Instructions to use bartowski/DeepSeek-R1-Distill-Qwen-32B-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use bartowski/DeepSeek-R1-Distill-Qwen-32B-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="bartowski/DeepSeek-R1-Distill-Qwen-32B-GGUF",
	filename="DeepSeek-R1-Distill-Qwen-32B-IQ2_M.gguf",
)

llm.create_chat_completion(
	messages = [
		{
			"role": "user",
			"content": "What is the capital of France?"
		}
	]
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use bartowski/DeepSeek-R1-Distill-Qwen-32B-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf bartowski/DeepSeek-R1-Distill-Qwen-32B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf bartowski/DeepSeek-R1-Distill-Qwen-32B-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf bartowski/DeepSeek-R1-Distill-Qwen-32B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf bartowski/DeepSeek-R1-Distill-Qwen-32B-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-R1-Distill-Qwen-32B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf bartowski/DeepSeek-R1-Distill-Qwen-32B-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-R1-Distill-Qwen-32B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf bartowski/DeepSeek-R1-Distill-Qwen-32B-GGUF:Q4_K_M

Use Docker

docker model run hf.co/bartowski/DeepSeek-R1-Distill-Qwen-32B-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use bartowski/DeepSeek-R1-Distill-Qwen-32B-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "bartowski/DeepSeek-R1-Distill-Qwen-32B-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-R1-Distill-Qwen-32B-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/bartowski/DeepSeek-R1-Distill-Qwen-32B-GGUF:Q4_K_M

Ollama
How to use bartowski/DeepSeek-R1-Distill-Qwen-32B-GGUF with Ollama:
```
ollama run hf.co/bartowski/DeepSeek-R1-Distill-Qwen-32B-GGUF:Q4_K_M
```

Unsloth Studio

How to use bartowski/DeepSeek-R1-Distill-Qwen-32B-GGUF with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for bartowski/DeepSeek-R1-Distill-Qwen-32B-GGUF to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for bartowski/DeepSeek-R1-Distill-Qwen-32B-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for bartowski/DeepSeek-R1-Distill-Qwen-32B-GGUF to start chatting

Docker Model Runner
How to use bartowski/DeepSeek-R1-Distill-Qwen-32B-GGUF with Docker Model Runner:
```
docker model run hf.co/bartowski/DeepSeek-R1-Distill-Qwen-32B-GGUF:Q4_K_M
```

Lemonade

How to use bartowski/DeepSeek-R1-Distill-Qwen-32B-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull bartowski/DeepSeek-R1-Distill-Qwen-32B-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.DeepSeek-R1-Distill-Qwen-32B-GGUF-Q4_K_M

List all available models

lemonade list

Missing License

#13

by xixi126 - opened Jun 22, 2025

Discussion

xixi126

Jun 22, 2025

Hi, I'd like to report a missing license in bartowski/DeepSeek-R1-Distill-Qwen-32B-GGUF. I noticed that this model was quantized from deepseek-ai/DeepSeek-R1-Distill-Qwen-32B, which is licensed under MIT License — a permissive open-source license that allows for reuse and redistribution as long as the original license is included. But the thing is, this model currently doesn’t include any license information, which can lead to confusion for downstream users.

⚠️ Without a license attached:

  • By default, users technically don’t have legal permission to use, modify, distribute, or even deploy the model
  
  • This also technically blocks any downstream reuse, even for research or open-source work
  
  • Other teams might want to build on this model but may hesitate or be unable to because the usage rights are unclear
  
  • This can unintentionally limit the model’s impact, even if your intention was to make it openly available!

🔹 Suggestion:

It might be helpful to:

  • Adding a tag of the MIT License (or a compatible license) to the model
  
  • Adding the MIT License (or a compatible license) to the repo or model card

Totally appreciate the work on this — just hoping to make things a bit smoother and safer for downstream users! 😊Let me know if I misunderstood anything — happy to help!

Thanks for your attention!

xixi126

Jul 10, 2025

Looking forward to your response!

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