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: 1,728 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 | <script lang="ts">
import { FileX } from '@lucide/svelte';
import * as AlertDialog from '$lib/components/ui/alert-dialog';
interface Props {
open: boolean;
emptyFiles: string[];
onOpenChange?: (open: boolean) => void;
}
let { emptyFiles, onOpenChange, open = $bindable() }: Props = $props();
function handleOpenChange(newOpen: boolean) {
open = newOpen;
onOpenChange?.(newOpen);
}
</script>
<AlertDialog.Root onOpenChange={handleOpenChange} {open}>
<AlertDialog.Content>
<AlertDialog.Header>
<AlertDialog.Title class="flex items-center gap-2">
<FileX class="h-5 w-5 text-destructive" />
Empty Files Detected
</AlertDialog.Title>
<AlertDialog.Description>
The following files are empty and have been removed from your attachments:
</AlertDialog.Description>
</AlertDialog.Header>
<div class="space-y-3 text-sm">
<div class="rounded-lg bg-muted p-3">
<div class="mb-2 font-medium">Empty Files:</div>
<ul class="list-inside list-disc space-y-1 text-muted-foreground">
{#each emptyFiles as fileName (fileName)}
<li class="font-mono text-sm">{fileName}</li>
{/each}
</ul>
</div>
<div>
<div class="mb-2 font-medium">What happened:</div>
<ul class="list-inside list-disc space-y-1 text-muted-foreground">
<li>Empty files cannot be processed or sent to the AI model</li>
<li>These files have been automatically removed from your attachments</li>
<li>You can try uploading files with content instead</li>
</ul>
</div>
</div>
<AlertDialog.Footer>
<AlertDialog.Action onclick={() => handleOpenChange(false)}>Got it</AlertDialog.Action>
</AlertDialog.Footer>
</AlertDialog.Content>
</AlertDialog.Root>
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