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/check-vendor.yml from VladHong/llama-cpp-K2-FAST2: direct link, hf CLI and curl.
- Browser
- Download file 1.23 kB
-
https://huggingface.co/VladHong/llama-cpp-K2-FAST2/resolve/main/.github/workflows/check-vendor.yml
- Command line
-
hf download hf://VladHong/llama-cpp-K2-FAST2/.github/workflows/check-vendor.yml
-
curl -L -o check-vendor.yml https://huggingface.co/VladHong/llama-cpp-K2-FAST2/resolve/main/.github/workflows/check-vendor.yml
1.23 kB
| name: Check vendor | |
| on: | |
| workflow_dispatch: # allows manual triggering | |
| push: | |
| branches: | |
| - master | |
| paths: [ | |
| 'vendor/**', | |
| 'scripts/sync_vendor.py' | |
| ] | |
| pull_request: | |
| types: [opened, synchronize, reopened] | |
| paths: [ | |
| 'vendor/**', | |
| 'scripts/sync_vendor.py' | |
| ] | |
| jobs: | |
| check-vendor: | |
| runs-on: [self-hosted, fast] | |
| steps: | |
| - name: Checkout | |
| uses: actions/checkout@v6 | |
| with: | |
| fetch-depth: 0 | |
| - name: Setup Python | |
| uses: actions/setup-python@v6 | |
| with: | |
| python-version: '3.x' | |
| - name: Run vendor sync | |
| run: | | |
| set -euo pipefail | |
| python3 scripts/sync_vendor.py | |
| - name: Check for changes | |
| run: | | |
| set -euo pipefail | |
| # detect modified or untracked files | |
| changed=$(git status --porcelain --untracked-files=all || true) | |
| if [ -n "$changed" ]; then | |
| echo "Vendor sync modified files:" | |
| echo "$changed" | awk '{ print $2 }' | sed '/^$/d' | |
| echo "Failing because vendor files mismatch. Please update scripts/sync_vendor.py" | |
| exit 1 | |
| else | |
| echo "Vendor files are up-to-date." | |
| fi | |