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/tests/unit/command-token.test.ts from VladHong/llama-cpp-K2-FAST2: direct link, hf CLI and curl.
- Browser
- Download file 1.6 kB
-
https://huggingface.co/VladHong/llama-cpp-K2-FAST2/resolve/main/tools/ui/tests/unit/command-token.test.ts
- Command line
-
hf download hf://VladHong/llama-cpp-K2-FAST2/tools/ui/tests/unit/command-token.test.ts
-
curl -L -o command-token.test.ts https://huggingface.co/VladHong/llama-cpp-K2-FAST2/resolve/main/tools/ui/tests/unit/command-token.test.ts
1.6 kB
| import { findCommandToken, takeCommandDismissSnapshot } from '$lib/utils'; | |
| import { describe, expect, it } from 'vitest'; | |
| describe('findCommandToken', () => { | |
| it('returns null when the value does not start with a slash', () => { | |
| expect(findCommandToken('hello /prompt')).toBeNull(); | |
| expect(findCommandToken('')).toBeNull(); | |
| expect(findCommandToken('prompt')).toBeNull(); | |
| }); | |
| it('parses a bare slash', () => { | |
| expect(findCommandToken('/')).toEqual({ args: '', end: 1, name: '' }); | |
| }); | |
| it('parses a command name with no args', () => { | |
| expect(findCommandToken('/prompt')).toEqual({ args: '', end: 7, name: 'prompt' }); | |
| }); | |
| it('parses a command name followed by a space', () => { | |
| expect(findCommandToken('/prompt ')).toEqual({ args: '', end: 8, name: 'prompt' }); | |
| }); | |
| it('parses args after the command name', () => { | |
| expect(findCommandToken('/prompt rev')).toEqual({ args: 'rev', end: 11, name: 'prompt' }); | |
| }); | |
| it('parses multi-word args', () => { | |
| expect(findCommandToken('/prompt review code ')).toEqual({ | |
| args: ' review code ', | |
| end: 22, | |
| name: 'prompt' | |
| }); | |
| }); | |
| it('treats the whole run as the name when there is no space', () => { | |
| expect(findCommandToken('/promptx')).toEqual({ args: '', end: 8, name: 'promptx' }); | |
| }); | |
| }); | |
| describe('takeCommandDismissSnapshot', () => { | |
| it('returns null when there is no command token', () => { | |
| expect(takeCommandDismissSnapshot('hello')).toBeNull(); | |
| }); | |
| it('captures the name and args', () => { | |
| expect(takeCommandDismissSnapshot('/prompt rev')).toEqual({ | |
| args: 'rev', | |
| name: 'prompt' | |
| }); | |
| }); | |
| }); | |