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33 Commits

Author SHA1 Message Date
Wojtab
12212cf6be
LLaVA support (#1487) 2023-04-23 20:32:22 -03:00
oobabooga
7438f4f6ba Change GPTQ triton default settings 2023-04-22 12:27:30 -03:00
USBhost
e1aa9d5173
Support upstream GPTQ once again. (#1451) 2023-04-21 12:43:56 -03:00
sgsdxzy
b57ffc2ec9
Update to support GPTQ triton commit c90adef (#1229) 2023-04-17 01:11:18 -03:00
oobabooga
39099663a0
Add 4-bit LoRA support (#1200) 2023-04-16 23:26:52 -03:00
oobabooga
a75e02de4d Simplify GPTQ_loader.py 2023-04-13 12:13:07 -03:00
oobabooga
ca293bb713 Show a warning if two quantized models are found 2023-04-13 12:04:27 -03:00
oobabooga
fde6d06167 Prioritize names with the groupsize in them 2023-04-13 11:27:03 -03:00
oobabooga
f2bf1a2c9e Add some comments, remove obsolete code 2023-04-13 11:17:32 -03:00
Light
da74cd7c44 Generalized weight search path. 2023-04-13 21:43:32 +08:00
Light
cf58058c33 Change warmup_autotune to a negative switch. 2023-04-13 20:59:49 +08:00
Light
a405064ceb Better dispatch. 2023-04-13 01:48:17 +08:00
Light
f3591ccfa1 Keep minimal change. 2023-04-12 23:26:06 +08:00
oobabooga
8c6155251a More robust 4-bit model loading 2023-04-09 23:19:28 -03:00
oobabooga
ea6e77df72
Make the code more like PEP8 for readability (#862) 2023-04-07 00:15:45 -03:00
EyeDeck
39f3fec913
Broaden GPTQ-for-LLaMA branch support (#820) 2023-04-06 12:16:48 -03:00
oobabooga
3d6cb5ed63 Minor rewrite 2023-04-05 01:21:40 -03:00
oobabooga
f3a2e0b8a9 Disable pre_layer when the model type is not llama 2023-04-05 01:19:26 -03:00
catalpaaa
4ab679480e
allow quantized model to be loaded from model dir (#760) 2023-04-04 23:19:38 -03:00
OWKenobi
ee4547cd34
Detect "vicuna" as llama model type (#772) 2023-04-04 13:23:27 -03:00
oobabooga
1cb9246160 Adapt to the new model names 2023-03-29 21:47:36 -03:00
oobabooga
010b259dde Update documentation 2023-03-28 17:46:00 -03:00
oobabooga
0bec15ebcd Reorder imports 2023-03-28 17:34:15 -03:00
Maya Eary
41ec682834 Disable kernel threshold for gpt-j 2023-03-28 22:45:38 +03:00
Maya Eary
1c075d8d21 Fix typo 2023-03-28 20:43:50 +03:00
Maya Eary
c8207d474f Generalized load_quantized 2023-03-28 20:38:55 +03:00
oobabooga
49c10c5570
Add support for the latest GPTQ models with group-size (#530) 
**Warning: old 4-bit weights will not work anymore!**

See here how to get up to date weights: https://github.com/oobabooga/text-generation-webui/wiki/LLaMA-model#step-2-get-the-pre-converted-weights
 2023-03-26 00:11:33 -03:00
EyeDeck
dcfd866402 Allow loading of .safetensors through GPTQ-for-LLaMa 2023-03-23 21:31:34 -04:00
oobabooga
db4219a340
Update comments 2023-03-20 16:40:08 -03:00
oobabooga
7618f3fe8c
Add -gptq-preload for 4-bit offloading (#460) 
This works in a 4GB card now:

```
python server.py --model llama-7b-hf --gptq-bits 4 --gptq-pre-layer 20
```
 2023-03-20 16:30:56 -03:00
oobabooga
9a3bed50c3
Attempt at fixing 4-bit with CPU offload 2023-03-20 15:11:56 -03:00
askmyteapot
53b6a66beb
Update GPTQ_Loader.py 
Correcting decoder layer for renamed class.
 2023-03-17 18:34:13 +10:00
oobabooga
265ba384b7 Rename a file, add deprecation warning for --load-in-4bit 2023-03-14 07:56:31 -03:00