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: 1,213 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 | export const BOX_BORDER =
'border border-border/30 focus-within:border-border dark:border-border/20 dark:focus-within:border-border';
export const INPUT_CLASSES = `
bg-muted/60 dark:bg-muted/75
${BOX_BORDER}
shadow-sm
outline-none
text-foreground
`;
export const PANEL_CLASSES = `
bg-background
border border-border/30 dark:border-border/20
shadow-sm backdrop-blur-lg!
rounded-t-lg!
`;
export const CHAT_FORM_POPOVER_MAX_HEIGHT = 'max-h-80';
export const DIALOG_SUBMENU_CONTENT = 'w-60';
/** Selects the focused chat-form input (either renderer) to restore focus after model actions. */
export const CHAT_INPUT_FOCUS_SELECTOR =
'[data-slot="input-area"] textarea, [data-slot="input-area"] [contenteditable="true"]';
/** Default Tailwind size class for inline icon components (lucide, etc.). */
export const ICON_CLASS_DEFAULT = 'h-4 w-4';
/** Small Tailwind size class for inline icons. */
export const ICON_CLASS_SM = 'h-3.5 w-3.5';
/** Extra-small Tailwind size class for inline icons. */
export const ICON_CLASS_XS = 'h-3 w-3';
/** Icon size + spinning animation; used for live-streaming tool indicators. */
export const ICON_CLASS_SPIN = 'h-4 w-4 animate-spin';
|