3bit quantized version of this: https://huggingface.co/ausboss/llama-30b-supercot

GPTQ quantization using https://github.com/0cc4m/GPTQ-for-LLaMa

Made at the request of someone that wanted a 3bit version.  The file is 17% smaller than 4bit non-groupsize, but the wikitext2 ppl is 12% worse.  I don't have a functioning Ooba install so I can't test this myself.

Command used to quantize:  
```python llama.py c:\llama-30b-supercot c4 --wbits 3 --true-sequential --groupsize 128 --save_safetensors 4bit-128g.safetensors```

Evaluation & Score (Lower is better):
* WikiText2: 5.22 (12% worse than 4bit non-groupsize)
* PTB: 19.63 (11% worse than 4bit non-groupsize)
* C4: 6.93 (7% worse than 4bit non-groupsize)

4bit non-groupsize version is here: https://huggingface.co/tsumeone/llama-30b-supercot-4bit-cuda

4bit 128 groupsize version is here: https://huggingface.co/tsumeone/llama-30b-supercot-4bit-128g-cuda
{}
transformers pytorch llama text-generation autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #llama #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

3bit quantized version of this: URL

GPTQ quantization using URL

Made at the request of someone that wanted a 3bit version.  The file is 17% smaller than 4bit non-groupsize, but the wikitext2 ppl is 12% worse.  I don't have a functioning Ooba install so I can't test this myself.

Command used to quantize:  


Evaluation & Score (Lower is better):
* WikiText2: 5.22 (12% worse than 4bit non-groupsize)
* PTB: 19.63 (11% worse than 4bit non-groupsize)
* C4: 6.93 (7% worse than 4bit non-groupsize)

4bit non-groupsize version is here: URL

4bit 128 groupsize version is here: URL
TAGS
#transformers #pytorch #llama #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

TAGS
#transformers #pytorch #llama #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
