Instructions to use NexesQuants/MIstral-QUantized-70b_Miqu-1-70b-iMat.GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use NexesQuants/MIstral-QUantized-70b_Miqu-1-70b-iMat.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 NexesQuants/MIstral-QUantized-70b_Miqu-1-70b-iMat.GGUF:Q4_K_S
# Run inference directly in the terminal:
llama cli -hf NexesQuants/MIstral-QUantized-70b_Miqu-1-70b-iMat.GGUF:Q4_K_S

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf NexesQuants/MIstral-QUantized-70b_Miqu-1-70b-iMat.GGUF:Q4_K_S
# Run inference directly in the terminal:
llama cli -hf NexesQuants/MIstral-QUantized-70b_Miqu-1-70b-iMat.GGUF:Q4_K_S

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 NexesQuants/MIstral-QUantized-70b_Miqu-1-70b-iMat.GGUF:Q4_K_S
# Run inference directly in the terminal:
./llama-cli -hf NexesQuants/MIstral-QUantized-70b_Miqu-1-70b-iMat.GGUF:Q4_K_S

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 NexesQuants/MIstral-QUantized-70b_Miqu-1-70b-iMat.GGUF:Q4_K_S
# Run inference directly in the terminal:
./build/bin/llama-cli -hf NexesQuants/MIstral-QUantized-70b_Miqu-1-70b-iMat.GGUF:Q4_K_S

Use Docker

docker model run hf.co/NexesQuants/MIstral-QUantized-70b_Miqu-1-70b-iMat.GGUF:Q4_K_S

LM Studio
Jan
Ollama
How to use NexesQuants/MIstral-QUantized-70b_Miqu-1-70b-iMat.GGUF with Ollama:
```
ollama run hf.co/NexesQuants/MIstral-QUantized-70b_Miqu-1-70b-iMat.GGUF:Q4_K_S
```
Unsloth Desktop
Docker Model Runner
How to use NexesQuants/MIstral-QUantized-70b_Miqu-1-70b-iMat.GGUF with Docker Model Runner:
```
docker model run hf.co/NexesQuants/MIstral-QUantized-70b_Miqu-1-70b-iMat.GGUF:Q4_K_S
```

Lemonade

How to use NexesQuants/MIstral-QUantized-70b_Miqu-1-70b-iMat.GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull NexesQuants/MIstral-QUantized-70b_Miqu-1-70b-iMat.GGUF:Q4_K_S

Run and chat with the model

lemonade run user.MIstral-QUantized-70b_Miqu-1-70b-iMat.GGUF-Q4_K_S

List all available models

lemonade list

Atomic Chat

MIstral-QUantized-70b_Miqu-1-70b-iMat.GGUF

691 GB

Ctrl+K

1 contributor

History: 90 commits

Nexesenex

Upload miqu-1-70b-Requant-iMat-IQ3_XXXL2.gguf

ddbd4ad verified almost 2 years ago