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: 1,840 Bytes
c59fd93 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 | <script lang="ts">
import * as AlertDialog from '$lib/components/ui/alert-dialog';
import { KeyboardKey } from '$lib/enums';
import type { Component, Snippet } from 'svelte';
interface Props {
open: boolean;
title: string;
description: string;
confirmText?: string;
cancelText?: string;
variant?: 'default' | 'destructive';
icon?: Component;
onConfirm: () => void;
onCancel: () => void;
onKeydown?: (event: KeyboardEvent) => void;
children?: Snippet;
}
let {
cancelText = 'Cancel',
children,
confirmText = 'Confirm',
description,
icon,
onCancel,
onConfirm,
onKeydown,
open = $bindable(),
title,
variant = 'default'
}: Props = $props();
function handleKeydown(event: KeyboardEvent) {
if (event.key === KeyboardKey.ENTER) {
event.preventDefault();
onConfirm();
}
onKeydown?.(event);
}
function handleOpenChange(newOpen: boolean) {
if (!newOpen) {
onCancel();
}
}
</script>
<AlertDialog.Root onOpenChange={handleOpenChange} {open}>
<AlertDialog.Content onkeydown={handleKeydown}>
<AlertDialog.Header>
<AlertDialog.Title class="flex items-center gap-2">
{#if icon}
{@const IconComponent = icon}
<IconComponent class="h-5 w-5 {variant === 'destructive' ? 'text-destructive' : ''}" />
{/if}
{title}
</AlertDialog.Title>
<AlertDialog.Description>
{description}
</AlertDialog.Description>
</AlertDialog.Header>
{#if children}
{@render children()}
{/if}
<AlertDialog.Footer>
<AlertDialog.Cancel onclick={onCancel}>{cancelText}</AlertDialog.Cancel>
<AlertDialog.Action
class={variant === 'destructive' ? 'bg-destructive text-white hover:bg-destructive/80' : ''}
onclick={onConfirm}
>
{confirmText}
</AlertDialog.Action>
</AlertDialog.Footer>
</AlertDialog.Content>
</AlertDialog.Root>
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