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/pre-tokenizer-hashes.yml from VladHong/llama-cpp-K2-FAST2: direct link, hf CLI and curl.
- Browser
- Download file 1.57 kB
-
https://huggingface.co/VladHong/llama-cpp-K2-FAST2/resolve/main/.github/workflows/pre-tokenizer-hashes.yml
- Command line
-
hf download hf://VladHong/llama-cpp-K2-FAST2/.github/workflows/pre-tokenizer-hashes.yml
-
curl -L -o pre-tokenizer-hashes.yml https://huggingface.co/VladHong/llama-cpp-K2-FAST2/resolve/main/.github/workflows/pre-tokenizer-hashes.yml
1.57 kB
| name: Check Pre-Tokenizer Hashes | |
| on: | |
| push: | |
| paths: | |
| - 'conversion/base.py' | |
| - 'convert_hf_to_gguf_update.py' | |
| pull_request: | |
| paths: | |
| - 'conversion/base.py' | |
| - 'convert_hf_to_gguf_update.py' | |
| jobs: | |
| pre-tokenizer-hashes: | |
| runs-on: [self-hosted, fast] | |
| steps: | |
| - name: Checkout repository | |
| uses: actions/checkout@v6 | |
| - name: Set up Python | |
| uses: actions/setup-python@v6 | |
| with: | |
| python-version: '3.11' | |
| - name: Install Python dependencies | |
| run: | | |
| python3 -m venv .venv | |
| .venv/bin/pip install -r requirements/requirements-convert_hf_to_gguf_update.txt | |
| - name: Update pre-tokenizer hashes | |
| run: | | |
| cp conversion/base.py /tmp | |
| .venv/bin/python convert_hf_to_gguf_update.py --check-missing | |
| - name: Check if committed pre-tokenizer hashes matches generated version | |
| run: | | |
| if ! diff -q conversion/base.py /tmp/base.py; then | |
| echo "Model pre-tokenizer hashes (in conversion/base.py) do not match generated hashes (from convert_hf_to_gguf_update.py)." | |
| echo "To fix: run ./convert_hf_to_gguf_update.py and commit the updated conversion/base.py along with your changes" | |
| echo "Differences found:" | |
| diff conversion/base.py /tmp/base.py || true | |
| exit 1 | |
| fi | |
| echo "Model pre-tokenizer hashes are up to date." | |