Image-Text-to-Text
GGUF
MistralAI
Ministral
Ministral-3
Ollama
Llama.cpp
GGUF
Image-Text-to-Text
Conversational
Quantize
Multimodal
Mistral3
conversational
Instructions to use EnlistedGhost/Ministral-3-3B-Instruct-2512-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 EnlistedGhost/Ministral-3-3B-Instruct-2512-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 EnlistedGhost/Ministral-3-3B-Instruct-2512-GGUF:Q4_K_XL # Run inference directly in the terminal: llama cli -hf EnlistedGhost/Ministral-3-3B-Instruct-2512-GGUF:Q4_K_XL
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf EnlistedGhost/Ministral-3-3B-Instruct-2512-GGUF:Q4_K_XL # Run inference directly in the terminal: llama cli -hf EnlistedGhost/Ministral-3-3B-Instruct-2512-GGUF:Q4_K_XL
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 EnlistedGhost/Ministral-3-3B-Instruct-2512-GGUF:Q4_K_XL # Run inference directly in the terminal: ./llama-cli -hf EnlistedGhost/Ministral-3-3B-Instruct-2512-GGUF:Q4_K_XL
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 EnlistedGhost/Ministral-3-3B-Instruct-2512-GGUF:Q4_K_XL # Run inference directly in the terminal: ./build/bin/llama-cli -hf EnlistedGhost/Ministral-3-3B-Instruct-2512-GGUF:Q4_K_XL
Use Docker
docker model run hf.co/EnlistedGhost/Ministral-3-3B-Instruct-2512-GGUF:Q4_K_XL
- LM Studio
- Jan
- vLLM
How to use EnlistedGhost/Ministral-3-3B-Instruct-2512-GGUF with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "EnlistedGhost/Ministral-3-3B-Instruct-2512-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": "EnlistedGhost/Ministral-3-3B-Instruct-2512-GGUF", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }'Use Docker
docker model run hf.co/EnlistedGhost/Ministral-3-3B-Instruct-2512-GGUF:Q4_K_XL
- Ollama
How to use EnlistedGhost/Ministral-3-3B-Instruct-2512-GGUF with Ollama:
ollama run hf.co/EnlistedGhost/Ministral-3-3B-Instruct-2512-GGUF:Q4_K_XL
- Unsloth Desktop
- Docker Model Runner
How to use EnlistedGhost/Ministral-3-3B-Instruct-2512-GGUF with Docker Model Runner:
docker model run hf.co/EnlistedGhost/Ministral-3-3B-Instruct-2512-GGUF:Q4_K_XL
- Lemonade
How to use EnlistedGhost/Ministral-3-3B-Instruct-2512-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull EnlistedGhost/Ministral-3-3B-Instruct-2512-GGUF:Q4_K_XL
Run and chat with the model
lemonade run user.Ministral-3-3B-Instruct-2512-GGUF-Q4_K_XL
List all available models
lemonade list
- Atomic Chat
Full Replace with High-Quality GH05T Quant GGUF File(s)
Browse files- .gitattributes +12 -0
- Ministral-3-3B-Instruct-2512-F16.gguf +3 -0
- Ministral-3-3B-Instruct-2512-GH05T-IQ2_M.gguf +3 -0
- Ministral-3-3B-Instruct-2512-GH05T-IQ3_M.gguf +3 -0
- Ministral-3-3B-Instruct-2512-GH05T-IQ4_XS.gguf +3 -0
- Ministral-3-3B-Instruct-2512-GH05T-Q2_K_L.gguf +3 -0
- Ministral-3-3B-Instruct-2512-GH05T-Q3_K_L.gguf +3 -0
- Ministral-3-3B-Instruct-2512-GH05T-Q4_K_XL.gguf +3 -0
- Ministral-3-3B-Instruct-2512-GH05T-Q5_K_XL.gguf +3 -0
- Ministral-3-3B-Instruct-2512-GH05T-Q6_K_L.gguf +3 -0
- Ministral-3-3B-Instruct-2512-GH05T-Q8_0_L.gguf +3 -0
- mmproj-Ministral-3-3B-Instruct-2512-F16.gguf +3 -0
- mmproj-Ministral-3-3B-Instruct-2512-F32.gguf +3 -0
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