Instructions to use bartowski/DeepSeek-V2.5-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use bartowski/DeepSeek-V2.5-GGUF with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf bartowski/DeepSeek-V2.5-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf bartowski/DeepSeek-V2.5-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf bartowski/DeepSeek-V2.5-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf bartowski/DeepSeek-V2.5-GGUF:Q4_K_M

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf bartowski/DeepSeek-V2.5-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf bartowski/DeepSeek-V2.5-GGUF:Q4_K_M

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf bartowski/DeepSeek-V2.5-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf bartowski/DeepSeek-V2.5-GGUF:Q4_K_M

Use Docker

docker model run hf.co/bartowski/DeepSeek-V2.5-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use bartowski/DeepSeek-V2.5-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "bartowski/DeepSeek-V2.5-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "bartowski/DeepSeek-V2.5-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/bartowski/DeepSeek-V2.5-GGUF:Q4_K_M

Ollama
How to use bartowski/DeepSeek-V2.5-GGUF with Ollama:
```
ollama run hf.co/bartowski/DeepSeek-V2.5-GGUF:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use bartowski/DeepSeek-V2.5-GGUF with Docker Model Runner:
```
docker model run hf.co/bartowski/DeepSeek-V2.5-GGUF:Q4_K_M
```

Lemonade

How to use bartowski/DeepSeek-V2.5-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull bartowski/DeepSeek-V2.5-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.DeepSeek-V2.5-GGUF-Q4_K_M

List all available models

lemonade list

Atomic Chat

Error serving GGUF models on vllm

by maveriq - opened Oct 10, 2024

Discussion

maveriq

Oct 10, 2024

Hi. Thanks for the quantizations.

I am trying to run the model on vllm. The architecture is supported as per the vllm documentation.

I first downloaded the GGUF shards from DeepSeek-V2.5-Q6_K

Then I merged them using the llama-gguf-split utility.

Finally when I run it as vllm serve DeepSeek-V2.5-Q6_K.gguf --tokenizer deepseek-ai/DeepSeek-V2.5, I get the error ValueError: Architecture deepseek2 not supported and it seems to originate from 'transformers/modeling_gguf_pytorch_utils.py'. Upon further investigataion, the GGUF_SUPPORTED_ARCHITECTURES list only ['llama', 'mistral', 'qwen2', 'qwen2moe', 'phi3']

Do you know any solution to this problem? Or do we have to wait until huggingface support deepseekv2 with GGUF?

thanks

CatCoin

Oct 27, 2024

Have you solved the problem yet? Because I'm experiencing the same issue.

maveriq

Oct 27, 2024

No I didn't. Ended up using the paid API.

bartowski

Owner Oct 27, 2024

It's just not supported in vLLM I'm pretty sure :(

maveriq

Oct 28, 2024

I think it's not vllm, but gguf support on hugging face transformers, that we need to wait for.

bartowski

Owner Oct 28, 2024

hmm maybe, i don't know whose responsibility it is to add it, just that it's explicitly not added in VLLM list

HoshinoTouko

Apr 5, 2025

It seems that add --tokenizer deepseek-ai/DeepSeek-V2.5 --hf-config-path deepseek-ai/DeepSeek-V2.5 can solve this.

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