--- language: - en - zh - id - th - vi - ms - lo datasets: - CohereForAI/aya_dataset - CohereForAI/aya_collection - Open-Orca/OpenOrca tags: - multilingual - sea - sailor - sft - chat - instruction - TensorBlock - GGUF widget: - text: 如何制作烤鱼? example_title: Chinese - text: How to bake fish? example_title: English - text: Bagaimana cara memanggang ikan? example_title: Malay - text: วิธีย่างปลา? example_title: Thai - text: Bagaimana membuat bakaran ikan? example_title: Indonesian - text: Làm thế nào để nướng cá? example_title: Vietnamese license: apache-2.0 base_model: sail/Sailor-7B-Chat ---
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## sail/Sailor-7B-Chat - GGUF This repo contains GGUF format model files for [sail/Sailor-7B-Chat](https://huggingface.co/sail/Sailor-7B-Chat). The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4242](https://github.com/ggerganov/llama.cpp/commit/a6744e43e80f4be6398fc7733a01642c846dce1d).
Run them on the TensorBlock client using your local machine ↗
## Prompt template ``` <|im_start|>system {system_prompt}<|im_end|> <|im_start|>user {prompt}<|im_end|> <|im_start|>answer ``` ## Model file specification | Filename | Quant type | File Size | Description | | -------- | ---------- | --------- | ----------- | | [Sailor-7B-Chat-Q2_K.gguf](https://huggingface.co/tensorblock/Sailor-7B-Chat-GGUF/blob/main/Sailor-7B-Chat-Q2_K.gguf) | Q2_K | 3.104 GB | smallest, significant quality loss - not recommended for most purposes | | [Sailor-7B-Chat-Q3_K_S.gguf](https://huggingface.co/tensorblock/Sailor-7B-Chat-GGUF/blob/main/Sailor-7B-Chat-Q3_K_S.gguf) | Q3_K_S | 3.569 GB | very small, high quality loss | | [Sailor-7B-Chat-Q3_K_M.gguf](https://huggingface.co/tensorblock/Sailor-7B-Chat-GGUF/blob/main/Sailor-7B-Chat-Q3_K_M.gguf) | Q3_K_M | 3.919 GB | very small, high quality loss | | [Sailor-7B-Chat-Q3_K_L.gguf](https://huggingface.co/tensorblock/Sailor-7B-Chat-GGUF/blob/main/Sailor-7B-Chat-Q3_K_L.gguf) | Q3_K_L | 4.218 GB | small, substantial quality loss | | [Sailor-7B-Chat-Q4_0.gguf](https://huggingface.co/tensorblock/Sailor-7B-Chat-GGUF/blob/main/Sailor-7B-Chat-Q4_0.gguf) | Q4_0 | 4.512 GB | legacy; small, very high quality loss - prefer using Q3_K_M | | [Sailor-7B-Chat-Q4_K_S.gguf](https://huggingface.co/tensorblock/Sailor-7B-Chat-GGUF/blob/main/Sailor-7B-Chat-Q4_K_S.gguf) | Q4_K_S | 4.543 GB | small, greater quality loss | | [Sailor-7B-Chat-Q4_K_M.gguf](https://huggingface.co/tensorblock/Sailor-7B-Chat-GGUF/blob/main/Sailor-7B-Chat-Q4_K_M.gguf) | Q4_K_M | 4.767 GB | medium, balanced quality - recommended | | [Sailor-7B-Chat-Q5_0.gguf](https://huggingface.co/tensorblock/Sailor-7B-Chat-GGUF/blob/main/Sailor-7B-Chat-Q5_0.gguf) | Q5_0 | 5.399 GB | legacy; medium, balanced quality - prefer using Q4_K_M | | [Sailor-7B-Chat-Q5_K_S.gguf](https://huggingface.co/tensorblock/Sailor-7B-Chat-GGUF/blob/main/Sailor-7B-Chat-Q5_K_S.gguf) | Q5_K_S | 5.399 GB | large, low quality loss - recommended | | [Sailor-7B-Chat-Q5_K_M.gguf](https://huggingface.co/tensorblock/Sailor-7B-Chat-GGUF/blob/main/Sailor-7B-Chat-Q5_K_M.gguf) | Q5_K_M | 5.531 GB | large, very low quality loss - recommended | | [Sailor-7B-Chat-Q6_K.gguf](https://huggingface.co/tensorblock/Sailor-7B-Chat-GGUF/blob/main/Sailor-7B-Chat-Q6_K.gguf) | Q6_K | 6.342 GB | very large, extremely low quality loss | | [Sailor-7B-Chat-Q8_0.gguf](https://huggingface.co/tensorblock/Sailor-7B-Chat-GGUF/blob/main/Sailor-7B-Chat-Q8_0.gguf) | Q8_0 | 8.212 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/Sailor-7B-Chat-GGUF --include "Sailor-7B-Chat-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/Sailor-7B-Chat-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf' ```