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- HuatuoGPT-o1-72B-Q2_K.gguf +3 -0
- HuatuoGPT-o1-72B-Q3_K_L.gguf +3 -0
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- HuatuoGPT-o1-72B-Q6_K/HuatuoGPT-o1-72B-Q6_K-00002-of-00002.gguf +3 -0
- HuatuoGPT-o1-72B-Q8_0/HuatuoGPT-o1-72B-Q8_0-00001-of-00003.gguf +3 -0
- HuatuoGPT-o1-72B-Q8_0/HuatuoGPT-o1-72B-Q8_0-00002-of-00003.gguf +3 -0
- HuatuoGPT-o1-72B-Q8_0/HuatuoGPT-o1-72B-Q8_0-00003-of-00003.gguf +3 -0
- README.md +88 -0
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README.md
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---
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license: apache-2.0
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datasets:
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- FreedomIntelligence/medical-o1-reasoning-SFT
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- FreedomIntelligence/medical-o1-verifiable-problem
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language:
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- en
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- zh
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base_model: FreedomIntelligence/HuatuoGPT-o1-72B
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pipeline_tag: text-generation
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tags:
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- medical
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- TensorBlock
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- GGUF
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---
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<div style="width: auto; margin-left: auto; margin-right: auto">
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<img src="https://i.imgur.com/jC7kdl8.jpeg" alt="TensorBlock" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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</div>
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<div style="display: flex; justify-content: space-between; width: 100%;">
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<div style="display: flex; flex-direction: column; align-items: flex-start;">
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<p style="margin-top: 0.5em; margin-bottom: 0em;">
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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>
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</p>
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</div>
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</div>
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## FreedomIntelligence/HuatuoGPT-o1-72B - GGUF
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This repo contains GGUF format model files for [FreedomIntelligence/HuatuoGPT-o1-72B](https://huggingface.co/FreedomIntelligence/HuatuoGPT-o1-72B).
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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).
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<div style="text-align: left; margin: 20px 0;">
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<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;">
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Run them on the TensorBlock client using your local machine ↗
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</a>
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</div>
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## Prompt template
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```
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<|im_start|>system
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{system_prompt}<|im_end|>
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<|im_start|>user
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{prompt}<|im_end|>
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<|im_start|>assistant
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```
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## Model file specification
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| Filename | Quant type | File Size | Description |
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| -------- | ---------- | --------- | ----------- |
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| [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 |
|
55 |
+
| [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 |
|
56 |
+
| [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 |
|
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| [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 |
|
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+
| [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 |
|
59 |
+
| [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 |
|
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| [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 |
|
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| [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 |
|
62 |
+
| [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 |
|
63 |
+
| [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 |
|
64 |
+
| [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 |
|
65 |
+
| [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 |
|
66 |
+
|
67 |
+
|
68 |
+
## Downloading instruction
|
69 |
+
|
70 |
+
### Command line
|
71 |
+
|
72 |
+
Firstly, install Huggingface Client
|
73 |
+
|
74 |
+
```shell
|
75 |
+
pip install -U "huggingface_hub[cli]"
|
76 |
+
```
|
77 |
+
|
78 |
+
Then, downoad the individual model file the a local directory
|
79 |
+
|
80 |
+
```shell
|
81 |
+
huggingface-cli download tensorblock/HuatuoGPT-o1-72B-GGUF --include "HuatuoGPT-o1-72B-Q2_K.gguf" --local-dir MY_LOCAL_DIR
|
82 |
+
```
|
83 |
+
|
84 |
+
If you wanna download multiple model files with a pattern (e.g., `*Q4_K*gguf`), you can try:
|
85 |
+
|
86 |
+
```shell
|
87 |
+
huggingface-cli download tensorblock/HuatuoGPT-o1-72B-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
|
88 |
+
```
|