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/pwa/PwaRefreshAlert.svelte from VladHong/llama-cpp-K2-FAST2: direct link, hf CLI and curl.
- Browser
- Download file 868 Bytes
-
https://huggingface.co/VladHong/llama-cpp-K2-FAST2/resolve/main/tools/ui/src/lib/components/pwa/PwaRefreshAlert.svelte
- Command line
-
hf download hf://VladHong/llama-cpp-K2-FAST2/tools/ui/src/lib/components/pwa/PwaRefreshAlert.svelte
-
curl -L -o PwaRefreshAlert.svelte https://huggingface.co/VladHong/llama-cpp-K2-FAST2/resolve/main/tools/ui/src/lib/components/pwa/PwaRefreshAlert.svelte
868 Bytes
| <script lang="ts"> | |
| import { Button } from '$lib/components/ui/button'; | |
| import * as Card from '$lib/components/ui/card'; | |
| let { forceReload, needRefresh: needRefreshProp, updateServiceWorker } = $props(); | |
| let needRefresh = $derived(needRefreshProp ?? false); | |
| </script> | |
| {#if needRefresh} | |
| <Card.Root class="overflow-hidden gap-1 py-5"> | |
| <Card.Header class="px-5"> | |
| <Card.Title class="text-sm font-medium">Update available</Card.Title> | |
| </Card.Header> | |
| <Card.Content class="gap-6 grid px-5"> | |
| <p class="text-xs text-muted-foreground">A new version is available. Reload to update.</p> | |
| <Button | |
| class="justify-self-end-safe" | |
| onclick={() => { | |
| updateServiceWorker(); | |
| if (forceReload) { | |
| window.location.reload(); | |
| } | |
| needRefresh = false; | |
| }} | |
| size="sm" | |
| > | |
| Reload | |
| </Button> | |
| </Card.Content> | |
| </Card.Root> | |
| {/if} | |