Instructions to use bartowski/DeepSeek-R1-Distill-Llama-70B-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use bartowski/DeepSeek-R1-Distill-Llama-70B-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-Llama-70B-GGUF", filename="DeepSeek-R1-Distill-Llama-70B-IQ1_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-Llama-70B-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-R1-Distill-Llama-70B-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf bartowski/DeepSeek-R1-Distill-Llama-70B-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-R1-Distill-Llama-70B-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf bartowski/DeepSeek-R1-Distill-Llama-70B-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-Llama-70B-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf bartowski/DeepSeek-R1-Distill-Llama-70B-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-Llama-70B-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf bartowski/DeepSeek-R1-Distill-Llama-70B-GGUF:Q4_K_M
Use Docker
docker model run hf.co/bartowski/DeepSeek-R1-Distill-Llama-70B-GGUF:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use bartowski/DeepSeek-R1-Distill-Llama-70B-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-Llama-70B-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-Llama-70B-GGUF", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/bartowski/DeepSeek-R1-Distill-Llama-70B-GGUF:Q4_K_M
- Ollama
How to use bartowski/DeepSeek-R1-Distill-Llama-70B-GGUF with Ollama:
ollama run hf.co/bartowski/DeepSeek-R1-Distill-Llama-70B-GGUF:Q4_K_M
- Unsloth Studio
How to use bartowski/DeepSeek-R1-Distill-Llama-70B-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-Llama-70B-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-Llama-70B-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-Llama-70B-GGUF to start chatting
- Atomic Chat new
- Docker Model Runner
How to use bartowski/DeepSeek-R1-Distill-Llama-70B-GGUF with Docker Model Runner:
docker model run hf.co/bartowski/DeepSeek-R1-Distill-Llama-70B-GGUF:Q4_K_M
- Lemonade
How to use bartowski/DeepSeek-R1-Distill-Llama-70B-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull bartowski/DeepSeek-R1-Distill-Llama-70B-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.DeepSeek-R1-Distill-Llama-70B-GGUF-Q4_K_M
List all available models
lemonade list
FuseO1-DeekSeekR1-QwQ-SkyT1-32B-Preview
I know this name is a mouthful, but this model achieves even better scores than the official DeepSeek-R1-Distill-Qwen-32B & QwQ-32B-Preview models.
https://huggingface.co/FuseAI/FuseO1-DeekSeekR1-QwQ-SkyT1-32B-Preview
| Models | AIME24 | MATH500 | GSM8K | GPQA-Diamond | ARC-Challenge | MMLU-Pro | MMLU | LiveCodeBench |
|---|---|---|---|---|---|---|---|---|
| o1-preview | 44.60 | 85.50 | - | 73.30 | - | - | 90.80 | - |
| o1-mini | 63.60 | 90.00 | - | 60.00 | - | 80.30 | 85.20 | 53.80 |
| deepseek-ai/DeepSeek-R1-Distill-Qwen-32B | 46.67 | 88.20 | - | 57.58 | - | - | - | - |
| Qwen/QwQ-32B-Preview | 43.33 | 87.80 | 95.45 | 49.49 | 95.73 | 63.49 | 85.19 | 51.86 |
| NovaSky-AI/Sky-T1-32B-Preview | 43.33 | 86.80 | 95.15 | 50.51 | 95.56 | 65.80 | 82.71 | 51.66 |
| Qwen/Qwen2.5-32B-Instruct | 20.00 | 81.60 | 93.63 | 46.46 | 95.22 | 56.27 | 79.63 | 48.53 |
| FuseAI/FuseO1-DeekSeekR1-Qwen2.5-Instruct-32B-Preview | 46.67 | 87.20 | - | 55.05 | - | - | - | - |
| FuseAI/FuseO1-DeekSeekR1-QwQ-32B-Preview | 56.67 | 85.60 | - | 62.12 | - | - | - | - |
| FuseAI/FuseO1-DeekSeekR1-QwQ-SkyT1-32B-Preview | 60.00 | 90.00 | - | 62.12 | - | - | - | - |
Could you consider upload gguf for this model? Thanks!
@AaronFeng753 Hey I've seen you around lately, I just got the Q4_K_M of that to try from the "official" repo: https://huggingface.co/FuseAI/FuseO1-DeekSeekR1-QwQ-SkyT1-32B-Preview-GGUF/tree/main
But yeah folks including myself like bartowski's IQ flavors too!
Curious to see how the new DeepSeek-R1-Distill merges pan out!
I plana to make this soon, pipeline is clogged with R1 full haha :)