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
llama-cpp-K2-FAST2 / tools /ui /src /lib /components /app /settings /SettingsChatDesktopSidebar.svelte
Download tools/ui/src/lib/components/app/settings/SettingsChatDesktopSidebar.svelte from VladHong/llama-cpp-K2-FAST2: direct link, hf CLI and curl.
- Browser
- Download file 985 Bytes
-
https://huggingface.co/VladHong/llama-cpp-K2-FAST2/resolve/main/tools/ui/src/lib/components/app/settings/SettingsChatDesktopSidebar.svelte
- Command line
-
hf download hf://VladHong/llama-cpp-K2-FAST2/tools/ui/src/lib/components/app/settings/SettingsChatDesktopSidebar.svelte
-
curl -L -o SettingsChatDesktopSidebar.svelte https://huggingface.co/VladHong/llama-cpp-K2-FAST2/resolve/main/tools/ui/src/lib/components/app/settings/SettingsChatDesktopSidebar.svelte
985 Bytes
| <script lang="ts"> | |
| import { ICON_CLASS_DEFAULT } from '$lib/constants'; | |
| import type { SettingsSection, SettingsSectionTitle } from '$lib/types'; | |
| interface Props { | |
| sections: SettingsSection[]; | |
| isActive: (section: SettingsSection) => boolean; | |
| onSectionChange?: (section: SettingsSectionTitle) => void; | |
| } | |
| let { isActive, onSectionChange, sections }: Props = $props(); | |
| </script> | |
| <div class="sticky top-12 hidden w-64 flex-col self-start bg-background md:flex gap-6"> | |
| <nav class="space-y-1"> | |
| {#each sections as section (section.title)} | |
| <button | |
| class="flex w-full cursor-pointer items-center gap-3 rounded-lg px-3 py-2 text-left text-sm transition-colors hover:bg-accent {isActive( | |
| section | |
| ) | |
| ? 'bg-accent text-accent-foreground' | |
| : 'text-muted-foreground'}" | |
| onclick={() => onSectionChange?.(section.title)} | |
| > | |
| <section.icon class={ICON_CLASS_DEFAULT} /> | |
| <span class="ml-2">{section.title}</span> | |
| </button> | |
| {/each} | |
| </nav> | |
| </div> | |