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Code-Mistral-7B-GGUF

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Llamacpp quants

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+ ---
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+ license: apache-2.0
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+ datasets:
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+ - ajibawa-2023/Code-290k-ShareGPT
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+ - m-a-p/Code-Feedback
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+ - microsoft/orca-math-word-problems-200k
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+ - teknium/openhermes
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+ language:
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+ - en
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+ tags:
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+ - code
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+ - mathematics
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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 Code-Mistral-7B
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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/b2440">b2440</a> for quantization.
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+
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+ Original model: https://huggingface.co/ajibawa-2023/Code-Mistral-7B
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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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+ | [Code-Mistral-7B-Q8_0.gguf](https://huggingface.co/bartowski/Code-Mistral-7B-GGUF/blob/main/Code-Mistral-7B-Q8_0.gguf) | Q8_0 | 7.69GB | Extremely high quality, generally unneeded but max available quant. |
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+ | [Code-Mistral-7B-Q6_K.gguf](https://huggingface.co/bartowski/Code-Mistral-7B-GGUF/blob/main/Code-Mistral-7B-Q6_K.gguf) | Q6_K | 5.94GB | Very high quality, near perfect, *recommended*. |
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+ | [Code-Mistral-7B-Q5_K_M.gguf](https://huggingface.co/bartowski/Code-Mistral-7B-GGUF/blob/main/Code-Mistral-7B-Q5_K_M.gguf) | Q5_K_M | 5.13GB | High quality, very usable. |
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+ | [Code-Mistral-7B-Q5_K_S.gguf](https://huggingface.co/bartowski/Code-Mistral-7B-GGUF/blob/main/Code-Mistral-7B-Q5_K_S.gguf) | Q5_K_S | 4.99GB | High quality, very usable. |
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+ | [Code-Mistral-7B-Q5_0.gguf](https://huggingface.co/bartowski/Code-Mistral-7B-GGUF/blob/main/Code-Mistral-7B-Q5_0.gguf) | Q5_0 | 4.99GB | High quality, older format, generally not recommended. |
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+ | [Code-Mistral-7B-Q4_K_M.gguf](https://huggingface.co/bartowski/Code-Mistral-7B-GGUF/blob/main/Code-Mistral-7B-Q4_K_M.gguf) | Q4_K_M | 4.36GB | Good quality, similar to 4.25 bpw. |
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+ | [Code-Mistral-7B-Q4_K_S.gguf](https://huggingface.co/bartowski/Code-Mistral-7B-GGUF/blob/main/Code-Mistral-7B-Q4_K_S.gguf) | Q4_K_S | 4.14GB | Slightly lower quality with small space savings. |
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+ | [Code-Mistral-7B-IQ4_NL.gguf](https://huggingface.co/bartowski/Code-Mistral-7B-GGUF/blob/main/Code-Mistral-7B-IQ4_NL.gguf) | IQ4_NL | 4.15GB | Good quality, similar to Q4_K_S, new method of quanting, |
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+ | [Code-Mistral-7B-IQ4_XS.gguf](https://huggingface.co/bartowski/Code-Mistral-7B-GGUF/blob/main/Code-Mistral-7B-IQ4_XS.gguf) | IQ4_XS | 3.94GB | Decent quality, new method with similar performance to Q4. |
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+ | [Code-Mistral-7B-Q4_0.gguf](https://huggingface.co/bartowski/Code-Mistral-7B-GGUF/blob/main/Code-Mistral-7B-Q4_0.gguf) | Q4_0 | 4.10GB | Decent quality, older format, generally not recommended. |
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+ | [Code-Mistral-7B-IQ3_M.gguf](https://huggingface.co/bartowski/Code-Mistral-7B-GGUF/blob/main/Code-Mistral-7B-IQ3_M.gguf) | IQ3_M | 3.28GB | Medium-low quality, new method with decent performance. |
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+ | [Code-Mistral-7B-IQ3_S.gguf](https://huggingface.co/bartowski/Code-Mistral-7B-GGUF/blob/main/Code-Mistral-7B-IQ3_S.gguf) | IQ3_S | 3.18GB | Lower quality, new method with decent performance, recommended over Q3 quants. |
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+ | [Code-Mistral-7B-Q3_K_L.gguf](https://huggingface.co/bartowski/Code-Mistral-7B-GGUF/blob/main/Code-Mistral-7B-Q3_K_L.gguf) | Q3_K_L | 3.82GB | Lower quality but usable, good for low RAM availability. |
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+ | [Code-Mistral-7B-Q3_K_M.gguf](https://huggingface.co/bartowski/Code-Mistral-7B-GGUF/blob/main/Code-Mistral-7B-Q3_K_M.gguf) | Q3_K_M | 3.51GB | Even lower quality. |
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+ | [Code-Mistral-7B-Q3_K_S.gguf](https://huggingface.co/bartowski/Code-Mistral-7B-GGUF/blob/main/Code-Mistral-7B-Q3_K_S.gguf) | Q3_K_S | 3.16GB | Low quality, not recommended. |
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+ | [Code-Mistral-7B-Q2_K.gguf](https://huggingface.co/bartowski/Code-Mistral-7B-GGUF/blob/main/Code-Mistral-7B-Q2_K.gguf) | Q2_K | 2.71GB | 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