GGUF
mistral
imatrix
How to use from
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 mmnga/Mistral-Large-Instruct-2407-gguf:
# Run inference directly in the terminal:
llama cli -hf mmnga/Mistral-Large-Instruct-2407-gguf:
Install from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf mmnga/Mistral-Large-Instruct-2407-gguf:
# Run inference directly in the terminal:
llama cli -hf mmnga/Mistral-Large-Instruct-2407-gguf:
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 mmnga/Mistral-Large-Instruct-2407-gguf:
# Run inference directly in the terminal:
./llama-cli -hf mmnga/Mistral-Large-Instruct-2407-gguf:
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 mmnga/Mistral-Large-Instruct-2407-gguf:
# Run inference directly in the terminal:
./build/bin/llama-cli -hf mmnga/Mistral-Large-Instruct-2407-gguf:
Use Docker
docker model run hf.co/mmnga/Mistral-Large-Instruct-2407-gguf:
Quick Links

Mistral-Large-Instruct-2407-gguf

mistralaiさんが公開しているMistral-Large-Instruct-2407のggufフォーマット変換版です。

imatrixのデータはTFMC/imatrix-dataset-for-japanese-llmを使用して作成しました。

Usage

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
make -j
./llama-cli -m 'Mistral-Large-Instruct-2407-Q4_0.gguf' -n 128 -p '[INST] 今晩の夕食のレシピを教えて。 [/INST]'
Downloads last month
484
GGUF
Model size
123B params
Architecture
llama
Hardware compatibility
Log In to add your hardware

1-bit

2-bit

3-bit

Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Dataset used to train mmnga/Mistral-Large-Instruct-2407-gguf