Instructions to use asksolz/munin-lfm25-1b2-4bit-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use asksolz/munin-lfm25-1b2-4bit-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir munin-lfm25-1b2-4bit-mlx asksolz/munin-lfm25-1b2-4bit-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
munin-lfm25-1b2-4bit-mlx
On-device summarization tier for Munin.
This is an unmodified mirror of LiquidAI/LFM2.5-1.2B-Instruct-MLX-4bit
at revision 7ccafdb04c36936f4f1c4685198c6c9a40275932 — Liquid AI's own MLX 4-bit build of
LFM2.5-1.2B-Instruct. No re-quantization or conversion was performed here.
The only added file is manifest.json, which Munin uses to verify the
bundle's SHA-256 hashes after download.
Mirrored so the app has a manifest to verify against and a stable revision to pin. Prefer the upstream repo for any other use.
License
Governed by the LFM Open License v1.0, redistributed here as LICENSE.
It is Apache-2.0-based but is not an OSI-approved open-source licence:
commercial use is free only while the using entity is under $10M USD annual
revenue. At or above that threshold a separate licence from Liquid AI is
required. Review it before depending on this model commercially.
- Downloads last month
- -
4-bit
Model tree for asksolz/munin-lfm25-1b2-4bit-mlx
Base model
LiquidAI/LFM2.5-1.2B-Base