Instructions to use unsloth/DeepSeek-R1-Zero-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use unsloth/DeepSeek-R1-Zero-GGUF with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("unsloth/DeepSeek-R1-Zero-GGUF", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use unsloth/DeepSeek-R1-Zero-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 unsloth/DeepSeek-R1-Zero-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf unsloth/DeepSeek-R1-Zero-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 unsloth/DeepSeek-R1-Zero-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf unsloth/DeepSeek-R1-Zero-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 unsloth/DeepSeek-R1-Zero-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf unsloth/DeepSeek-R1-Zero-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 unsloth/DeepSeek-R1-Zero-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf unsloth/DeepSeek-R1-Zero-GGUF:Q4_K_M
Use Docker
docker model run hf.co/unsloth/DeepSeek-R1-Zero-GGUF:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use unsloth/DeepSeek-R1-Zero-GGUF with Ollama:
ollama run hf.co/unsloth/DeepSeek-R1-Zero-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use unsloth/DeepSeek-R1-Zero-GGUF with Docker Model Runner:
docker model run hf.co/unsloth/DeepSeek-R1-Zero-GGUF:Q4_K_M
- Lemonade
How to use unsloth/DeepSeek-R1-Zero-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull unsloth/DeepSeek-R1-Zero-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.DeepSeek-R1-Zero-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Do you have plan to quantize this to 1.58bit?
#1
by Dango233 - opened
The 1.58 bit quantization of R1 is awesome! Do you have plan to quantize this as well?
The 1.58 bit quantization of R1 is awesome! Do you have plan to quantize this as well?
Maybe it depends on popularity as it's very expensive and timeconsuming
I'd like to see this. R1-zero would be amazing at 1.58bit.