Instructions to use bartowski/Mistral-NeMo-Minitron-8B-Instruct-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/Mistral-NeMo-Minitron-8B-Instruct-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/Mistral-NeMo-Minitron-8B-Instruct-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf bartowski/Mistral-NeMo-Minitron-8B-Instruct-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/Mistral-NeMo-Minitron-8B-Instruct-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf bartowski/Mistral-NeMo-Minitron-8B-Instruct-GGUF:Q4_K_M
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf bartowski/Mistral-NeMo-Minitron-8B-Instruct-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama cli -hf bartowski/Mistral-NeMo-Minitron-8B-Instruct-GGUF:Q4_K_M
Use Docker
docker model run hf.co/bartowski/Mistral-NeMo-Minitron-8B-Instruct-GGUF:Q4_K_M
- Llama new
- LM Studio
- Jan
- vLLM
How to use bartowski/Mistral-NeMo-Minitron-8B-Instruct-GGUF with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "bartowski/Mistral-NeMo-Minitron-8B-Instruct-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/Mistral-NeMo-Minitron-8B-Instruct-GGUF", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/bartowski/Mistral-NeMo-Minitron-8B-Instruct-GGUF:Q4_K_M
- Ollama
How to use bartowski/Mistral-NeMo-Minitron-8B-Instruct-GGUF with Ollama:
ollama run hf.co/bartowski/Mistral-NeMo-Minitron-8B-Instruct-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use bartowski/Mistral-NeMo-Minitron-8B-Instruct-GGUF with Docker Model Runner:
docker model run hf.co/bartowski/Mistral-NeMo-Minitron-8B-Instruct-GGUF:Q4_K_M
- Lemonade
How to use bartowski/Mistral-NeMo-Minitron-8B-Instruct-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull bartowski/Mistral-NeMo-Minitron-8B-Instruct-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.Mistral-NeMo-Minitron-8B-Instruct-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Ctrl+K
- 3.56 kB
- 3.1 GB xet
- 3.98 GB xet
- 3.68 GB xet
- 4.66 GB xet
- 3.33 GB xet
- 3.86 GB xet
- 4.54 GB xet
- 4.21 GB xet
- 3.83 GB xet
- 5.01 GB xet
- 4.9 GB xet
- 4.88 GB xet
- 4.88 GB xet
- 4.88 GB xet
- 5.54 GB xet
- 5.15 GB xet
- 4.91 GB xet
- 6.33 GB xet
- 6 GB xet
- 5.86 GB xet
- 6.91 GB xet
- 7.17 GB xet
- 8.95 GB xet
- 16.8 GB xet
- 5.78 MB xet
- 11.2 kB