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--- |
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--- |
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language: |
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- en |
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- zh |
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pipeline_tag: text-generation |
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tags: |
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- gptq |
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- int4 |
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- yi1.5-9B-Chat |
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- pytorch |
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license: apache-2.0 |
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license_name: apache-2.0 |
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license_link: LICENSE |
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--- |
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## About Quantization |
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我们使用modelscope [swift](https://github.com/modelscope/swift/)仓库进行GPTQ 4bit量化. 量化文档可以查看[这里](https://github.com/modelscope/swift/blob/main/docs/source/LLM/LLM%E9%87%8F%E5%8C%96%E6%96%87%E6%A1%A3.md). 量化命令如下: |
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We use the modelscope [swift](https://github.com/modelscope/swift/) repository to perform GPTQ 4bit quantization. Quantization documentation can be found [here](https://github.com/modelscope/swift/blob/main/docs/source_en/LLM/LLM-quantization.md). The quantization command is as follows: |
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```bash |
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# Experimental Environment: A100 |
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swift export \ |
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--quant_bits 4 \ |
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--model_type yi-1_5-9b-chat \ |
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--quant_method gptq \ |
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--dataset alpaca-zh alpaca-en sharegpt-gpt4-mini \ |
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--quant_seqlen 4096 |
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``` |
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Inference: |
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```bash |
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CUDA_VISIBLE_DEVICES=0 swift infer --model_type yi-1_5-9b-chat-gptq-int4 |
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``` |
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SFT: |
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```bash |
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CUDA_VISIBLE_DEVICES=0 swift sft --model_type yi-1_5-9b-chat-gptq-int4 --dataset leetcode-python-en |
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``` |
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Original Model: |
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[YI1.5-9B-Chat](https://modelscope.cn/models/01ai/Yi-1.5-9B-Chat/summary) |
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