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/get-wikitext-2.sh from VladHong/llama-cpp-K2-FAST2: direct link, hf CLI and curl.
- Browser
- Download file 745 Bytes
-
https://huggingface.co/VladHong/llama-cpp-K2-FAST2/resolve/main/scripts/get-wikitext-2.sh
- Command line
-
hf download hf://VladHong/llama-cpp-K2-FAST2/scripts/get-wikitext-2.sh
-
curl -L -o get-wikitext-2.sh https://huggingface.co/VladHong/llama-cpp-K2-FAST2/resolve/main/scripts/get-wikitext-2.sh
745 Bytes
| # vim: set ts=4 sw=4 et: | |
| ZIP="wikitext-2-raw-v1.zip" | |
| FILE="wikitext-2-raw/wiki.test.raw" | |
| URL="https://huggingface.co/datasets/ggml-org/ci/resolve/main/$ZIP" | |
| die() { | |
| printf "%s\n" "$@" >&2 | |
| exit 1 | |
| } | |
| have_cmd() { | |
| for cmd; do | |
| command -v "$cmd" >/dev/null || return | |
| done | |
| } | |
| dl() { | |
| [ -f "$2" ] && return | |
| if have_cmd wget; then | |
| wget "$1" -O "$2" | |
| elif have_cmd curl; then | |
| curl -L "$1" -o "$2" | |
| else | |
| die "Please install wget or curl" | |
| fi | |
| } | |
| have_cmd unzip || die "Please install unzip" | |
| if [ ! -f "$FILE" ]; then | |
| dl "$URL" "$ZIP" || exit | |
| unzip -o "$ZIP" || exit | |
| rm -f -- "$ZIP" | |
| fi | |
| cat <<EOF | |
| Usage: | |
| llama-perplexity -m model.gguf -f $FILE [other params] | |
| EOF | |