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: 1,343 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 | <script lang="ts">
import { Trash2 } from '@lucide/svelte';
import {
DialogChatError,
DialogConfirmation,
DialogEmptyFileAlert,
DialogFileUploadError
} from '$lib/components/app';
import { ErrorDialogType } from '$lib/enums';
let {
activeErrorDialog,
emptyFileNames,
fileUpload,
handleDeleteConfirm,
handleErrorDialogOpenChange,
showDeleteDialog,
showEmptyFileDialog
} = $props();
</script>
<DialogFileUploadError
bind:open={fileUpload.showFileErrorDialog}
fileErrorData={fileUpload.fileErrorData}
/>
<DialogConfirmation
bind:open={showDeleteDialog}
cancelText="Cancel"
confirmText="Delete"
description="Are you sure you want to delete this conversation? This action cannot be undone and will permanently remove all messages in this conversation."
icon={Trash2}
onCancel={() => (showDeleteDialog = false)}
onConfirm={handleDeleteConfirm}
title="Delete Conversation"
variant="destructive"
/>
<DialogEmptyFileAlert
bind:open={showEmptyFileDialog}
emptyFiles={emptyFileNames}
onOpenChange={(open) => {
if (!open) {
emptyFileNames = [];
}
}}
/>
<DialogChatError
contextInfo={activeErrorDialog?.contextInfo}
message={activeErrorDialog?.message ?? ''}
onOpenChange={handleErrorDialogOpenChange}
open={Boolean(activeErrorDialog)}
type={activeErrorDialog?.type ?? ErrorDialogType.SERVER}
/>
|