Compared on repository metadata · updated 2 November 2026

LFM2.5-350M-RLCD vs Qwen-2.5-1B-RLCD

Both are decision models. What separates them is licence, architecture, size and whether anyone has checked the numbers. Only one of those is a matter of opinion.

Side by side

Rows marked with a dot are where the two genuinely differ. Everything here comes from each repository’s own metadata, read on 2 November 2026.

DimensionLFM2.5-350M-RLCDQwen-2.5-1B-RLCD
Published bynotnotsamuelharshatheg
WeightsOpenOpen
Licenceotherapache-2.0
Base modelNot disclosedQwen/Qwen2.5-1.5B-Instruct
ArchitectureDecoderDecoder
Parameters354MNot disclosed
Local formatsOriginal weights onlyMLX
Measured by usNoNo
Attention295 downloads, 25 likes590 likes

What actually separates them

  1. The licence decides this one before any benchmark does

    LFM2.5-350M-RLCD is licensed other, which is not a commercial licence. If this is going into a product, Qwen-2.5-1B-RLCD is the only one of the two you can ship, and no accuracy figure changes that.

  2. Only one of them ships in a runnable local format

    Qwen-2.5-1B-RLCD has builds in MLX, so it runs without a Python stack. LFM2.5-350M-RLCD ships original weights only, which means converting it yourself before it goes anywhere constrained.

  3. Neither has been measured by anyone independent

    Both are days old and every figure in circulation about either was published by the people who trained it. The table above is what can be checked from repository metadata. Everything else about these two is currently unknown.

Settle it on your traffic

This page narrows the choice to the rows that matter. A private benchmark runs LFM2.5-350M-RLCD and Qwen-2.5-1B-RLCD on a frozen set of your own historical decisions and returns accuracy at every coverage level, so you can see which one clears your error budget.

Find out what your data actually supports

We turn your historical decisions into a frozen test set, then tell you which model, which threshold, and how much of it you can safely automate.