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: 2,170 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 85 86 87 88 89 90 | <script lang="ts">
import { X } from '@lucide/svelte';
import { ChatAttachmentsPreview } from '$lib/components/app';
import * as DialogUI from '$lib/components/ui/dialog';
import { KeyboardKey } from '$lib/enums';
import { Dialog } from 'bits-ui';
interface Props {
open: boolean;
uploadedFiles?: ChatUploadedFile[];
attachments?: DatabaseMessageExtra[];
activeModelId?: string;
previewFocusIndex?: number;
}
let {
activeModelId,
attachments = [],
open = $bindable(false),
previewFocusIndex = 0,
uploadedFiles = []
}: Props = $props();
function handleClose() {
open = false;
}
$effect(() => {
if (!open) return;
function handleKeyDown(event: KeyboardEvent) {
const target = event.target as HTMLElement;
if (target.tagName === 'INPUT' || target.tagName === 'TEXTAREA') return;
switch (event.key) {
case KeyboardKey.ARROW_LEFT:
event.preventDefault();
event.stopPropagation();
document.dispatchEvent(new CustomEvent('chat-attachments-nav', { detail: -1 }));
break;
case KeyboardKey.ARROW_RIGHT:
event.preventDefault();
event.stopPropagation();
document.dispatchEvent(new CustomEvent('chat-attachments-nav', { detail: 1 }));
break;
case KeyboardKey.SPACE:
event.preventDefault();
event.stopPropagation();
document.dispatchEvent(new CustomEvent('chat-attachments-nav', { detail: 1 }));
break;
}
}
document.addEventListener('keydown', handleKeyDown);
return () => document.removeEventListener('keydown', handleKeyDown);
});
</script>
<Dialog.Root bind:open>
<Dialog.Portal>
<DialogUI.Overlay class="bg-black/85" style="z-index: 1000" />
<Dialog.Content class="fixed inset-0 z-[1000] flex flex-col bg-transparent outline-none">
<Dialog.Close
aria-label="Close"
class="absolute top-4 right-4 z-10 cursor-pointer text-white hover:text-gray-400"
onclick={handleClose}
>
<X class="size-4" />
</Dialog.Close>
<ChatAttachmentsPreview
{activeModelId}
{attachments}
class="min-h-0 flex-1"
{previewFocusIndex}
{uploadedFiles}
/>
</Dialog.Content>
</Dialog.Portal>
</Dialog.Root>
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