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/server/ServerLoadingSplash.svelte from VladHong/llama-cpp-K2-FAST2: direct link, hf CLI and curl.
- Browser
- Download file 879 Bytes
-
https://huggingface.co/VladHong/llama-cpp-K2-FAST2/resolve/main/tools/ui/src/lib/components/app/server/ServerLoadingSplash.svelte
- Command line
-
hf download hf://VladHong/llama-cpp-K2-FAST2/tools/ui/src/lib/components/app/server/ServerLoadingSplash.svelte
-
curl -L -o ServerLoadingSplash.svelte https://huggingface.co/VladHong/llama-cpp-K2-FAST2/resolve/main/tools/ui/src/lib/components/app/server/ServerLoadingSplash.svelte
879 Bytes
| <script lang="ts"> | |
| import { Server } from '@lucide/svelte'; | |
| import { ServerStatus } from '$lib/components/app'; | |
| import { fade } from 'svelte/transition'; | |
| interface Props { | |
| class?: string; | |
| message?: string; | |
| } | |
| let { class: className = '', message = 'Initializing connection to server...' }: Props = $props(); | |
| </script> | |
| <div class="flex h-full items-center justify-center {className}"> | |
| <div class="text-center"> | |
| <div in:fade={{ duration: 300 }} class="mb-4"> | |
| <div class="mx-auto mb-4 flex h-16 w-16 items-center justify-center rounded-full bg-muted"> | |
| <Server class="h-8 w-8 animate-pulse text-muted-foreground" /> | |
| </div> | |
| <h2 class="mb-2 text-xl font-semibold">Connecting to Server</h2> | |
| <p class="text-sm text-muted-foreground"> | |
| {message} | |
| </p> | |
| </div> | |
| <div class="mt-4"> | |
| <ServerStatus class="justify-center" /> | |
| </div> | |
| </div> | |
| </div> | |