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EXL3 quants of [Phi-4-mini-instruct](https://huggingface.co/microsoft/Phi-4-mini-instruct) |
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At the moment these are all converted with 8-bpw output layers. Currently investigating why there's a small-but-noticeable drop in accuracy at 6-bpw. Likely it has to do with the tied embeddings. |
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[2.00 bits per weight / H8](https://huggingface.co/turboderp/Phi-4-mini-instruct-exl3/tree/2.0bpw) |
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[2.25 bits per weight / H8](https://huggingface.co/turboderp/Phi-4-mini-instruct-exl3/tree/2.25bpw) |
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[2.50 bits per weight / H8](https://huggingface.co/turboderp/Phi-4-mini-instruct-exl3/tree/2.5bpw) |
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[3.00 bits per weight / H8](https://huggingface.co/turboderp/Phi-4-mini-instruct-exl3/tree/3.0bpw) |
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[3.50 bits per weight / H8](https://huggingface.co/turboderp/Phi-4-mini-instruct-exl3/tree/3.5bpw) |
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[4.00 bits per weight / H8](https://huggingface.co/turboderp/Phi-4-mini-instruct-exl3/tree/4.0bpw) |
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[5.00 bits per weight / H8](https://huggingface.co/turboderp/Phi-4-mini-instruct-exl3/tree/5.0bpw) |
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[6.00 bits per weight / H8](https://huggingface.co/turboderp/Phi-4-mini-instruct-exl3/tree/6.0bpw) |
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[8.00 bits per weight / H8](https://huggingface.co/turboderp/Phi-4-mini-instruct-exl3/tree/8.0bpw) |
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