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/build-info.sh from VladHong/llama-cpp-K2-FAST2: direct link, hf CLI and curl.
- Browser
- Download file 717 Bytes
-
https://huggingface.co/VladHong/llama-cpp-K2-FAST2/resolve/main/scripts/build-info.sh
- Command line
-
hf download hf://VladHong/llama-cpp-K2-FAST2/scripts/build-info.sh
-
curl -L -o build-info.sh https://huggingface.co/VladHong/llama-cpp-K2-FAST2/resolve/main/scripts/build-info.sh
717 Bytes
| CC=$1 | |
| build_number="0" | |
| build_commit="unknown" | |
| build_compiler="unknown" | |
| build_target="unknown" | |
| if out=$(git rev-list --count HEAD); then | |
| # git is broken on WSL so we need to strip extra newlines | |
| build_number=$(printf '%s' "$out" | tr -d '\n') | |
| fi | |
| if out=$(git rev-parse --short HEAD); then | |
| build_commit=$(printf '%s' "$out" | tr -d '\n') | |
| fi | |
| if out=$($CC --version | head -1); then | |
| build_compiler=$out | |
| fi | |
| if out=$($CC -dumpmachine); then | |
| build_target=$out | |
| fi | |
| echo "int LLAMA_BUILD_NUMBER = ${build_number};" | |
| echo "char const *LLAMA_COMMIT = \"${build_commit}\";" | |
| echo "char const *LLAMA_COMPILER = \"${build_compiler}\";" | |
| echo "char const *LLAMA_BUILD_TARGET = \"${build_target}\";" | |