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
llama-cpp-K2-FAST2 / tools /ui /src /lib /components /app /chat /ChatScreen /ChatScreenActionScrollDown.svelte
Download tools/ui/src/lib/components/app/chat/ChatScreen/ChatScreenActionScrollDown.svelte from VladHong/llama-cpp-K2-FAST2: direct link, hf CLI and curl.
- Browser
- Download file 615 Bytes
-
https://huggingface.co/VladHong/llama-cpp-K2-FAST2/resolve/main/tools/ui/src/lib/components/app/chat/ChatScreen/ChatScreenActionScrollDown.svelte
- Command line
-
hf download hf://VladHong/llama-cpp-K2-FAST2/tools/ui/src/lib/components/app/chat/ChatScreen/ChatScreenActionScrollDown.svelte
-
curl -L -o ChatScreenActionScrollDown.svelte https://huggingface.co/VladHong/llama-cpp-K2-FAST2/resolve/main/tools/ui/src/lib/components/app/chat/ChatScreen/ChatScreenActionScrollDown.svelte
615 Bytes
| <script lang="ts"> | |
| import { ArrowDown } from '@lucide/svelte'; | |
| import ActionIcon from '$lib/components/app/actions/ActionIcon.svelte'; | |
| import { ICON_CLASS_DEFAULT } from '$lib/constants'; | |
| let { onclick }: { onclick: (e?: MouseEvent) => void } = $props(); | |
| </script> | |
| <div class="pointer-events-auto flex justify-center relative h-0"> | |
| <ActionIcon | |
| ariaLabel="Scroll to bottom" | |
| class="h-9 w-9 rounded-full bg-muted/60 border border-border/20 shadow-sm text-accent-foreground absolute bottom-4" | |
| icon={ArrowDown} | |
| iconSize={ICON_CLASS_DEFAULT} | |
| {onclick} | |
| size="lg" | |
| tooltip="Scroll to bottom" | |
| /> | |
| </div> | |