Instructions to use VladHong/llama-cpp-K2-FAST2 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 VladHong/llama-cpp-K2-FAST2 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 VladHong/llama-cpp-K2-FAST2 # Run inference directly in the terminal: llama cli -hf VladHong/llama-cpp-K2-FAST2
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf VladHong/llama-cpp-K2-FAST2 # Run inference directly in the terminal: llama cli -hf VladHong/llama-cpp-K2-FAST2
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 VladHong/llama-cpp-K2-FAST2 # Run inference directly in the terminal: ./build/bin/llama cli -hf VladHong/llama-cpp-K2-FAST2
Use Docker
docker model run hf.co/VladHong/llama-cpp-K2-FAST2
- Llama new
- LM Studio
- Jan
- Ollama
How to use VladHong/llama-cpp-K2-FAST2 with Ollama:
ollama run hf.co/VladHong/llama-cpp-K2-FAST2
- Unsloth Desktop
- Docker Model Runner
How to use VladHong/llama-cpp-K2-FAST2 with Docker Model Runner:
docker model run hf.co/VladHong/llama-cpp-K2-FAST2
- Lemonade
How to use VladHong/llama-cpp-K2-FAST2 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull VladHong/llama-cpp-K2-FAST2
Run and chat with the model
lemonade run user.llama-cpp-K2-FAST2-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
Download .github/workflows/python-lint.yml from VladHong/llama-cpp-K2-FAST2: direct link, hf CLI and curl.
- Browser
- Download file 841 Bytes
-
https://huggingface.co/VladHong/llama-cpp-K2-FAST2/resolve/main/.github/workflows/python-lint.yml
- Command line
-
hf download hf://VladHong/llama-cpp-K2-FAST2/.github/workflows/python-lint.yml
-
curl -L -o python-lint.yml https://huggingface.co/VladHong/llama-cpp-K2-FAST2/resolve/main/.github/workflows/python-lint.yml
841 Bytes
| name: flake8 Lint | |
| on: | |
| push: | |
| branches: | |
| - master | |
| paths: [ | |
| '.github/workflows/python-lint.yml', | |
| '**/*.py' | |
| ] | |
| pull_request: | |
| types: [opened, synchronize, reopened] | |
| paths: [ | |
| '.github/workflows/python-lint.yml', | |
| '**/*.py' | |
| ] | |
| concurrency: | |
| group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }} | |
| cancel-in-progress: true | |
| jobs: | |
| flake8-lint: | |
| runs-on: [self-hosted, fast] | |
| name: Lint | |
| steps: | |
| - name: Check out source repository | |
| uses: actions/checkout@v6 | |
| - name: Set up Python environment | |
| uses: actions/setup-python@v6 | |
| with: | |
| python-version: "3.11" | |
| - name: flake8 Lint | |
| uses: py-actions/flake8@84ec6726560b6d5bd68f2a5bed83d62b52bb50ba # v2 | |
| with: | |
| plugins: "flake8-no-print" | |