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metrics: null |
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Quantized Meta AI's [LLaMA](https://arxiv.org/abs/2302.13971) in 4bit with the help of [GPTQ](https://arxiv.org/abs/2210.17323v2) algorithm v2. |
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- [**llama13b-4bit-ts-ao-g128-v2.safetensors**](https://huggingface.co/sardukar/llama13b-4bit-v2/blob/main/llama13b-4bit-ts-ao-g128-v2.safetensors) |
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GPTQ implementation - https://github.com/qwopqwop200/GPTQ-for-LLaMa/tree/49efe0b67db4b40eac2ae963819ebc055da64074 |
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Conversion process: |
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```sh |
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CUDA_VISIBLE_DEVICES=0 python llama.py ./llama-13b c4 --wbits 4 --true-sequential --act-order --groupsize 128 --save_safetensors ./q4/llama13b-4bit-ts-ao-g128-v2.safetensors |
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``` |
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- [llama13b-4bit-v2.safetensors](https://huggingface.co/sardukar/llama13b-4bit-v2/blob/main/llama13b-4bit-v2.safetensors) |
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GPTQ implementation - https://github.com/qwopqwop200/GPTQ-for-LLaMa/tree/841feedde876785bc8022ca48fd9c3ff626587e2 |
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**Note:** This model will fail to load with current GPTQ-for-LLaMa implementation |
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Conversion process |
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```sh |
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CUDA_VISIBLE_DEVICES=0 python llama.py ./llama-13b c4 --wbits 4 --true-sequential --act-order --save_safetensors ./q4/llama13b-4bit-v2.safetensors |
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``` |
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