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
File size: 1,637 Bytes
c59fd93 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 | #!/bin/bash
# Development script for llama-ui
#
# This script starts the llama-ui development servers (Storybook and Vite).
# Note: You need to start llama-server separately.
#
# Usage:
# bash scripts/dev.sh
# npm run dev
cd ../../
# Ensure node_modules are installed
if [ ! -d "tools/ui/node_modules" ]; then
echo "📦 Installing npm dependencies..."
cd tools/ui && npm ci && cd ../../
fi
# Check and install git hooks if missing
check_and_install_hooks() {
local hooks_missing=false
# Check for required hooks
if [ ! -f ".git/hooks/pre-commit" ] || [ ! -f ".git/hooks/pre-push" ]; then
hooks_missing=true
fi
if [ "$hooks_missing" = true ]; then
echo "🔧 Git hooks missing, installing them..."
if bash "$(dirname "$0")/git-hooks/install.sh"; then
echo "✅ Git hooks installed successfully"
else
echo "⚠️ Failed to install git hooks, continuing anyway..."
fi
else
echo "✅ Git hooks already installed"
fi
}
# Install git hooks if needed
check_and_install_hooks
# Cleanup function
cleanup() {
echo "🧹 Cleaning up..."
exit
}
# Set up signal handlers
trap cleanup SIGINT SIGTERM
echo "🚀 Starting development servers..."
echo "📝 Note: Make sure to start llama-server separately if needed"
cd tools/ui
# Use --insecure-http-parser to handle malformed HTTP responses from llama-server
# (some responses have both Content-Length and Transfer-Encoding headers)
storybook dev -p 6006 --ci & NODE_OPTIONS="--insecure-http-parser" vite dev --host 0.0.0.0 &
# Wait for all background processes
wait
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