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Faro-Yi-9B-200K-GGUF

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Llamacpp quants

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+ ---
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+ license: mit
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+ datasets:
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+ - wenbopan/Fusang-v1
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+ - wenbopan/OpenOrca-zh-20k
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+ language:
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+ - zh
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+ - en
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+ quantized_by: bartowski
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+ pipeline_tag: text-generation
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+ ---
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+
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+ ## Llamacpp Quantizations of Faro-Yi-9B-200K
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+
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+ Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b2536">b2536</a> for quantization.
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+
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+ Original model: https://huggingface.co/wenbopan/Faro-Yi-9B-200K
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+
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+ Download a file (not the whole branch) from below:
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+
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+ | Filename | Quant type | File Size | Description |
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+ | -------- | ---------- | --------- | ----------- |
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+ | [Faro-Yi-9B-200K-Q8_0.gguf](https://huggingface.co/bartowski/Faro-Yi-9B-200K-GGUF/blob/main/Faro-Yi-9B-200K-Q8_0.gguf) | Q8_0 | 9.38GB | Extremely high quality, generally unneeded but max available quant. |
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+ | [Faro-Yi-9B-200K-Q6_K.gguf](https://huggingface.co/bartowski/Faro-Yi-9B-200K-GGUF/blob/main/Faro-Yi-9B-200K-Q6_K.gguf) | Q6_K | 7.24GB | Very high quality, near perfect, *recommended*. |
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+ | [Faro-Yi-9B-200K-Q5_K_M.gguf](https://huggingface.co/bartowski/Faro-Yi-9B-200K-GGUF/blob/main/Faro-Yi-9B-200K-Q5_K_M.gguf) | Q5_K_M | 6.25GB | High quality, very usable. |
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+ | [Faro-Yi-9B-200K-Q5_K_S.gguf](https://huggingface.co/bartowski/Faro-Yi-9B-200K-GGUF/blob/main/Faro-Yi-9B-200K-Q5_K_S.gguf) | Q5_K_S | 6.10GB | High quality, very usable. |
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+ | [Faro-Yi-9B-200K-Q5_0.gguf](https://huggingface.co/bartowski/Faro-Yi-9B-200K-GGUF/blob/main/Faro-Yi-9B-200K-Q5_0.gguf) | Q5_0 | 6.10GB | High quality, older format, generally not recommended. |
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+ | [Faro-Yi-9B-200K-Q4_K_M.gguf](https://huggingface.co/bartowski/Faro-Yi-9B-200K-GGUF/blob/main/Faro-Yi-9B-200K-Q4_K_M.gguf) | Q4_K_M | 5.32GB | Good quality, uses about 4.83 bits per weight. |
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+ | [Faro-Yi-9B-200K-Q4_K_S.gguf](https://huggingface.co/bartowski/Faro-Yi-9B-200K-GGUF/blob/main/Faro-Yi-9B-200K-Q4_K_S.gguf) | Q4_K_S | 5.07GB | Slightly lower quality with small space savings. |
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+ | [Faro-Yi-9B-200K-IQ4_NL.gguf](https://huggingface.co/bartowski/Faro-Yi-9B-200K-GGUF/blob/main/Faro-Yi-9B-200K-IQ4_NL.gguf) | IQ4_NL | 5.08GB | Decent quality, similar to Q4_K_S, new method of quanting, |
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+ | [Faro-Yi-9B-200K-IQ4_XS.gguf](https://huggingface.co/bartowski/Faro-Yi-9B-200K-GGUF/blob/main/Faro-Yi-9B-200K-IQ4_XS.gguf) | IQ4_XS | 4.82GB | Decent quality, new method with similar performance to Q4. |
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+ | [Faro-Yi-9B-200K-Q4_0.gguf](https://huggingface.co/bartowski/Faro-Yi-9B-200K-GGUF/blob/main/Faro-Yi-9B-200K-Q4_0.gguf) | Q4_0 | 5.03GB | Decent quality, older format, generally not recommended. |
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+ | [Faro-Yi-9B-200K-Q3_K_L.gguf](https://huggingface.co/bartowski/Faro-Yi-9B-200K-GGUF/blob/main/Faro-Yi-9B-200K-Q3_K_L.gguf) | Q3_K_L | 4.69GB | Lower quality but usable, good for low RAM availability. |
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+ | [Faro-Yi-9B-200K-Q3_K_M.gguf](https://huggingface.co/bartowski/Faro-Yi-9B-200K-GGUF/blob/main/Faro-Yi-9B-200K-Q3_K_M.gguf) | Q3_K_M | 4.32GB | Even lower quality. |
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+ | [Faro-Yi-9B-200K-IQ3_M.gguf](https://huggingface.co/bartowski/Faro-Yi-9B-200K-GGUF/blob/main/Faro-Yi-9B-200K-IQ3_M.gguf) | IQ3_M | 4.05GB | Medium-low quality, new method with decent performance. |
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+ | [Faro-Yi-9B-200K-IQ3_S.gguf](https://huggingface.co/bartowski/Faro-Yi-9B-200K-GGUF/blob/main/Faro-Yi-9B-200K-IQ3_S.gguf) | IQ3_S | 3.91GB | Lower quality, new method with decent performance, recommended over Q3 quants. |
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+ | [Faro-Yi-9B-200K-Q3_K_S.gguf](https://huggingface.co/bartowski/Faro-Yi-9B-200K-GGUF/blob/main/Faro-Yi-9B-200K-Q3_K_S.gguf) | Q3_K_S | 3.89GB | Low quality, not recommended. |
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+ | [Faro-Yi-9B-200K-Q2_K.gguf](https://huggingface.co/bartowski/Faro-Yi-9B-200K-GGUF/blob/main/Faro-Yi-9B-200K-Q2_K.gguf) | Q2_K | 3.35GB | Extremely low quality, *not* recommended.
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+
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+ Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski