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/misc/KeyboardShortcutInfo.svelte from VladHong/llama-cpp-K2-FAST2: direct link, hf CLI and curl.
- Browser
- Download file 957 Bytes
-
https://huggingface.co/VladHong/llama-cpp-K2-FAST2/resolve/main/tools/ui/src/lib/components/app/misc/KeyboardShortcutInfo.svelte
- Command line
-
hf download hf://VladHong/llama-cpp-K2-FAST2/tools/ui/src/lib/components/app/misc/KeyboardShortcutInfo.svelte
-
curl -L -o KeyboardShortcutInfo.svelte https://huggingface.co/VladHong/llama-cpp-K2-FAST2/resolve/main/tools/ui/src/lib/components/app/misc/KeyboardShortcutInfo.svelte
957 Bytes
| <script lang="ts"> | |
| import { ArrowBigUp } from '@lucide/svelte'; | |
| interface Props { | |
| keys: string[]; | |
| variant?: 'default' | 'destructive'; | |
| class?: string; | |
| } | |
| let { class: className = '', keys, variant = 'default' }: Props = $props(); | |
| let baseClasses = | |
| 'px-1 pointer-events-none inline-flex select-none items-center gap-0.5 font-sans text-md font-medium opacity-0 transition-opacity -my-1'; | |
| let variantClasses = $derived( | |
| variant === 'destructive' ? 'text-destructive' : 'text-muted-foreground' | |
| ); | |
| </script> | |
| <kbd class="{baseClasses} {variantClasses} {className}"> | |
| {#each keys as key, index (index)} | |
| {#if key === 'shift'} | |
| <ArrowBigUp class="h-1 w-1 {variant === 'destructive' ? 'text-destructive' : ''} -mr-1" /> | |
| {:else if key === 'cmd'} | |
| <span class={variant === 'destructive' ? 'text-destructive' : ''}>⌘</span> | |
| {:else} | |
| {key.toUpperCase()} | |
| {/if} | |
| {#if index < keys.length - 1} | |
| <span> </span> | |
| {/if} | |
| {/each} | |
| </kbd> | |