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--- |
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license: apache-2.0 |
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--- |
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```python |
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from awq import AutoAWQForCausalLM |
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from transformers import AutoTokenizer, TextStreamer |
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quant_path = "Moses25/Llama-3-8B-chat-32K-AWQ" |
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# Load model |
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model = AutoAWQForCausalLM.from_quantized(quant_path, fuse_layers=True) |
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tokenizer = AutoTokenizer.from_pretrained(quant_path, trust_remote_code=True) |
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streamer = TextStreamer(tokenizer, skip_prompt=True, skip_special_tokens=True) |
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prompt = "You're standing on the surface of the Earth. "\ |
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"You walk one mile south, one mile west and one mile north. "\ |
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"You end up exactly where you started. Where are you?" |
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chat = [ |
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{"role": "system", "content": "You are a concise assistant that helps answer questions."}, |
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{"role": "user", "content": prompt}, |
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] |
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terminators = [ |
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tokenizer.eos_token_id, |
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tokenizer.convert_tokens_to_ids("<|eot_id|>") |
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] |
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tokens = tokenizer.apply_chat_template( |
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chat, |
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return_tensors="pt" |
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).cuda() |
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# Generate output |
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generation_output = model.generate( |
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tokens, |
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streamer=streamer, |
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max_new_tokens=2048, |
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eos_token_id=terminators |
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) |
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``` |