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 /ChatScreenServerError.svelte
Download tools/ui/src/lib/components/app/chat/ChatScreen/ChatScreenServerError.svelte from VladHong/llama-cpp-K2-FAST2: direct link, hf CLI and curl.
- Browser
- Download file 1.37 kB
-
https://huggingface.co/VladHong/llama-cpp-K2-FAST2/resolve/main/tools/ui/src/lib/components/app/chat/ChatScreen/ChatScreenServerError.svelte
- Command line
-
hf download hf://VladHong/llama-cpp-K2-FAST2/tools/ui/src/lib/components/app/chat/ChatScreen/ChatScreenServerError.svelte
-
curl -L -o ChatScreenServerError.svelte https://huggingface.co/VladHong/llama-cpp-K2-FAST2/resolve/main/tools/ui/src/lib/components/app/chat/ChatScreen/ChatScreenServerError.svelte
1.37 kB
| <script lang="ts"> | |
| import { AlertTriangle, Loader2, RefreshCw } from '@lucide/svelte'; | |
| import * as Alert from '$lib/components/ui/alert'; | |
| import { ICON_CLASS_DEFAULT } from '$lib/constants'; | |
| import { serverStore } from '$lib/stores'; | |
| let hasError = $derived(!!serverStore.error); | |
| let isLoadingModel = $derived(serverStore.status === 503); | |
| </script> | |
| {#if hasError} | |
| <div class="pointer-events-auto mx-auto mb-4 max-w-[48rem] px-1"> | |
| <Alert.Root variant={isLoadingModel ? 'default' : 'destructive'}> | |
| {#if isLoadingModel} | |
| <Loader2 class="{ICON_CLASS_DEFAULT} animate-spin" /> | |
| {:else} | |
| <AlertTriangle class={ICON_CLASS_DEFAULT} /> | |
| {/if} | |
| <Alert.Title class="flex items-center justify-between"> | |
| <span>{isLoadingModel ? 'Loading model' : 'Server unavailable'}</span> | |
| {#if !isLoadingModel} | |
| <button | |
| class="flex items-center gap-1.5 rounded-lg bg-destructive/20 px-2 py-1 text-xs font-medium hover:bg-destructive/30 disabled:opacity-50" | |
| disabled={serverStore.loading} | |
| onclick={() => serverStore.fetch()} | |
| > | |
| <RefreshCw class="h-3 w-3 {serverStore.loading ? 'animate-spin' : ''}" /> | |
| {serverStore.loading ? 'Retrying...' : 'Retry'} | |
| </button> | |
| {/if} | |
| </Alert.Title> | |
| {#if !isLoadingModel} | |
| <Alert.Description>{serverStore.error}</Alert.Description> | |
| {/if} | |
| </Alert.Root> | |
| </div> | |
| {/if} | |