---
license: mit
library_name: transformers
---
# huihui-ai/DeepSeek-R1
This model converted from DeepSeek-R1 to BF16.  
Here we simply provide the conversion command and related information about ollama.  
If needed, we can upload the bf16 version.

## FP8 to BF16
1. Download [deepseek-ai/DeepSeek-R1](https://huggingface.co/deepseek-ai/DeepSeek-R1) model, requires approximately 641GB of space.
```
cd /home/admin/models
huggingface-cli download deepseek-ai/DeepSeek-R1 --local-dir ./deepseek-ai/DeepSeek-R1
```
2. Create the environment.
```
conda create -yn DeepSeek-V3 python=3.12
conda activate DeepSeek-V3
pip install -r requirements.txt
```
3. Convert to BF16, requires an additional approximately 1.3 TB of space.  
Here, you need to download the transformation code from the "inference" folder of [deepseek-ai/DeepSeek-V3](https://huggingface.co/deepseek-ai/DeepSeek-V3)
```
cd deepseek-ai/DeepSeek-V3/inference
python fp8_cast_bf16.py --input-fp8-hf-path /home/admin/models/deepseek-ai/DeepSeek-R1/ --output-bf16-hf-path /home/admin/models/deepseek-ai/DeepSeek-R1-bf16
```
## BF16 to f16.gguf
1. Use the [llama.cpp](https://github.com/ggerganov/llama.cpp) conversion program to convert DeepSeek-R1-bf16 to gguf format, requires an additional approximately 1.3 TB of space.
```
python convert_hf_to_gguf.py /home/admin/models/deepseek-ai/DeepSeek-R1-bf16 --outfile /home/admin/models/deepseek-ai/DeepSeek-R1-bf16/ggml-model-f16.gguf --outtype f16
```
2. Use the [llama.cpp](https://github.com/ggerganov/llama.cpp) quantitative program to quantitative model (llama-quantize needs to be compiled.),
other [quant option](https://github.com/ggerganov/llama.cpp/blob/master/examples/quantize/quantize.cpp). 
Convert first Q2_K, requires an additional approximately 227 GB of space.
```
llama-quantize /home/admin/models/deepseek-ai/DeepSeek-R1-bf16/ggml-model-f16.gguf  /home/admin/models/deepseek-ai/DeepSeek-R1-bf16/ggml-model-Q2_K.gguf Q2_K
```
3. Use llama-cli to test.
```
llama-cli -m /home/admin/models/deepseek-ai/DeepSeek-R1-bf16/ggml-model-Q2_K.gguf -n 2048
```

## Use with ollama
**Note:** this model requires [Ollama 0.5.5](https://github.com/ollama/ollama/releases/tag/v0.5.5)  

You can use [huihui_ai/deepseek-r1:671b-q2_K](https://ollama.com/huihui_ai/deepseek-r1:671b-q2_K) directly
```
ollama run huihui_ai/deepseek-r1:671b-q2_K
```
or [huihui_ai/deepseek-r1:671b-q3_K](https://ollama.com/huihui_ai/deepseek-r1:671b-q3_K) 
```
ollama run huihui_ai/deepseek-r1:671b-q3_K
```