Instructions to use qhoenix/mt-support-3g 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 qhoenix/mt-support-3g 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 qhoenix/mt-support-3g # Run inference directly in the terminal: llama cli -hf qhoenix/mt-support-3g
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf qhoenix/mt-support-3g # Run inference directly in the terminal: llama cli -hf qhoenix/mt-support-3g
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 qhoenix/mt-support-3g # Run inference directly in the terminal: ./llama-cli -hf qhoenix/mt-support-3g
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 qhoenix/mt-support-3g # Run inference directly in the terminal: ./build/bin/llama-cli -hf qhoenix/mt-support-3g
Use Docker
docker model run hf.co/qhoenix/mt-support-3g
- Llama new
- LM Studio
- Jan
- Ollama
How to use qhoenix/mt-support-3g with Ollama:
ollama run hf.co/qhoenix/mt-support-3g
- Unsloth Desktop
- Docker Model Runner
How to use qhoenix/mt-support-3g with Docker Model Runner:
docker model run hf.co/qhoenix/mt-support-3g
- Lemonade
How to use qhoenix/mt-support-3g with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull qhoenix/mt-support-3g
Run and chat with the model
lemonade run user.mt-support-3g-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
Download tokenizer.json from qhoenix/mt-support-3g: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/qhoenix/mt-support-3g/resolve/main/tokenizer.json
- Command line
-
hf download hf://qhoenix/mt-support-3g/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/qhoenix/mt-support-3g/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 4bd2f092eeec244c0448f13e31edd4b25e625568713e4155993a3dea90c7437a
- Size of remote file:
- 11.4 MB
- SHA256:
- 9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
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