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/services/props.service.ts from VladHong/llama-cpp-K2-FAST2: direct link, hf CLI and curl.
- Browser
- Download file 1.82 kB
-
https://huggingface.co/VladHong/llama-cpp-K2-FAST2/resolve/main/tools/ui/src/lib/services/props.service.ts
- Command line
-
hf download hf://VladHong/llama-cpp-K2-FAST2/tools/ui/src/lib/services/props.service.ts
-
curl -L -o props.service.ts https://huggingface.co/VladHong/llama-cpp-K2-FAST2/resolve/main/tools/ui/src/lib/services/props.service.ts
1.82 kB
| /** | |
| * PropsService - Fetches server properties from /props | |
| * | |
| * Returns global server settings and capabilities, including per-model | |
| * modalities in MODEL mode. No reactive state; consumed by serverStore and | |
| * the model props manager. | |
| */ | |
| import { apiFetchWithParams } from '$lib/utils'; | |
| export class PropsService { | |
| /** | |
| * Fetches global server properties from the `/props` endpoint. | |
| * In MODEL mode, returns modalities for the single loaded model. | |
| * In ROUTER mode, returns server-wide settings without model-specific modalities. | |
| * | |
| * @param autoload - If false, prevents automatic model loading (default: false) | |
| * @returns Server properties including default generation settings and capabilities | |
| * @throws {Error} If the request fails or returns invalid data | |
| */ | |
| static async fetch(autoload = false): Promise<ApiLlamaCppServerProps> { | |
| const params: Record<string, string> = {}; | |
| if (!autoload) { | |
| params.autoload = 'false'; | |
| } | |
| return apiFetchWithParams<ApiLlamaCppServerProps>('./props', params, { authOnly: true }); | |
| } | |
| /** | |
| * Fetches server properties for a specific model (ROUTER mode only). | |
| * Required in ROUTER mode because global `/props` does not include per-model modalities. | |
| * | |
| * @param modelId - The model ID to fetch properties for | |
| * @param autoload - If false, prevents automatic model loading (default: false) | |
| * @returns Server properties specific to the requested model | |
| * @throws {Error} If the request fails, model not found, or model not loaded | |
| */ | |
| static async fetchForModel(modelId: string, autoload = false): Promise<ApiLlamaCppServerProps> { | |
| const params: Record<string, string> = { model: modelId }; | |
| if (!autoload) { | |
| params.autoload = 'false'; | |
| } | |
| return apiFetchWithParams<ApiLlamaCppServerProps>('./props', params, { authOnly: true }); | |
| } | |
| } | |