--- language: - en license: apache-2.0 tags: - pretrained - TensorBlock - GGUF pipeline_tag: text-generation inference: parameters: temperature: 0.7 extra_gated_description: If you want to learn more about how we process your personal data, please read our Privacy Policy. base_model: mistralai/Mistral-7B-v0.1 ---

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## mistralai/Mistral-7B-v0.1 - GGUF This repo contains GGUF format model files for [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1). The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4011](https://github.com/ggerganov/llama.cpp/commit/a6744e43e80f4be6398fc7733a01642c846dce1d).

Run them on the TensorBlock client using your local machine ↗

## Prompt template ``` ``` ## Model file specification | Filename | Quant type | File Size | Description | | -------- | ---------- | --------- | ----------- | | [Mistral-7B-v0.1-Q2_K.gguf](https://huggingface.co/tensorblock/Mistral-7B-v0.1-GGUF/blob/main/Mistral-7B-v0.1-Q2_K.gguf) | Q2_K | 2.719 GB | smallest, significant quality loss - not recommended for most purposes | | [Mistral-7B-v0.1-Q3_K_S.gguf](https://huggingface.co/tensorblock/Mistral-7B-v0.1-GGUF/blob/main/Mistral-7B-v0.1-Q3_K_S.gguf) | Q3_K_S | 3.165 GB | very small, high quality loss | | [Mistral-7B-v0.1-Q3_K_M.gguf](https://huggingface.co/tensorblock/Mistral-7B-v0.1-GGUF/blob/main/Mistral-7B-v0.1-Q3_K_M.gguf) | Q3_K_M | 3.519 GB | very small, high quality loss | | [Mistral-7B-v0.1-Q3_K_L.gguf](https://huggingface.co/tensorblock/Mistral-7B-v0.1-GGUF/blob/main/Mistral-7B-v0.1-Q3_K_L.gguf) | Q3_K_L | 3.822 GB | small, substantial quality loss | | [Mistral-7B-v0.1-Q4_0.gguf](https://huggingface.co/tensorblock/Mistral-7B-v0.1-GGUF/blob/main/Mistral-7B-v0.1-Q4_0.gguf) | Q4_0 | 4.109 GB | legacy; small, very high quality loss - prefer using Q3_K_M | | [Mistral-7B-v0.1-Q4_K_S.gguf](https://huggingface.co/tensorblock/Mistral-7B-v0.1-GGUF/blob/main/Mistral-7B-v0.1-Q4_K_S.gguf) | Q4_K_S | 4.140 GB | small, greater quality loss | | [Mistral-7B-v0.1-Q4_K_M.gguf](https://huggingface.co/tensorblock/Mistral-7B-v0.1-GGUF/blob/main/Mistral-7B-v0.1-Q4_K_M.gguf) | Q4_K_M | 4.368 GB | medium, balanced quality - recommended | | [Mistral-7B-v0.1-Q5_0.gguf](https://huggingface.co/tensorblock/Mistral-7B-v0.1-GGUF/blob/main/Mistral-7B-v0.1-Q5_0.gguf) | Q5_0 | 4.998 GB | legacy; medium, balanced quality - prefer using Q4_K_M | | [Mistral-7B-v0.1-Q5_K_S.gguf](https://huggingface.co/tensorblock/Mistral-7B-v0.1-GGUF/blob/main/Mistral-7B-v0.1-Q5_K_S.gguf) | Q5_K_S | 4.998 GB | large, low quality loss - recommended | | [Mistral-7B-v0.1-Q5_K_M.gguf](https://huggingface.co/tensorblock/Mistral-7B-v0.1-GGUF/blob/main/Mistral-7B-v0.1-Q5_K_M.gguf) | Q5_K_M | 5.131 GB | large, very low quality loss - recommended | | [Mistral-7B-v0.1-Q6_K.gguf](https://huggingface.co/tensorblock/Mistral-7B-v0.1-GGUF/blob/main/Mistral-7B-v0.1-Q6_K.gguf) | Q6_K | 5.942 GB | very large, extremely low quality loss | | [Mistral-7B-v0.1-Q8_0.gguf](https://huggingface.co/tensorblock/Mistral-7B-v0.1-GGUF/blob/main/Mistral-7B-v0.1-Q8_0.gguf) | Q8_0 | 7.696 GB | very large, extremely low quality loss - not recommended | ## Downloading instruction ### Command line Firstly, install Huggingface Client ```shell pip install -U "huggingface_hub[cli]" ``` Then, downoad the individual model file the a local directory ```shell huggingface-cli download tensorblock/Mistral-7B-v0.1-GGUF --include "Mistral-7B-v0.1-Q2_K.gguf" --local-dir MY_LOCAL_DIR ``` If you wanna download multiple model files with a pattern (e.g., `*Q4_K*gguf`), you can try: ```shell huggingface-cli download tensorblock/Mistral-7B-v0.1-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf' ```