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EXL2 quants of [Llama-3 70B](https://huggingface.co/NousResearch/Meta-Llama-3-70B)
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[5.00 bits per weight](https://huggingface.co/turboderp/Llama-3-70B-exl2/tree/5.0bpw)
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[measurement.json](https://huggingface.co/turboderp/Llama-3-70B-exl2/blob/main/measurement.json)
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EXL2 quants of [Llama-3 70B](https://huggingface.co/NousResearch/Meta-Llama-3-70B)
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[2.40 bits per weight](https://huggingface.co/turboderp/Llama-3-70B-exl2/tree/2.4bpw)
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[2.80 bits per weight](https://huggingface.co/turboderp/Llama-3-70B-exl2/tree/2.8bpw)
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[3.00 bits per weight](https://huggingface.co/turboderp/Llama-3-70B-exl2/tree/3.0bpw)
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[3.50 bits per weight](https://huggingface.co/turboderp/Llama-3-70B-exl2/tree/3.5bpw)
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[4.00 bits per weight](https://huggingface.co/turboderp/Llama-3-70B-exl2/tree/4.0bpw)
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[4.50 bits per weight](https://huggingface.co/turboderp/Llama-3-70B-exl2/tree/4.5bpw)
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[5.00 bits per weight](https://huggingface.co/turboderp/Llama-3-70B-exl2/tree/5.0bpw)
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[6.00 bits per weight](https://huggingface.co/turboderp/Llama-3-70B-exl2/tree/6.0bpw)
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[measurement.json](https://huggingface.co/turboderp/Llama-3-70B-exl2/blob/main/measurement.json)
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