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/hooks/use-scroll-active-row.svelte.ts from VladHong/llama-cpp-K2-FAST2: direct link, hf CLI and curl.
- Browser
- Download file 1.5 kB
-
https://huggingface.co/VladHong/llama-cpp-K2-FAST2/resolve/main/tools/ui/src/lib/hooks/use-scroll-active-row.svelte.ts
- Command line
-
hf download hf://VladHong/llama-cpp-K2-FAST2/tools/ui/src/lib/hooks/use-scroll-active-row.svelte.ts
-
curl -L -o use-scroll-active-row.svelte.ts https://huggingface.co/VladHong/llama-cpp-K2-FAST2/resolve/main/tools/ui/src/lib/hooks/use-scroll-active-row.svelte.ts
1.5 kB
| import { untrack } from 'svelte'; | |
| /** | |
| * Scrolls the highlighted row of a picker list into view when the scroll | |
| * trigger is bumped, without scrolling on mouse hover or result | |
| * replacement. | |
| */ | |
| export interface UseScrollActiveRowOptions { | |
| /** Counter bumped by keyboard nav; `undefined` disables the effect. */ | |
| getTrigger: () => number | undefined; | |
| getContainer: () => HTMLDivElement | null; | |
| getIndex: () => number; | |
| getCount: () => number; | |
| /** Full data attribute marking the row, e.g. `data-picker-index`. */ | |
| dataAttr: string; | |
| } | |
| export function useScrollActiveRow(opts: UseScrollActiveRowOptions) { | |
| let lastTrigger: number | null = null; | |
| $effect(() => { | |
| const trigger = opts.getTrigger(); | |
| if (trigger === undefined) return; | |
| // Skip the initial run on mount: the list opens with the first row | |
| // already in view, and scrolling here fires before the popover is | |
| // positioned, which would scroll the whole page to the top. | |
| if (lastTrigger === null) { | |
| lastTrigger = trigger; | |
| return; | |
| } | |
| if (trigger === lastTrigger) return; | |
| lastTrigger = trigger; | |
| untrack(() => { | |
| const container = opts.getContainer(); | |
| const index = opts.getIndex(); | |
| if (!container || index < 0 || index >= opts.getCount()) return; | |
| const row = container.querySelector(`[${opts.dataAttr}="${index}"]`) as HTMLElement | null; | |
| row?.scrollIntoView({ block: 'nearest', inline: 'nearest' }); | |
| }); | |
| }); | |
| } | |
| export type UseScrollActiveRowReturn = ReturnType<typeof useScrollActiveRow>; | |