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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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## Llamacpp Quantizations of Faro-Yi-9B-200K |
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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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Original model: https://huggingface.co/wenbopan/Faro-Yi-9B-200K |
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Download a file (not the whole branch) from below: |
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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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Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski |
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