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 scripts/sync-ggml.sh from VladHong/llama-cpp-K2-FAST2: direct link, hf CLI and curl.
- Browser
- Download file 788 Bytes
-
https://huggingface.co/VladHong/llama-cpp-K2-FAST2/resolve/main/scripts/sync-ggml.sh
- Command line
-
hf download hf://VladHong/llama-cpp-K2-FAST2/scripts/sync-ggml.sh
-
curl -L -o sync-ggml.sh https://huggingface.co/VladHong/llama-cpp-K2-FAST2/resolve/main/scripts/sync-ggml.sh
788 Bytes
| cp -rpv ../ggml/CMakeLists.txt ./ggml/CMakeLists.txt | |
| cp -rpv ../ggml/src/CMakeLists.txt ./ggml/src/CMakeLists.txt | |
| cp -rpv ../ggml/cmake/* ./ggml/cmake/ | |
| cp -rpv ../ggml/src/ggml-cpu/cmake/* ./ggml/src/ggml-cpu/cmake/ | |
| cp -rpv ../ggml/src/ggml* ./ggml/src/ | |
| cp -rpv ../ggml/include/ggml*.h ./ggml/include/ | |
| cp -rpv ../ggml/include/gguf*.h ./ggml/include/ | |
| cp -rpv ../ggml/tests/test-opt.cpp ./tests/test-opt.cpp | |
| cp -rpv ../ggml/tests/test-quantize-fns.cpp ./tests/test-quantize-fns.cpp | |
| cp -rpv ../ggml/tests/test-quantize-perf.cpp ./tests/test-quantize-perf.cpp | |
| cp -rpv ../ggml/tests/test-backend-ops.cpp ./tests/test-backend-ops.cpp | |
| cp -rpv ../LICENSE ./LICENSE | |
| cp -rpv ../ggml/scripts/gen-authors.sh ./scripts/gen-authors.sh | |