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.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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llama3-8B-DarkIdol-2.2-Uncensored-1048K.f16.gguf filter=lfs diff=lfs merge=lfs -text
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llama3-8B-DarkIdol-2.2-Uncensored-1048K.q5_k.gguf filter=lfs diff=lfs merge=lfs -text
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llama3-8B-DarkIdol-2.2-Uncensored-1048K.q6_k.gguf filter=lfs diff=lfs merge=lfs -text
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llama3-8B-DarkIdol-2.2-Uncensored-1048K.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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llama3-8B-DarkIdol-2.2-Uncensored-1048K.f16.gguf
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version https://git-lfs.github.com/spec/v1
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oid sha256:ce11a9bd5be3980235f7d0522730f86bc44c7e92f143025bea06f1ef877a6437
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size 16068890528
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llama3-8B-DarkIdol-2.2-Uncensored-1048K.q5_k.gguf
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version https://git-lfs.github.com/spec/v1
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oid sha256:63fdcb4fd06582dd1270b91619d06ae786664f1c132c3aa66359d60a0a741ab3
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size 7042224032
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llama3-8B-DarkIdol-2.2-Uncensored-1048K.q6_k.gguf
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version https://git-lfs.github.com/spec/v1
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oid sha256:61d4ab5653e4110f96a1d64858c5201116f9b1ce68fcc7ba6f04b6aa3b8f7999
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size 7835471776
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llama3-8B-DarkIdol-2.2-Uncensored-1048K.q8_0.gguf
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version https://git-lfs.github.com/spec/v1
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oid sha256:698dbf12063c609569e251c44cdac4f19cacb9f6b5de79565cc0d6df667dd974
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size 9525776288
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