Instructions to use EnlistedGhost/Mistral-Small-4-119B-2603-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/Mistral-Small-4-119B-2603-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/Mistral-Small-4-119B-2603-GGUF:Q4_K_XL # Run inference directly in the terminal: llama cli -hf EnlistedGhost/Mistral-Small-4-119B-2603-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/Mistral-Small-4-119B-2603-GGUF:Q4_K_XL # Run inference directly in the terminal: llama cli -hf EnlistedGhost/Mistral-Small-4-119B-2603-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/Mistral-Small-4-119B-2603-GGUF:Q4_K_XL # Run inference directly in the terminal: ./llama-cli -hf EnlistedGhost/Mistral-Small-4-119B-2603-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/Mistral-Small-4-119B-2603-GGUF:Q4_K_XL # Run inference directly in the terminal: ./build/bin/llama-cli -hf EnlistedGhost/Mistral-Small-4-119B-2603-GGUF:Q4_K_XL
Use Docker
docker model run hf.co/EnlistedGhost/Mistral-Small-4-119B-2603-GGUF:Q4_K_XL
- LM Studio
- Jan
- Ollama
How to use EnlistedGhost/Mistral-Small-4-119B-2603-GGUF with Ollama:
ollama run hf.co/EnlistedGhost/Mistral-Small-4-119B-2603-GGUF:Q4_K_XL
- Unsloth Desktop
- Docker Model Runner
How to use EnlistedGhost/Mistral-Small-4-119B-2603-GGUF with Docker Model Runner:
docker model run hf.co/EnlistedGhost/Mistral-Small-4-119B-2603-GGUF:Q4_K_XL
- Lemonade
How to use EnlistedGhost/Mistral-Small-4-119B-2603-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull EnlistedGhost/Mistral-Small-4-119B-2603-GGUF:Q4_K_XL
Run and chat with the model
lemonade run user.Mistral-Small-4-119B-2603-GGUF-Q4_K_XL
List all available models
lemonade list
- Atomic Chat
Mistral-Small-4-119B-A6B | GGUF Edition
Coversion Details (Safetensors --> GGUF)
- Converter: Llama.cpp (Build 9888)
- Quantizer: Llama.cpp (Build 9840)
Info
___
Thank You for Viewing This Release!
Model files (GGUF) are still being uploaded.
This modelcard will be updated soon!
Your understanding and patience is very much appreciated.
- Mistral-Small-4-119B-A6B is a huge model in physical storage size
and due to this: Uploads are taking longer than expected.*
Technical Details
___________________
These quantized GGUF files found in this release are unique
in the sense that when initially converting
this model it was observed that there are native Float32 (F32) weights in the layers.
Upon realizing this during the initial conversion;the model was then re-converted using an "F32" flag in Llama.cpp (Version 9888)
prior to being quantized.
(This was done in order to snub quality loss compared to converting to BF16 or F16 conversion+quantize)
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Base model
mistralai/Mistral-Small-4-119B-2603
docker model run hf.co/EnlistedGhost/Mistral-Small-4-119B-2603-GGUF: