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--- |
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inference: false |
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license: other |
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datasets: |
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- ehartford/WizardLM_alpaca_evol_instruct_70k_unfiltered |
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tags: |
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- wizardlm |
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- uncensored |
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- gptq |
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- quantization |
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- auto-gptq |
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- 7b |
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- llama |
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- 4bit |
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--- |
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# Get Started |
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This model should use [AutoGPTQ](https://github.com/PanQiWei/AutoGPTQ) so you need to use `auto-gptq` |
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- `no-act-order` model |
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- 4bit model quantization |
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```py |
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from transformers import AutoTokenizer, pipeline, AutoModelForCausalLM, LlamaForCausalLM, LlamaTokenizer, StoppingCriteria, PreTrainedTokenizerBase |
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from auto_gptq import AutoGPTQForCausalLM |
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|
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model_id = 'seonglae/wizardlm-7b-uncensored-gptq' |
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tokenizer = AutoTokenizer.from_pretrained(model_id, use_fast=True) |
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model = AutoGPTQForCausalLM.from_quantized( |
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model_id, |
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model_basename=model_basename, |
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trust_remote_code=True, |
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device='cuda:0', |
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use_triton=False, |
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use_safetensors=True, |
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) |
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pipe = pipeline( |
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"text-generation", |
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model=model, |
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tokenizer=tokenizer, |
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temperature=0.5, |
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top_p=0.95, |
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max_new_tokens=100, |
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repetition_penalty=1.15, |
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) |
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prompt = "USER: Are you AI?\nASSISTANT:" |
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pipe(prompt) |
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``` |
