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: 1,459 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 | /**
*
* 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';
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