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
File size: 2,616 Bytes
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import { AlertTriangle, ArrowRight } from '@lucide/svelte';
import { goto } from '$app/navigation';
import { page } from '$app/state';
import * as AlertDialog from '$lib/components/ui/alert-dialog';
import { ICON_CLASS_DEFAULT, URL_PARAMS } from '$lib/constants';
interface Props {
open: boolean;
modelName: string;
availableModels?: string[];
onOpenChange?: (open: boolean) => void;
}
let { availableModels = [], modelName, onOpenChange, open = $bindable() }: Props = $props();
function handleOpenChange(newOpen: boolean) {
open = newOpen;
onOpenChange?.(newOpen);
}
function handleSelectModel(model: string) {
// Build URL with selected model, preserving other params
const url = new URL(page.url);
url.searchParams.set(URL_PARAMS.MODEL, model);
handleOpenChange(false);
goto(url.toString());
}
</script>
<AlertDialog.Root onOpenChange={handleOpenChange} {open}>
<AlertDialog.Content class="max-w-lg">
<AlertDialog.Header>
<AlertDialog.Title class="flex items-center gap-2">
<AlertTriangle class="h-5 w-5 text-amber-500" />
Model Not Available
</AlertDialog.Title>
<AlertDialog.Description>
The requested model could not be found. Select an available model to continue.
</AlertDialog.Description>
</AlertDialog.Header>
<div class="space-y-3">
<div class="rounded-lg border border-amber-500/40 bg-amber-500/10 px-4 py-3 text-sm">
<p class="font-medium text-amber-600 dark:text-amber-400">
Requested: <code class="rounded bg-amber-500/20 px-1.5 py-0.5">{modelName}</code>
</p>
</div>
{#if availableModels.length > 0}
<div class="text-sm">
<p class="mb-2 font-medium text-muted-foreground">Select an available model:</p>
<div class="max-h-48 space-y-1 overflow-y-auto rounded-md border p-1">
{#each availableModels as model (model)}
<button
class="group flex w-full items-center justify-between gap-2 rounded-sm px-3 py-2 text-left text-sm transition-colors hover:bg-accent hover:text-accent-foreground"
onclick={() => handleSelectModel(model)}
type="button"
>
<span class="min-w-0 truncate font-mono text-xs">{model}</span>
<ArrowRight
class="{ICON_CLASS_DEFAULT} shrink-0 text-muted-foreground opacity-0 transition-opacity group-hover:opacity-100"
/>
</button>
{/each}
</div>
</div>
{/if}
</div>
<AlertDialog.Footer>
<AlertDialog.Action onclick={() => handleOpenChange(false)}>Cancel</AlertDialog.Action>
</AlertDialog.Footer>
</AlertDialog.Content>
</AlertDialog.Root>
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