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: 1,853 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 | /**
*
* MISC
*
* Miscellaneous utility components.
*
*/
/**
* **ConversationSelection** - Multi-select conversation picker
*
* List of conversations with checkboxes for multi-selection.
* Used in import/export dialogs for selecting conversations.
*
* **Features:**
* - Search/filter conversations by name
* - Select all / deselect all controls
* - Shift-click for range selection
* - Message count display per conversation
* - Mode-specific UI (export vs import)
*/
export { default as ConversationSelection } from './ConversationSelection.svelte';
/**
* **TruncatedText** - Text with ellipsis and tooltip
*
* Displays text with automatic truncation and full content in tooltip.
* Useful for long names or paths in constrained spaces.
*/
export { default as TruncatedText } from './TruncatedText.svelte';
/**
* **KeyboardShortcutInfo** - Keyboard shortcut hint display
*
* Displays keyboard shortcut hints (e.g., "⌘ + Enter").
* Supports special keys like shift, cmd, and custom text.
*/
export { default as KeyboardShortcutInfo } from './KeyboardShortcutInfo.svelte';
/**
* **ScrollCarousel** - Feature/carousel with center-aligned overflow controls
*
* Horizontal scrollable container with arrows that center the focused item.
*/
export { default as ScrollCarousel } from './ScrollCarousel.svelte';
/**
* **CodeBlockActions** - Actions bar for code blocks (copy, preview)
*
* Displays copy-to-clipboard and preview buttons for code blocks.
* Preview button is shown only for HTML code blocks.
*/
export { default as CodeBlockActions } from './CodeBlockActions.svelte';
/**
* **Logo** - Application brand mark
*
* Inline SVG of the application logo. Accepts styling via the standard
* `class` and `style` props and inherits color via `currentColor`.
*/
export { default as Logo } from './Logo.svelte';
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