Instructions to use bartowski/DeepSeek-Coder-V2-Instruct-0724-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use bartowski/DeepSeek-Coder-V2-Instruct-0724-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-Coder-V2-Instruct-0724-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf bartowski/DeepSeek-Coder-V2-Instruct-0724-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-Coder-V2-Instruct-0724-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf bartowski/DeepSeek-Coder-V2-Instruct-0724-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-Coder-V2-Instruct-0724-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf bartowski/DeepSeek-Coder-V2-Instruct-0724-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-Coder-V2-Instruct-0724-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf bartowski/DeepSeek-Coder-V2-Instruct-0724-GGUF:Q4_K_M
Use Docker
docker model run hf.co/bartowski/DeepSeek-Coder-V2-Instruct-0724-GGUF:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use bartowski/DeepSeek-Coder-V2-Instruct-0724-GGUF with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "bartowski/DeepSeek-Coder-V2-Instruct-0724-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-Coder-V2-Instruct-0724-GGUF", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/bartowski/DeepSeek-Coder-V2-Instruct-0724-GGUF:Q4_K_M
- Ollama
How to use bartowski/DeepSeek-Coder-V2-Instruct-0724-GGUF with Ollama:
ollama run hf.co/bartowski/DeepSeek-Coder-V2-Instruct-0724-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use bartowski/DeepSeek-Coder-V2-Instruct-0724-GGUF with Docker Model Runner:
docker model run hf.co/bartowski/DeepSeek-Coder-V2-Instruct-0724-GGUF:Q4_K_M
- Lemonade
How to use bartowski/DeepSeek-Coder-V2-Instruct-0724-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull bartowski/DeepSeek-Coder-V2-Instruct-0724-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.DeepSeek-Coder-V2-Instruct-0724-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Ctrl+K
- DeepSeek-Coder-V2-Instruct-0724-IQ1_M
- DeepSeek-Coder-V2-Instruct-0724-IQ2_M
- DeepSeek-Coder-V2-Instruct-0724-IQ2_XS
- DeepSeek-Coder-V2-Instruct-0724-IQ2_XXS
- DeepSeek-Coder-V2-Instruct-0724-IQ3_M
- DeepSeek-Coder-V2-Instruct-0724-IQ3_XXS
- DeepSeek-Coder-V2-Instruct-0724-IQ4_XS
- DeepSeek-Coder-V2-Instruct-0724-Q2_K
- DeepSeek-Coder-V2-Instruct-0724-Q2_K_L
- DeepSeek-Coder-V2-Instruct-0724-Q3_K_L
- DeepSeek-Coder-V2-Instruct-0724-Q3_K_M
- DeepSeek-Coder-V2-Instruct-0724-Q3_K_S
- DeepSeek-Coder-V2-Instruct-0724-Q3_K_XL
- DeepSeek-Coder-V2-Instruct-0724-Q4_0
- DeepSeek-Coder-V2-Instruct-0724-Q4_K_M
- DeepSeek-Coder-V2-Instruct-0724-Q5_K_M
- DeepSeek-Coder-V2-Instruct-0724-Q6_K
- DeepSeek-Coder-V2-Instruct-0724-Q8_0
- 9.97 kB
- 456 MB xet
- 9.31 kB