lrl-modelcloud
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Update README.md
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README.md
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@@ -23,4 +23,22 @@ This model has been quantized using [GPTQModel](https://github.com/ModelCloud/GP
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- **quant_method**: "gptq"
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- **checkpoint_format**: "gptq"
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- **meta**:
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- **quantizer**: "gptqmodel:0.9.9-dev0"
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- **quant_method**: "gptq"
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- **checkpoint_format**: "gptq"
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- **meta**:
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- **quantizer**: "gptqmodel:0.9.9-dev0"
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**Here is an example:**
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```python
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from transformers import AutoTokenizer
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from gptqmodel import GPTQModel
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model_name = "ModelCloud/Meta-Llama-3.1-8B-Instruct-gptq-4bit"
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prompt = [{"role": "user", "content": "I am in Shanghai, preparing to visit the natural history museum. Can you tell me the best way to"}]
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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model = GPTQModel.from_quantized(model_name)
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inputs = tokenizer.apply_chat_template(prompt, tokenize=False, add_generation_prompt=True)
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outputs = model.generate(prompts=inputs, temperature=0.95, max_length=128)
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print(outputs[0].outputs[0].text)
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```
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