--- license: apache-2.0 datasets: - FreedomIntelligence/medical-o1-reasoning-SFT - FreedomIntelligence/medical-o1-verifiable-problem language: - en - zh base_model: FreedomIntelligence/HuatuoGPT-o1-72B pipeline_tag: text-generation tags: - medical - TensorBlock - GGUF ---
TensorBlock
[![Website](https://img.shields.io/badge/Website-tensorblock.co-blue?logo=google-chrome&logoColor=white)](https://tensorblock.co) [![Twitter](https://img.shields.io/twitter/follow/tensorblock_aoi?style=social)](https://twitter.com/tensorblock_aoi) [![Discord](https://img.shields.io/badge/Discord-Join%20Us-5865F2?logo=discord&logoColor=white)](https://discord.gg/Ej5NmeHFf2) [![GitHub](https://img.shields.io/badge/GitHub-TensorBlock-black?logo=github&logoColor=white)](https://github.com/TensorBlock) [![Telegram](https://img.shields.io/badge/Telegram-Group-blue?logo=telegram)](https://t.me/TensorBlock) ## FreedomIntelligence/HuatuoGPT-o1-72B - GGUF This repo contains GGUF format model files for [FreedomIntelligence/HuatuoGPT-o1-72B](https://huggingface.co/FreedomIntelligence/HuatuoGPT-o1-72B). The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4391](https://github.com/ggerganov/llama.cpp/commit/9ba399dfa7f115effc63d48e6860a94c9faa31b2). ## Our projects
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## Prompt template ``` <|im_start|>system {system_prompt}<|im_end|> <|im_start|>user {prompt}<|im_end|> <|im_start|>assistant ``` ## Model file specification | Filename | Quant type | File Size | Description | | -------- | ---------- | --------- | ----------- | | [HuatuoGPT-o1-72B-Q2_K.gguf](https://huggingface.co/tensorblock/HuatuoGPT-o1-72B-GGUF/blob/main/HuatuoGPT-o1-72B-Q2_K.gguf) | Q2_K | 29.812 GB | smallest, significant quality loss - not recommended for most purposes | | [HuatuoGPT-o1-72B-Q3_K_S.gguf](https://huggingface.co/tensorblock/HuatuoGPT-o1-72B-GGUF/blob/main/HuatuoGPT-o1-72B-Q3_K_S.gguf) | Q3_K_S | 34.488 GB | very small, high quality loss | | [HuatuoGPT-o1-72B-Q3_K_M.gguf](https://huggingface.co/tensorblock/HuatuoGPT-o1-72B-GGUF/blob/main/HuatuoGPT-o1-72B-Q3_K_M.gguf) | Q3_K_M | 37.699 GB | very small, high quality loss | | [HuatuoGPT-o1-72B-Q3_K_L.gguf](https://huggingface.co/tensorblock/HuatuoGPT-o1-72B-GGUF/blob/main/HuatuoGPT-o1-72B-Q3_K_L.gguf) | Q3_K_L | 39.505 GB | small, substantial quality loss | | [HuatuoGPT-o1-72B-Q4_0.gguf](https://huggingface.co/tensorblock/HuatuoGPT-o1-72B-GGUF/blob/main/HuatuoGPT-o1-72B-Q4_0.gguf) | Q4_0 | 41.232 GB | legacy; small, very high quality loss - prefer using Q3_K_M | | [HuatuoGPT-o1-72B-Q4_K_S.gguf](https://huggingface.co/tensorblock/HuatuoGPT-o1-72B-GGUF/blob/main/HuatuoGPT-o1-72B-Q4_K_S.gguf) | Q4_K_S | 43.889 GB | small, greater quality loss | | [HuatuoGPT-o1-72B-Q4_K_M.gguf](https://huggingface.co/tensorblock/HuatuoGPT-o1-72B-GGUF/blob/main/HuatuoGPT-o1-72B-Q4_K_M.gguf) | Q4_K_M | 47.416 GB | medium, balanced quality - recommended | | [HuatuoGPT-o1-72B-Q5_0](https://huggingface.co/tensorblock/HuatuoGPT-o1-72B-GGUF/blob/main/HuatuoGPT-o1-72B-Q5_0) | Q5_0 | 50.164 GB | legacy; medium, balanced quality - prefer using Q4_K_M | | [HuatuoGPT-o1-72B-Q5_K_S](https://huggingface.co/tensorblock/HuatuoGPT-o1-72B-GGUF/blob/main/HuatuoGPT-o1-72B-Q5_K_S) | Q5_K_S | 51.375 GB | large, low quality loss - recommended | | [HuatuoGPT-o1-72B-Q5_K_M](https://huggingface.co/tensorblock/HuatuoGPT-o1-72B-GGUF/blob/main/HuatuoGPT-o1-72B-Q5_K_M) | Q5_K_M | 54.447 GB | large, very low quality loss - recommended | | [HuatuoGPT-o1-72B-Q6_K](https://huggingface.co/tensorblock/HuatuoGPT-o1-72B-GGUF/blob/main/HuatuoGPT-o1-72B-Q6_K) | Q6_K | 64.348 GB | very large, extremely low quality loss | | [HuatuoGPT-o1-72B-Q8_0](https://huggingface.co/tensorblock/HuatuoGPT-o1-72B-GGUF/blob/main/HuatuoGPT-o1-72B-Q8_0) | Q8_0 | 77.263 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/HuatuoGPT-o1-72B-GGUF --include "HuatuoGPT-o1-72B-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/HuatuoGPT-o1-72B-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf' ```