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
Download tools/ui/src/lib/components/app/dialogs/DialogChatError.svelte from VladHong/llama-cpp-K2-FAST2: direct link, hf CLI and curl.
- Browser
- Download file 2.3 kB
-
https://huggingface.co/VladHong/llama-cpp-K2-FAST2/resolve/main/tools/ui/src/lib/components/app/dialogs/DialogChatError.svelte
- Command line
-
hf download hf://VladHong/llama-cpp-K2-FAST2/tools/ui/src/lib/components/app/dialogs/DialogChatError.svelte
-
curl -L -o DialogChatError.svelte https://huggingface.co/VladHong/llama-cpp-K2-FAST2/resolve/main/tools/ui/src/lib/components/app/dialogs/DialogChatError.svelte
2.3 kB
| <script lang="ts"> | |
| import { AlertTriangle, TimerOff } from '@lucide/svelte'; | |
| import * as AlertDialog from '$lib/components/ui/alert-dialog'; | |
| import { ErrorDialogType } from '$lib/enums'; | |
| interface Props { | |
| open: boolean; | |
| type: ErrorDialogType; | |
| message: string; | |
| contextInfo?: { n_prompt_tokens: number; n_ctx: number }; | |
| onOpenChange?: (open: boolean) => void; | |
| } | |
| let { contextInfo, message, onOpenChange, open = $bindable(), type }: Props = $props(); | |
| const isTimeout = $derived(type === ErrorDialogType.TIMEOUT); | |
| const title = $derived(isTimeout ? 'TCP Timeout' : 'Server Error'); | |
| const description = $derived( | |
| isTimeout | |
| ? 'The request did not receive a response from the server before timing out.' | |
| : 'The server responded with an error message. Review the details below.' | |
| ); | |
| const iconClass = $derived(isTimeout ? 'text-destructive' : 'text-amber-500'); | |
| const badgeClass = $derived( | |
| isTimeout | |
| ? 'border-destructive/40 bg-destructive/10 text-destructive' | |
| : 'border-amber-500/40 bg-amber-500/10 text-amber-600 dark:text-amber-400' | |
| ); | |
| 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"> | |
| {#if isTimeout} | |
| <TimerOff class={`h-5 w-5 ${iconClass}`} /> | |
| {:else} | |
| <AlertTriangle class={`h-5 w-5 ${iconClass}`} /> | |
| {/if} | |
| {title} | |
| </AlertDialog.Title> | |
| <AlertDialog.Description> | |
| {description} | |
| </AlertDialog.Description> | |
| </AlertDialog.Header> | |
| <div class={`rounded-lg border px-4 py-3 text-sm ${badgeClass}`}> | |
| <p class="font-medium">{message}</p> | |
| {#if contextInfo} | |
| <div class="mt-2 space-y-1 text-xs opacity-80"> | |
| <p> | |
| <span class="font-medium">Prompt tokens:</span> | |
| {contextInfo.n_prompt_tokens.toLocaleString()} | |
| </p> | |
| {#if contextInfo.n_ctx} | |
| <p> | |
| <span class="font-medium">Context size:</span> | |
| {contextInfo.n_ctx.toLocaleString()} | |
| </p> | |
| {/if} | |
| </div> | |
| {/if} | |
| </div> | |
| <AlertDialog.Footer> | |
| <AlertDialog.Action onclick={() => handleOpenChange(false)}>Close</AlertDialog.Action> | |
| </AlertDialog.Footer> | |
| </AlertDialog.Content> | |
| </AlertDialog.Root> | |