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Browse files- .gitattributes +4 -0
- README.md +14 -0
- Yi-1.5-6B-Chat.f16.gguf +3 -0
- Yi-1.5-6B-Chat.q5_k.gguf +3 -0
- Yi-1.5-6B-Chat.q6_k.gguf +3 -0
- Yi-1.5-6B-Chat.q8_0.gguf +3 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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Yi-1.5-6B-Chat.f16.gguf filter=lfs diff=lfs merge=lfs -text
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Yi-1.5-6B-Chat.q5_k.gguf filter=lfs diff=lfs merge=lfs -text
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Yi-1.5-6B-Chat.q6_k.gguf filter=lfs diff=lfs merge=lfs -text
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Yi-1.5-6B-Chat.q8_0.gguf filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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license: mit
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language:
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- en
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---
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My own (ZeroWw) quantizations.
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output and embed tensors quantized to f16.
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all other tensors quantized to q5_k or q6_k.
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Result:
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both f16.q6 and f16.q5 are smaller than q8_0 standard quantization
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and they perform as well as the pure f16.
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Yi-1.5-6B-Chat.f16.gguf
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version https://git-lfs.github.com/spec/v1
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oid sha256:ed2fa5b9cf16c2637040ef2df1552619178ae5045cd85816be11884ed818a966
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size 12124098496
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Yi-1.5-6B-Chat.q5_k.gguf
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version https://git-lfs.github.com/spec/v1
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size 4957736896
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Yi-1.5-6B-Chat.q6_k.gguf
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version https://git-lfs.github.com/spec/v1
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size 5592780736
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Yi-1.5-6B-Chat.q8_0.gguf
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version https://git-lfs.github.com/spec/v1
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oid sha256:a74c44f40ee794eb55b649a25bb1f8d81eb22815830cfde4a7bba74533585235
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size 6933647296
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