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stamsam/LFM2.5-8B-A1B-oQ4
LFM2.5-8B-A1B-oQ4 is a text generation model from stamsam. Use it when you need the model to write or continue text. It is set up for mlx. The card lists the license as other.
This model is an MLX oQ4 quantized version of LiquidAI/LFM2.5-8B-A1B, quantized using oQ (oMLX v0.3.12) mixed-precision quantization.
Downloads · 30 days
23
5% of all-time downloads
All-time downloads
474
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Parameters
8.5B
5 GB on disk
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1
Public
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.safetensors5 GB · 100%
How the weights are stored.
U328.5B · 100%
From the Hugging Face model README
This model is an MLX oQ4 quantized version of LiquidAI/LFM2.5-8B-A1B, quantized using oQ (oMLX v0.3.12) mixed-precision quantization.
LFM2.5 is a new family of hybrid models designed for on-device deployment by Liquid AI. It builds on the LFM2 architecture with extended pre-training and reinforcement learning.
| Property | Value |
|---|---|
| Total parameters | 8.3B |
| Active parameters | 1.5B |
| Number of layers | 24 (18 double-gated LIV conv + 6 GQA) |
| Training budget | 38 trillion tokens |
| Context length | 131,072 |
| Vocabulary size | 128,000 |
| Languages | English, Arabic, Chinese, French, German, Japanese, Korean, Portuguese, Spanish |
temperature: 0.2top_p: 80repetition_penalty: 1.05LFM2.5 uses a ChatML-like format:
<|startoftext|><|im_start|>system
You are a helpful assistant trained by Liquid AI.<|im_end|>
<|im_start|>user
What is C. elegans?<|im_end|>
<|im_start|>assistant
@article{liquidAI20268BA1B,
author = {Liquid AI},
title = {LFM2.5-8B-A1B: Personal Assistant On Your Laptop},
journal = {Liquid AI Blog},
year = {2026},
note = {www.liquid.ai/blog/lfm2-5-8b-a1b},
}
@article{liquidai2025lfm2,
title = {LFM2 Technical Report},
author = {Liquid AI},
journal = {arXiv preprint arXiv:2511.23404},
year = {2025}
}