Quant of https://huggingface.co/junelee/wizard-vicuna-13b tested working with Occam's KoboldAI/GPTQ.

Someone made a Triton quant already here, but it will not work with Occam's KoboldAI/GPTQ fork: https://huggingface.co/fbjr/wizard-vicuna-13b-4bit-128g

Note that this model is fairly heavily censored (in my opinion) and delivers AI-moralizing responses to prompts that Vicuna 1.1 does not complain about.

```python llama.py ./wizard-vicuna-13b c4 --wbits 4 --true-sequential --groupsize 128 --save_safetensors 4bit-128g.safetensors```
{"library_name": "transformers", "pipeline_tag": "text-generation"}
transformers pytorch llama text-generation autotrain_compatible endpoints_compatible has_space text-generation-inference region:us
TAGS
#transformers #pytorch #llama #text-generation #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us 

Quant of URL tested working with Occam's KoboldAI/GPTQ.

Someone made a Triton quant already here, but it will not work with Occam's KoboldAI/GPTQ fork: URL

Note that this model is fairly heavily censored (in my opinion) and delivers AI-moralizing responses to prompts that Vicuna 1.1 does not complain about.


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