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/utils/browser-only.ts from VladHong/llama-cpp-K2-FAST2: direct link, hf CLI and curl.
- Browser
- Download file 1.14 kB
-
https://huggingface.co/VladHong/llama-cpp-K2-FAST2/resolve/main/tools/ui/src/lib/utils/browser-only.ts
- Command line
-
hf download hf://VladHong/llama-cpp-K2-FAST2/tools/ui/src/lib/utils/browser-only.ts
-
curl -L -o browser-only.ts https://huggingface.co/VladHong/llama-cpp-K2-FAST2/resolve/main/tools/ui/src/lib/utils/browser-only.ts
1.14 kB
| /** | |
| * Browser-only utility exports | |
| * | |
| * These utilities require browser APIs (DOM, Canvas, MediaRecorder, etc.) | |
| * and cannot be imported during SSR. Import from '$lib/utils/browser-only' | |
| * only in client-side code or components that are not server-rendered. | |
| */ | |
| // Audio utilities (MediaRecorder API) | |
| export { | |
| AudioRecorder, | |
| convertToWav, | |
| createAudioFile, | |
| isAudioRecordingSupported | |
| } from './audio-recording'; | |
| // PDF processing utilities (pdfjs-dist with DOMMatrix) | |
| export { | |
| convertPDFToText, | |
| convertPDFToImage, | |
| isPdfFile as isPdfFileFromFile, | |
| isApplicationMimeType | |
| } from './pdf-processing'; | |
| // File conversion utilities (depends on pdf-processing) | |
| export { parseFilesToMessageExtras } from './convert-files-to-extra'; | |
| // File upload processing utilities (depends on pdf-processing, svg-to-png, webp-to-png) | |
| export { processFilesToChatUploaded } from './process-uploaded-files'; | |
| // SVG utilities (Canvas/Image API) | |
| export { svgBase64UrlToPngDataURL, isSvgFile, isSvgMimeType } from './svg-to-png'; | |
| // WebP utilities (Canvas/Image API) | |
| export { webpBase64UrlToPngDataURL, isWebpFile, isWebpMimeType } from './webp-to-png'; | |