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 tools/ui/src/lib/constants/error.constants.ts 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/tools/ui/src/lib/constants/error.constants.ts
- Command line
-
hf download hf://VladHong/llama-cpp-K2-FAST2/tools/ui/src/lib/constants/error.constants.ts
-
curl -L -o error.constants.ts https://huggingface.co/VladHong/llama-cpp-K2-FAST2/resolve/main/tools/ui/src/lib/constants/error.constants.ts
745 Bytes
| export const ERROR_MESSAGES = { | |
| HTTP: { | |
| ACCESS_DENIED: 'Access denied', | |
| GENERIC: 'Request failed', | |
| INTERNAL_ERROR: 'Server error - check server logs', | |
| NOT_FOUND: 'Not found', | |
| TEMPORARILY_UNAVAILABLE: 'Server temporarily unavailable' | |
| }, | |
| NETWORK: { | |
| GENERIC: 'Failed to connect to server', | |
| NXDOMAIN: 'Server not found - check server address', | |
| REFUSED: 'Connection refused - server may be offline', | |
| TIMEOUT: 'Request timed out', | |
| UNREACHABLE: 'Server is not running or unreachable' | |
| } | |
| }; | |
| export const HTTP_CODE_TO_STRING: Record<string, string> = { | |
| 401: ERROR_MESSAGES.HTTP.ACCESS_DENIED, | |
| 403: ERROR_MESSAGES.HTTP.ACCESS_DENIED, | |
| 500: ERROR_MESSAGES.HTTP.INTERNAL_ERROR, | |
| 503: ERROR_MESSAGES.HTTP.TEMPORARILY_UNAVAILABLE | |
| }; | |