Instructions to use IntelLabsChina/CAT-Q 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 IntelLabsChina/CAT-Q 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 IntelLabsChina/CAT-Q:Q2_0 # Run inference directly in the terminal: llama cli -hf IntelLabsChina/CAT-Q:Q2_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf IntelLabsChina/CAT-Q:Q2_0 # Run inference directly in the terminal: llama cli -hf IntelLabsChina/CAT-Q:Q2_0
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 IntelLabsChina/CAT-Q:Q2_0 # Run inference directly in the terminal: ./build/bin/llama cli -hf IntelLabsChina/CAT-Q:Q2_0
Use Docker
docker model run hf.co/IntelLabsChina/CAT-Q:Q2_0
- Llama new
- LM Studio
- Jan
- Ollama
How to use IntelLabsChina/CAT-Q with Ollama:
ollama run hf.co/IntelLabsChina/CAT-Q:Q2_0
- Unsloth Desktop
- Docker Model Runner
How to use IntelLabsChina/CAT-Q with Docker Model Runner:
docker model run hf.co/IntelLabsChina/CAT-Q:Q2_0
- Lemonade
How to use IntelLabsChina/CAT-Q with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull IntelLabsChina/CAT-Q:Q2_0
Run and chat with the model
lemonade run user.CAT-Q-Q2_0
List all available models
lemonade list
- Atomic Chat
Download llama2-7b/parameters.pth from IntelLabsChina/CAT-Q: direct link, hf CLI and curl.
- Browser
- Download file 1.25 GB
-
https://huggingface.co/IntelLabsChina/CAT-Q/resolve/main/llama2-7b/parameters.pth
- Command line
-
hf download hf://IntelLabsChina/CAT-Q/llama2-7b/parameters.pth
-
curl -L -o parameters.pth https://huggingface.co/IntelLabsChina/CAT-Q/resolve/main/llama2-7b/parameters.pth
1.25 GB
- Xet hash:
- 1667ec640db4e6a7f4ac8371c5f76497a56ddae4148b219aaac9c7c1fedb8385
- Size of remote file:
- 1.25 GB
- SHA256:
- 51d3098222444f65e96a123c7889ab46b7fd3fcbd07495819b5dcb9c1d7d7bf8
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