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Browse files- .gitattributes +4 -0
- DeepSeek-V2-Lite-Chat.f16.gguf +3 -0
- DeepSeek-V2-Lite-Chat.q5_k.gguf +3 -0
- DeepSeek-V2-Lite-Chat.q6_k.gguf +3 -0
- DeepSeek-V2-Lite-Chat.q8_0.gguf +3 -0
- README.md +16 -0
.gitattributes
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DeepSeek-V2-Lite-Chat.f16.gguf filter=lfs diff=lfs merge=lfs -text
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DeepSeek-V2-Lite-Chat.f16.gguf
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version https://git-lfs.github.com/spec/v1
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oid sha256:3ef9ac89c78b82e188cad8c75d0cb630899e08510a97d6fa41431139573f697c
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size 31424033088
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DeepSeek-V2-Lite-Chat.q5_k.gguf
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version https://git-lfs.github.com/spec/v1
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size 12373963072
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DeepSeek-V2-Lite-Chat.q6_k.gguf
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version https://git-lfs.github.com/spec/v1
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size 14561768768
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version https://git-lfs.github.com/spec/v1
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oid sha256:9ffc5ecebac0eef5574f73c50ac64cb672eca07e4679bd3c6a2e85f4ded1d249
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size 17095733568
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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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Updated on: Fri Jul 12, 12:43:21
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