|
--- |
|
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 |
|
--- |
|
|
|
<div style="width: auto; margin-left: auto; margin-right: auto"> |
|
<img src="https://i.imgur.com/jC7kdl8.jpeg" alt="TensorBlock" style="width: 100%; min-width: 400px; display: block; margin: auto;"> |
|
</div> |
|
<div style="display: flex; justify-content: space-between; width: 100%;"> |
|
<div style="display: flex; flex-direction: column; align-items: flex-start;"> |
|
<p style="margin-top: 0.5em; margin-bottom: 0em;"> |
|
Feedback and support: TensorBlock's <a href="https://x.com/tensorblock_aoi">Twitter/X</a>, <a href="https://t.me/TensorBlock">Telegram Group</a> and <a href="https://x.com/tensorblock_aoi">Discord server</a> |
|
</p> |
|
</div> |
|
</div> |
|
|
|
## 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). |
|
|
|
<div style="text-align: left; margin: 20px 0;"> |
|
<a href="https://tensorblock.co/waitlist/client" style="display: inline-block; padding: 10px 20px; background-color: #007bff; color: white; text-decoration: none; border-radius: 5px; font-weight: bold;"> |
|
Run them on the TensorBlock client using your local machine ↗ |
|
</a> |
|
</div> |
|
|
|
## 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' |
|
``` |
|
|
