Instructions to use DOFOFFICIAL/DeepSeek-R1-0528-Qwen3-8B-Correct-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DOFOFFICIAL/DeepSeek-R1-0528-Qwen3-8B-Correct-GGUF with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("DOFOFFICIAL/DeepSeek-R1-0528-Qwen3-8B-Correct-GGUF", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use DOFOFFICIAL/DeepSeek-R1-0528-Qwen3-8B-Correct-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 DOFOFFICIAL/DeepSeek-R1-0528-Qwen3-8B-Correct-GGUF:BF16 # Run inference directly in the terminal: llama cli -hf DOFOFFICIAL/DeepSeek-R1-0528-Qwen3-8B-Correct-GGUF:BF16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf DOFOFFICIAL/DeepSeek-R1-0528-Qwen3-8B-Correct-GGUF:BF16 # Run inference directly in the terminal: llama cli -hf DOFOFFICIAL/DeepSeek-R1-0528-Qwen3-8B-Correct-GGUF:BF16
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 DOFOFFICIAL/DeepSeek-R1-0528-Qwen3-8B-Correct-GGUF:BF16 # Run inference directly in the terminal: ./llama-cli -hf DOFOFFICIAL/DeepSeek-R1-0528-Qwen3-8B-Correct-GGUF:BF16
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 DOFOFFICIAL/DeepSeek-R1-0528-Qwen3-8B-Correct-GGUF:BF16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf DOFOFFICIAL/DeepSeek-R1-0528-Qwen3-8B-Correct-GGUF:BF16
Use Docker
docker model run hf.co/DOFOFFICIAL/DeepSeek-R1-0528-Qwen3-8B-Correct-GGUF:BF16
- LM Studio
- Jan
- Ollama
How to use DOFOFFICIAL/DeepSeek-R1-0528-Qwen3-8B-Correct-GGUF with Ollama:
ollama run hf.co/DOFOFFICIAL/DeepSeek-R1-0528-Qwen3-8B-Correct-GGUF:BF16
- Unsloth Desktop
- Docker Model Runner
How to use DOFOFFICIAL/DeepSeek-R1-0528-Qwen3-8B-Correct-GGUF with Docker Model Runner:
docker model run hf.co/DOFOFFICIAL/DeepSeek-R1-0528-Qwen3-8B-Correct-GGUF:BF16
- Lemonade
How to use DOFOFFICIAL/DeepSeek-R1-0528-Qwen3-8B-Correct-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull DOFOFFICIAL/DeepSeek-R1-0528-Qwen3-8B-Correct-GGUF:BF16
Run and chat with the model
lemonade run user.DeepSeek-R1-0528-Qwen3-8B-Correct-GGUF-BF16
List all available models
lemonade list
- Atomic Chat
Download DeepSeek-R1-0528-Qwen3-8B-BF16.gguf from DOFOFFICIAL/DeepSeek-R1-0528-Qwen3-8B-Correct-GGUF: direct link, hf CLI and curl.
- Browser
- Download file 16.4 GB
-
https://huggingface.co/DOFOFFICIAL/DeepSeek-R1-0528-Qwen3-8B-Correct-GGUF/resolve/c31e4d4964b4679c8d20c50901bde3b80909d89d/DeepSeek-R1-0528-Qwen3-8B-BF16.gguf
- Command line
-
hf download hf://DOFOFFICIAL/DeepSeek-R1-0528-Qwen3-8B-Correct-GGUF@c31e4d4964b4679c8d20c50901bde3b80909d89d/DeepSeek-R1-0528-Qwen3-8B-BF16.gguf
-
curl -L -o DeepSeek-R1-0528-Qwen3-8B-BF16.gguf https://huggingface.co/DOFOFFICIAL/DeepSeek-R1-0528-Qwen3-8B-Correct-GGUF/resolve/c31e4d4964b4679c8d20c50901bde3b80909d89d/DeepSeek-R1-0528-Qwen3-8B-BF16.gguf
16.4 GB
- Xet hash:
- a88ce5ebbe4042d96e16641e80e978a5bd3aa09f478a7bbab070db9b72d58d4a
- Size of remote file:
- 16.4 GB
- SHA256:
- 03cb3a79aa0ae395273e02fcffe73f757b7d90d289138861f26ffa964d0d1b73
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