loss: 28.996891021728516
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2023-07-21 16:57:42 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_4h_to_h in layer 14/32...
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2023-07-21 16:57:46 INFO [auto_gptq.quantization.gptq] avg loss: 1.6258554458618164
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2023-07-21 16:57:46 INFO [auto_gptq.modeling._base] Start quantizing layer 15/32
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2023-07-21 16:57:47 INFO [auto_gptq.quantization.gptq] avg loss: 5.937747001647949
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2023-07-21 16:57:48 INFO [auto_gptq.quantization.gptq] avg loss: 0.3830963373184204
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2023-07-21 16:57:48 INFO [auto_gptq.quantization.gptq] avg loss: 30.339778900146484
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2023-07-21 16:57:52 INFO [auto_gptq.quantization.gptq] avg loss: 1.618453025817871
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2023-07-21 16:57:52 INFO [auto_gptq.modeling._base] Start quantizing layer 16/32
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2023-07-21 16:57:53 INFO [auto_gptq.quantization.gptq] avg loss: 5.992144584655762
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2023-07-21 16:57:54 INFO [auto_gptq.quantization.gptq] avg loss: 0.3652211129665375
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2023-07-21 16:57:55 INFO [auto_gptq.quantization.gptq] avg loss: 29.359691619873047
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2023-07-21 16:57:59 INFO [auto_gptq.quantization.gptq] avg loss: 1.8666539192199707
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2023-07-21 16:57:59 INFO [auto_gptq.modeling._base] Start quantizing layer 17/32
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2023-07-21 16:58:00 INFO [auto_gptq.quantization.gptq] avg loss: 6.463171482086182
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2023-07-21 16:58:01 INFO [auto_gptq.quantization.gptq] avg loss: 0.24540238082408905
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2023-07-21 16:58:02 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_4h_to_h in layer 17/32...
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2023-07-21 16:58:05 INFO [auto_gptq.quantization.gptq] avg loss: 1.957414150238037
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2023-07-21 16:58:06 INFO [auto_gptq.modeling._base] Start quantizing layer 18/32
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2023-07-21 16:58:06 INFO [auto_gptq.modeling._base] Quantizing self_attention.query_key_value in layer 18/32...
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2023-07-21 16:58:07 INFO [auto_gptq.quantization.gptq] avg loss: 6.510787010192871
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2023-07-21 16:58:07 INFO [auto_gptq.quantization.gptq] avg loss: 0.3201957941055298
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2023-07-21 16:58:07 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_h_to_4h in layer 18/32...
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2023-07-21 16:58:08 INFO [auto_gptq.quantization.gptq] avg loss: 31.26324462890625
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2023-07-21 16:58:08 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_4h_to_h in layer 18/32...
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2023-07-21 16:58:12 INFO [auto_gptq.quantization.gptq] avg loss: 2.0843615531921387
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2023-07-21 16:58:12 INFO [auto_gptq.modeling._base] Start quantizing layer 19/32
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2023-07-21 16:58:13 INFO [auto_gptq.quantization.gptq] avg loss: 6.686659812927246
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2023-07-21 16:58:13 INFO [auto_gptq.modeling._base] Quantizing self_attention.dense in layer 19/32...
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2023-07-21 16:58:14 INFO [auto_gptq.quantization.gptq] avg loss: 0.3053201138973236
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2023-07-21 16:58:14 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_h_to_4h in layer 19/32...
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2023-07-21 16:58:15 INFO [auto_gptq.quantization.gptq] avg loss: 31.97283935546875
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2023-07-21 16:58:15 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_4h_to_h in layer 19/32...
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2023-07-21 16:58:19 INFO [auto_gptq.quantization.gptq] avg loss: 2.382962703704834
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2023-07-21 16:58:19 INFO [auto_gptq.modeling._base] Start quantizing layer 20/32
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2023-07-21 16:58:19 INFO [auto_gptq.modeling._base] Quantizing self_attention.query_key_value in layer 20/32...
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2023-07-21 16:58:20 INFO [auto_gptq.quantization.gptq] avg loss: 6.721341133117676
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2023-07-21 16:58:20 INFO [auto_gptq.modeling._base] Quantizing self_attention.dense in layer 20/32...
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2023-07-21 16:58:20 INFO [auto_gptq.quantization.gptq] avg loss: 0.5635891556739807
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2023-07-21 16:58:20 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_h_to_4h in layer 20/32...
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+
2023-07-21 16:58:21 INFO [auto_gptq.quantization.gptq] avg loss: 33.371273040771484
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2023-07-21 16:58:21 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_4h_to_h in layer 20/32...
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2023-07-21 16:58:25 INFO [auto_gptq.quantization.gptq] avg loss: 2.5540378093719482
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2023-07-21 16:58:25 INFO [auto_gptq.modeling._base] Start quantizing layer 21/32
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2023-07-21 16:58:25 INFO [auto_gptq.modeling._base] Quantizing self_attention.query_key_value in layer 21/32...
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2023-07-21 16:58:26 INFO [auto_gptq.quantization.gptq] avg loss: 7.383816242218018
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2023-07-21 16:58:26 INFO [auto_gptq.modeling._base] Quantizing self_attention.dense in layer 21/32...
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+
2023-07-21 16:58:27 INFO [auto_gptq.quantization.gptq] avg loss: 0.2988166809082031
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2023-07-21 16:58:27 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_h_to_4h in layer 21/32...
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+
2023-07-21 16:58:28 INFO [auto_gptq.quantization.gptq] avg loss: 34.46820068359375
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2023-07-21 16:58:28 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_4h_to_h in layer 21/32...
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2023-07-21 16:58:32 INFO [auto_gptq.quantization.gptq] duration: 3.8698837757110596
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+
2023-07-21 16:58:32 INFO [auto_gptq.quantization.gptq] avg loss: 2.538421154022217
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+
2023-07-21 16:58:32 INFO [auto_gptq.modeling._base] Start quantizing layer 22/32
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2023-07-21 16:58:32 INFO [auto_gptq.modeling._base] Quantizing self_attention.query_key_value in layer 22/32...
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2023-07-21 16:58:33 INFO [auto_gptq.quantization.gptq] duration: 0.7975707054138184
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+
2023-07-21 16:58:33 INFO [auto_gptq.quantization.gptq] avg loss: 7.026803970336914
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+
2023-07-21 16:58:33 INFO [auto_gptq.modeling._base] Quantizing self_attention.dense in layer 22/32...
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+
2023-07-21 16:58:34 INFO [auto_gptq.quantization.gptq] duration: 0.7988865375518799
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+
2023-07-21 16:58:34 INFO [auto_gptq.quantization.gptq] avg loss: 0.5440877079963684
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+
2023-07-21 16:58:34 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_h_to_4h in layer 22/32...
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2023-07-21 16:58:35 INFO [auto_gptq.quantization.gptq] duration: 0.847116231918335
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+
2023-07-21 16:58:35 INFO [auto_gptq.quantization.gptq] avg loss: 33.8814582824707
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+
2023-07-21 16:58:35 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_4h_to_h in layer 22/32...
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2023-07-21 16:58:38 INFO [auto_gptq.quantization.gptq] duration: 3.851823091506958
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+
2023-07-21 16:58:38 INFO [auto_gptq.quantization.gptq] avg loss: 2.612248182296753
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+
2023-07-21 16:58:39 INFO [auto_gptq.modeling._base] Start quantizing layer 23/32
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2023-07-21 16:58:39 INFO [auto_gptq.modeling._base] Quantizing self_attention.query_key_value in layer 23/32...
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+
2023-07-21 16:58:39 INFO [auto_gptq.quantization.gptq] duration: 0.7956225872039795
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+
2023-07-21 16:58:39 INFO [auto_gptq.quantization.gptq] avg loss: 7.3217453956604
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+
2023-07-21 16:58:39 INFO [auto_gptq.modeling._base] Quantizing self_attention.dense in layer 23/32...
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+
2023-07-21 16:58:40 INFO [auto_gptq.quantization.gptq] duration: 0.8155944347381592
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+
2023-07-21 16:58:40 INFO [auto_gptq.quantization.gptq] avg loss: 0.3978100121021271
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+
2023-07-21 16:58:40 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_h_to_4h in layer 23/32...
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2023-07-21 16:58:41 INFO [auto_gptq.quantization.gptq] duration: 0.8472270965576172
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+
2023-07-21 16:58:41 INFO [auto_gptq.quantization.gptq] avg loss: 33.613494873046875
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+
2023-07-21 16:58:41 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_4h_to_h in layer 23/32...
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+
2023-07-21 16:58:45 INFO [auto_gptq.quantization.gptq] duration: 3.877121925354004
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+
2023-07-21 16:58:45 INFO [auto_gptq.quantization.gptq] avg loss: 3.0234107971191406
|
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+
2023-07-21 16:58:45 INFO [auto_gptq.modeling._base] Start quantizing layer 24/32
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+
2023-07-21 16:58:45 INFO [auto_gptq.modeling._base] Quantizing self_attention.query_key_value in layer 24/32...
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2023-07-21 16:58:46 INFO [auto_gptq.quantization.gptq] duration: 0.8478920459747314
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+
2023-07-21 16:58:46 INFO [auto_gptq.quantization.gptq] avg loss: 7.490325927734375
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+
2023-07-21 16:58:46 INFO [auto_gptq.modeling._base] Quantizing self_attention.dense in layer 24/32...
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+
2023-07-21 16:58:47 INFO [auto_gptq.quantization.gptq] duration: 0.8023700714111328
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+
2023-07-21 16:58:47 INFO [auto_gptq.quantization.gptq] avg loss: 0.6462091207504272
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+
2023-07-21 16:58:47 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_h_to_4h in layer 24/32...
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2023-07-21 16:58:48 INFO [auto_gptq.quantization.gptq] duration: 0.8271210193634033
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+
2023-07-21 16:58:48 INFO [auto_gptq.quantization.gptq] avg loss: 35.156715393066406
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2023-07-21 16:58:48 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_4h_to_h in layer 24/32...
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+
2023-07-21 16:58:52 INFO [auto_gptq.quantization.gptq] duration: 3.8558664321899414
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+
2023-07-21 16:58:52 INFO [auto_gptq.quantization.gptq] avg loss: 3.4150047302246094
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+
2023-07-21 16:58:52 INFO [auto_gptq.modeling._base] Start quantizing layer 25/32
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2023-07-21 16:58:52 INFO [auto_gptq.modeling._base] Quantizing self_attention.query_key_value in layer 25/32...
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2023-07-21 16:58:53 INFO [auto_gptq.quantization.gptq] duration: 0.804887056350708
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+
2023-07-21 16:58:53 INFO [auto_gptq.quantization.gptq] avg loss: 7.842990875244141
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2023-07-21 16:58:53 INFO [auto_gptq.modeling._base] Quantizing self_attention.dense in layer 25/32...
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+
2023-07-21 16:58:53 INFO [auto_gptq.quantization.gptq] avg loss: 0.5917433500289917
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+
2023-07-21 16:58:53 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_h_to_4h in layer 25/32...
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+
2023-07-21 16:58:54 INFO [auto_gptq.quantization.gptq] duration: 0.8256046772003174
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+
2023-07-21 16:58:54 INFO [auto_gptq.quantization.gptq] avg loss: 36.299095153808594
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+
2023-07-21 16:58:54 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_4h_to_h in layer 25/32...
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+
2023-07-21 16:58:58 INFO [auto_gptq.quantization.gptq] duration: 3.86680006980896
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+
2023-07-21 16:58:58 INFO [auto_gptq.quantization.gptq] avg loss: 4.292586326599121
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+
2023-07-21 16:58:58 INFO [auto_gptq.modeling._base] Start quantizing layer 26/32
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2023-07-21 16:58:58 INFO [auto_gptq.modeling._base] Quantizing self_attention.query_key_value in layer 26/32...
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+
2023-07-21 16:58:59 INFO [auto_gptq.quantization.gptq] duration: 0.7961215972900391
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+
2023-07-21 16:58:59 INFO [auto_gptq.quantization.gptq] avg loss: 8.335006713867188
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+
2023-07-21 16:58:59 INFO [auto_gptq.modeling._base] Quantizing self_attention.dense in layer 26/32...
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+
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+
2023-07-21 16:59:00 INFO [auto_gptq.quantization.gptq] avg loss: 0.5929185152053833
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+
2023-07-21 16:59:00 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_h_to_4h in layer 26/32...
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+
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+
2023-07-21 16:59:01 INFO [auto_gptq.quantization.gptq] avg loss: 39.31059265136719
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+
2023-07-21 16:59:01 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_4h_to_h in layer 26/32...
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+
2023-07-21 16:59:05 INFO [auto_gptq.quantization.gptq] duration: 3.859668731689453
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+
2023-07-21 16:59:05 INFO [auto_gptq.quantization.gptq] avg loss: 5.2629475593566895
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+
2023-07-21 16:59:05 INFO [auto_gptq.modeling._base] Start quantizing layer 27/32
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+
2023-07-21 16:59:05 INFO [auto_gptq.modeling._base] Quantizing self_attention.query_key_value in layer 27/32...
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+
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+
2023-07-21 16:59:06 INFO [auto_gptq.quantization.gptq] avg loss: 8.194433212280273
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+
2023-07-21 16:59:06 INFO [auto_gptq.modeling._base] Quantizing self_attention.dense in layer 27/32...
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+
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+
2023-07-21 16:59:07 INFO [auto_gptq.quantization.gptq] avg loss: 0.7090796828269958
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+
2023-07-21 16:59:07 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_h_to_4h in layer 27/32...
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+
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+
2023-07-21 16:59:07 INFO [auto_gptq.quantization.gptq] avg loss: 39.4634895324707
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+
2023-07-21 16:59:07 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_4h_to_h in layer 27/32...
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+
2023-07-21 16:59:11 INFO [auto_gptq.quantization.gptq] duration: 3.878126859664917
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+
2023-07-21 16:59:11 INFO [auto_gptq.quantization.gptq] avg loss: 6.581557750701904
|
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+
2023-07-21 16:59:11 INFO [auto_gptq.modeling._base] Start quantizing layer 28/32
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+
2023-07-21 16:59:12 INFO [auto_gptq.modeling._base] Quantizing self_attention.query_key_value in layer 28/32...
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+
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+
2023-07-21 16:59:12 INFO [auto_gptq.quantization.gptq] avg loss: 9.201988220214844
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+
2023-07-21 16:59:12 INFO [auto_gptq.modeling._base] Quantizing self_attention.dense in layer 28/32...
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+
2023-07-21 16:59:13 INFO [auto_gptq.quantization.gptq] duration: 0.8018836975097656
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+
2023-07-21 16:59:13 INFO [auto_gptq.quantization.gptq] avg loss: 1.193915605545044
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+
2023-07-21 16:59:13 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_h_to_4h in layer 28/32...
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+
2023-07-21 16:59:14 INFO [auto_gptq.quantization.gptq] duration: 0.832056999206543
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+
2023-07-21 16:59:14 INFO [auto_gptq.quantization.gptq] avg loss: 39.874481201171875
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+
2023-07-21 16:59:14 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_4h_to_h in layer 28/32...
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+
2023-07-21 16:59:18 INFO [auto_gptq.quantization.gptq] duration: 3.8739585876464844
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+
2023-07-21 16:59:18 INFO [auto_gptq.quantization.gptq] avg loss: 7.8150634765625
|
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+
2023-07-21 16:59:18 INFO [auto_gptq.modeling._base] Start quantizing layer 29/32
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+
2023-07-21 16:59:18 INFO [auto_gptq.modeling._base] Quantizing self_attention.query_key_value in layer 29/32...
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+
2023-07-21 16:59:19 INFO [auto_gptq.quantization.gptq] duration: 0.7971282005310059
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+
2023-07-21 16:59:19 INFO [auto_gptq.quantization.gptq] avg loss: 8.788995742797852
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+
2023-07-21 16:59:19 INFO [auto_gptq.modeling._base] Quantizing self_attention.dense in layer 29/32...
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+
2023-07-21 16:59:20 INFO [auto_gptq.quantization.gptq] duration: 0.8014233112335205
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+
2023-07-21 16:59:20 INFO [auto_gptq.quantization.gptq] avg loss: 0.9004578590393066
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+
2023-07-21 16:59:20 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_h_to_4h in layer 29/32...
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+
2023-07-21 16:59:21 INFO [auto_gptq.quantization.gptq] duration: 0.8585555553436279
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+
2023-07-21 16:59:21 INFO [auto_gptq.quantization.gptq] avg loss: 40.52891159057617
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+
2023-07-21 16:59:21 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_4h_to_h in layer 29/32...
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+
2023-07-21 16:59:24 INFO [auto_gptq.quantization.gptq] duration: 3.886247396469116
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+
2023-07-21 16:59:24 INFO [auto_gptq.quantization.gptq] avg loss: 7.627683639526367
|
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+
2023-07-21 16:59:25 INFO [auto_gptq.modeling._base] Start quantizing layer 30/32
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+
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2023-07-21 16:59:26 INFO [auto_gptq.quantization.gptq] avg loss: 1.0838208198547363
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2023-07-21 16:59:33 INFO [auto_gptq.quantization.gptq] avg loss: 0.6395642757415771
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2023-07-21 16:59:38 INFO [auto_gptq.modeling._base] Start quantizing layer 32/32
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2023-07-21 16:59:39 INFO [auto_gptq.quantization.gptq] avg loss: 6.566901206970215
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2023-07-21 17:00:09 INFO [auto_gptq.quantization.gptq] avg loss: 0.2703491747379303
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2023-07-21 17:00:09 INFO [auto_gptq.modeling._base] Quantizing mlp.dense_h_to_4h in layer 32/32...
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2023-07-21 17:00:10 INFO [auto_gptq.quantization.gptq] avg loss: 33.582237243652344
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2023-07-21 17:00:14 INFO [auto_gptq.quantization.gptq] avg loss: 26.30276107788086
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2023-07-21 17:00:14 INFO [auto_gptq.modeling._utils] Packing model...
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| 544 |
+
2023-07-21 17:02:10 INFO [auto_gptq.modeling._utils] transformer.h.29.mlp.dense_h_to_4h
|
| 545 |
+
2023-07-21 17:02:11 INFO [auto_gptq.modeling._utils] transformer.h.30.self_attention.dense
|
| 546 |
+
2023-07-21 17:02:12 INFO [auto_gptq.modeling._utils] transformer.h.30.self_attention.query_key_value
|
| 547 |
+
2023-07-21 17:02:12 INFO [auto_gptq.modeling._utils] transformer.h.30.mlp.dense_4h_to_h
|
| 548 |
+
2023-07-21 17:02:14 INFO [auto_gptq.modeling._utils] transformer.h.30.mlp.dense_h_to_4h
|
| 549 |
+
2023-07-21 17:02:15 INFO [auto_gptq.modeling._utils] transformer.h.31.self_attention.dense
|
| 550 |
+
2023-07-21 17:02:16 INFO [auto_gptq.modeling._utils] transformer.h.31.self_attention.query_key_value
|
| 551 |
+
2023-07-21 17:02:16 INFO [auto_gptq.modeling._utils] transformer.h.31.mlp.dense_4h_to_h
|
| 552 |
+
2023-07-21 17:02:18 INFO [auto_gptq.modeling._utils] transformer.h.31.mlp.dense_h_to_4h
|
| 553 |
+
2023-07-21 17:02:19 INFO [auto_gptq.modeling._utils] Model packed.
|
| 554 |
+
```
|