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xocialize/LFM2.5-8B-A1B-MLX-4bit
LFM2.5-8B-A1B-MLX-4bit is a text generation model from xocialize. 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.
A verbatim mirror of LiquidAI/LFM2.5-8B-A1B-MLX-4bit. 4-bit quantized. The default variant our packages register.
Downloads · 30 days
28
21% of all-time downloads
All-time downloads
135
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8.5B
4.9 GB on disk
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.safetensors4.8 GB · 100%
How the weights are stored.
U328.5B · 100%
From the Hugging Face model README
A verbatim mirror of LiquidAI/LFM2.5-8B-A1B-MLX-4bit. 4-bit quantized. The default variant our packages register.
We ship Swift/MLX packages that name a weight repo in code. When an upstream repo moves or disappears, every already-published version of those packages breaks for anyone installing fresh — there is no redirect and no way to patch software already in someone's hands.
That is not hypothetical: an unrelated model family we had ported was reorganized onto a new HuggingFace org without redirects, and six of our published packages broke the same day. This mirror exists so that the same failure cannot take LFM2.5 with it.
It exists for durability, not improvement. Nothing here is changed, tuned, or repackaged, and LiquidAI's original is the better place to get these weights if you want the newest revision. All model IP, training, and quantization are LiquidAI's work.
Byte-for-byte identical to upstream. Every file was verified by SHA-256 against the
corresponding LiquidAI/LFM2.5-8B-A1B-MLX-4bit file immediately before upload, and the published copies were
re-verified afterward. The hashes are listed below so the claim is checkable rather than
merely asserted:
25e731c697c4fe4c52ee654cedf7106a827748d2 LICENSE
73c105ac336a741870cb6a8c87a4d39191667a6a README.md
8bca4a545e9ec8dc0c5d4689a78886c0741c47e4 chat_template.jinja
7ed428c38e035bbca6b55d463b294e0e25d4e523 config.json
d14c980b6f1908b204b4b448734a0a508624960a generation_config.json
3cc15631acc1894b3584ac11fb4122beee50b604e1a0be575da686cee87aa3a4 model.safetensors
cd4bb6aea6205d430b21b18b247389b5afbb3895 model.safetensors.index.json
695be7802a0e4b8a81048f0ff5ebb7fc811a0ba5a6be63dbb24deb5a81096f41 tokenizer.json
df190b8c97179c7b2fde48758a353b1bcfb18c83 tokenizer_config.json
Small non-LFS files (configs, tokenizer metadata) carry no upstream hash to compare against and were verified by exact byte size.
These weights are governed by the LFM Open License v1.0, included in full as
LICENSE. Mirroring changes nothing about it.
It is Apache-2.0-shaped, with one condition that is easy to miss and important if you are building a product rather than experimenting:
Section 5 — Commercial Use limitation. Commercial use by a legal entity with annual revenue at or above $10,000,000 USD is not licensed under this agreement. Below that threshold, commercial use is permitted. Qualified non-profits are exempt for non-commercial and research purposes.
Redistribution is expressly permitted by §4, on four conditions: supply a copy of the licence, mark any files you modified, retain attribution notices, and carry forward any NOTICE file. We have modified nothing.
This summary is a pointer, not a substitute for reading the licence, and where the two differ the licence governs.
LFM2.5-8B-A1B is designed, trained, quantized, and released by LiquidAI. This mirror adds nothing but an address we can promise not to move.