huihui-ai/DeepSeek-V3-0324-bf16

This model converted from DeepSeek-V3-0324 to BF16.
Therefore, we have provided only the command to convert from Windows and information related to ollama.

The Windows environment is much faster than the WSL2(Ubuntu-22.04) environment, provided you have sufficient memory or virtual memory. The Linux environment hasn't been tested.

If you are in a Linux or WSL environment, please refer to huihui-ai/DeepSeek-R1-bf16.

If needed, we can upload the bf16 version.

FP8 to BF16

1. Download deepseek-ai/DeepSeek-V3-0324 model, requires approximately 641GB of space.

cd /d C:\Users\admin\models
huggingface-cli download deepseek-ai/DeepSeek-V3-0324 --local-dir ./deepseek-ai/DeepSeek-V3-0324

2. Create the environment.

conda create -yn DeepSeek-V3-0324 python=3.10
conda activate DeepSeek-V3
pip install torch --index-url https://download.pytorch.org/whl/cu124
pip install -U triton-windows
pip install transformers==4.46.3
pip install safetensors==0.4.5
pip install sentencepiece

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

cd deepseek-ai/DeepSeek-V3/inference
python fp8_cast_bf16.py --input-fp8-hf-path C:/Users/admin/deepseek-ai/models/DeepSeek-V3-0324/ --output-bf16-hf-path C:/Users/admin/models/deepseek-ai/DeepSeek-V3-0324-bf16

BF16 to f16.gguf

1. Use the llama.cpp conversion program to convert DeepSeek-V3-0324-bf16 to gguf format, requires an additional approximately 1.3 TB of space.

python convert_hf_to_gguf.py C:/Users/admin/deepseek-ai/models/deepseek-ai/DeepSeek-V3-0324-bf16 --outfile C:/Users/admin/deepseek-ai/models/deepseek-ai/DeepSeek-V3-0324-bf16/ggml-model-f16.gguf --outtype f16

2. Use the llama.cpp quantitative program to quantitative model (llama-quantize needs to be compiled.), other quant option. Convert first Q2_K, requires an additional approximately 227 GB of space.

llama-quantize C:/Users/admin/deepseek-ai/models/deepseek-ai/DeepSeek-V3-0324-bf16/ggml-model-f16.gguf  C:/Users/admin/deepseek-ai/models/deepseek-ai/DeepSeek-V3-0324-bf16/ggml-model-Q2_K.gguf Q2_K

3. Use llama-cli to test.

llama-cli -m C:/Users/admin/deepseek-ai/models/deepseek-ai/DeepSeek-V3-0324-bf16/ggml-model-Q2_K.gguf -n 2048

Use with ollama

Note: this model requires Ollama 0.5.5

Modefile

FROM deepseek-ai/DeepSeek-V3-0324-bf16/ggml-model-Q2_K.gguf
TEMPLATE """{{- range $i, $_ := .Messages }}
{{- if eq .Role "user" }}<｜User｜>
{{- else if eq .Role "assistant" }}<｜Assistant｜>
{{- end }}{{ .Content }}
{{- if eq (len (slice $.Messages $i)) 1 }}
{{- if eq .Role "user" }}<｜Assistant｜>
{{- end }}
{{- else if eq .Role "assistant" }}<｜end▁of▁sentence｜><｜begin▁of▁sentence｜>
{{- end }}
{{- end }}"""
PARAMETER stop <｜begin▁of▁sentence｜>
PARAMETER stop <｜end▁of▁sentence｜>
PARAMETER stop <｜User｜>
PARAMETER stop <｜Assistant｜>
PARAMETER num_gpu 1

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