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
File size: 1,599 Bytes
c59fd93 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 | 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'
});
});
});
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