Text Generation
MLX
English
lora
kintsugi
social-work
mutual-aid
persona
liberation-labs
multiverse-school
Instructions to use LiberationLabs/multiverse-mutual-aid-agent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use LiberationLabs/multiverse-mutual-aid-agent with MLX:
# Make sure mlx-lm is installed # pip install --upgrade mlx-lm # if on a CUDA device, also pip install mlx[cuda] # Generate text with mlx-lm from mlx_lm import load, generate model, tokenizer = load("LiberationLabs/multiverse-mutual-aid-agent") prompt = "Once upon a time in" text = generate(model, tokenizer, prompt=prompt, verbose=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- MLX LM
How to use LiberationLabs/multiverse-mutual-aid-agent with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "LiberationLabs/multiverse-mutual-aid-agent" --prompt "Once upon a time"
- Atomic Chat
| from sqlalchemy.ext.asyncio import AsyncSession, create_async_engine | |
| from sqlalchemy.orm import sessionmaker | |
| from .config import settings | |
| engine = create_async_engine(settings.database_url, echo=False) | |
| async_session = sessionmaker(engine, class_=AsyncSession, expire_on_commit=False) | |
| async def get_db(): | |
| async with async_session() as session: | |
| yield session | |