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/components/app/forms/index.ts from VladHong/llama-cpp-K2-FAST2: direct link, hf CLI and curl.
- Browser
- Download file 1.46 kB
-
https://huggingface.co/VladHong/llama-cpp-K2-FAST2/resolve/main/tools/ui/src/lib/components/app/forms/index.ts
- Command line
-
hf download hf://VladHong/llama-cpp-K2-FAST2/tools/ui/src/lib/components/app/forms/index.ts
-
curl -L -o index.ts https://huggingface.co/VladHong/llama-cpp-K2-FAST2/resolve/main/tools/ui/src/lib/components/app/forms/index.ts
1.46 kB
| /** | |
| * | |
| * FORMS & INPUTS | |
| * | |
| * Form-related utility components. | |
| * | |
| */ | |
| /** | |
| * **InputWithSuggestions** - Input field with autocomplete suggestions | |
| * | |
| * Text input with dropdown suggestions and keyboard navigation. | |
| * Supports autocomplete functionality with suggestion loading. | |
| * | |
| * **Features:** | |
| * - Autocomplete dropdown with suggestions | |
| * - Keyboard navigation (arrow keys, enter) | |
| * - Loading state for suggestions | |
| * - Focus and blur handling | |
| */ | |
| export { default as InputWithSuggestions } from './InputWithSuggestions.svelte'; | |
| /** | |
| * **KeyValuePairs** - Editable key-value list | |
| * | |
| * Dynamic list of key-value pairs with add/remove functionality. | |
| * Used for HTTP headers, metadata, and configuration. | |
| * | |
| * **Features:** | |
| * - Add new pairs with button | |
| * - Remove individual pairs | |
| * - Customizable placeholders and labels | |
| * - Empty state message | |
| * - Auto-resize value textarea | |
| */ | |
| export { default as KeyValuePairs } from './KeyValuePairs.svelte'; | |
| /** | |
| * **SearchInput** - Search field with clear button | |
| * | |
| * Input field optimized for search with clear button and keyboard handling. | |
| * Supports placeholder, autofocus, and change callbacks. | |
| */ | |
| export { default as SearchInput } from './SearchInput.svelte'; | |
| /** | |
| * **HighlightedMatch** - Substring-match text highlight | |
| * | |
| * Renders `text` with each case-insensitive occurrence of `query` wrapped | |
| * in `<mark>`. | |
| */ | |
| export { default as HighlightedMatch } from './HighlightedMatch.svelte'; | |