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README.md
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@@ -12,27 +12,6 @@ license: apache-2.0
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```
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### Script to AWQ quantization
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```
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from awq import AutoAWQForCausalLM
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from transformers import AutoTokenizer
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model_path = 'PATH_TO Poro-34B'
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quant_path = 'Poro-34B-AWQ'
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quant_config = { "zero_point": True, "q_group_size": 128, "w_bit": 4, "version": "GEMM" }
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# Load model
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model = AutoAWQForCausalLM.from_pretrained(model_path, safetensors=True)
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tokenizer = AutoTokenizer.from_pretrained(model_path, trust_remote_code=True)
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# Quantize
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model.quantize(tokenizer, quant_config=quant_config)
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# Save quantized model
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model.save_quantized(quant_path)
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tokenizer.save_pretrained(quant_path)
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```
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### Generate
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```
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from awq import AutoAWQForCausalLM
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```
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### Generate
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```
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from awq import AutoAWQForCausalLM
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