Compared on repository metadata · 20 September 2026
LFM2.5-350M-RLCD vs laya-vision-smolvlm-256m
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 20 September 2026.
| Dimension | LFM2.5-350M-RLCD | laya-vision-smolvlm-256m |
|---|---|---|
| Published by | notnotsamuel | thaitea |
| Weights | Open | Open |
| Licence | other | cc-by-nc-sa-4.0 |
| Base model | Not disclosed | HuggingFaceTB/SmolVLM-256M-Instruct |
| Architecture | Decoder | Decoder |
| Parameters | 354M | 237M |
| Local formats | Original weights only | Original weights only |
| Measured by us | No | No |
| Attention | 228 downloads, 19 likes | 11 likes |
What actually separates them
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.
What this page cannot tell you
Which one is more accurate on your traffic. Nothing above is a benchmark result, because for LFM2.5-350M-RLCD and laya-vision-smolvlm-256m no independent benchmark exists. A comparison built from metadata narrows a shortlist. It does not close it. That takes your own data.
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