Instructions to use YauhenBichel/python-vibe-0.5b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use YauhenBichel/python-vibe-0.5b 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("YauhenBichel/python-vibe-0.5b") 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 YauhenBichel/python-vibe-0.5b with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "YauhenBichel/python-vibe-0.5b" --prompt "Once upon a time"
- Atomic Chat
What these adapters were measured against
#1
by YauhenBichel - opened
These adapters are the 0.5B style prior for python-vibe. They are not the daily model.
Same project, other weights:
- llama3.1:8b β daily default. Same-night jobs 9/9.
- qwen2.5-coder:7b β comparison. 7/9 that night. Do not switch.
- Qwen2.5-Coder-32B-Instruct β hosted. 1/10 then 9/10 after markdown fences were stripped. The local 8B does not fence, so that fix does not move it.
This repo: 0/4 vibe, 0/54 greedy LoRA.
The GitHub repo is now py-harness (formerly python-vibe).
https://github.com/YauhenBichel/py-harness
https://yauhenbichel.github.io/py-harness/
Hub adapter id is unchanged: YauhenBichel/python-vibe-0.5b