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Head-to-head · LFM

LFM2 1.2B vs LFM2.5 1.2B Thinking

LFM2 1.2B needs ~2.5 GB at Q4_K_M; LFM2.5 1.2B Thinking needs ~1.8 GB. That ~-0.7 GB gap decides which hardware runs each; they differ on 0 of the 14 devices below.

Spec LFM2 1.2B LFM2.5 1.2B Thinking
Parameters1.17B1.17B
Memory at Q4_K_M~2.5 GB~1.8 GB
Context window128k128k
LMArenanot rankednot ranked
LicenseLFM Open License v1.0LFM Open License v1.0

Which devices run each

A representative spread across the memory range. Tap a verdict for the full breakdown.

Size at each quantization

Quant LFM2 1.2B LFM2.5 1.2B Thinking
Q2_K 0.5 GB* 0.5 GB*
Q3_K_M 0.6 GB* 0.6 GB*
Q4_K_M 1.42 GB 0.68 GB
Q5_K_M 0.8 GB* 0.8 GB*
Q6_K 1 GB* 1 GB*
Q8_0 1.16 GB 1.16 GB
FP16 2.34 GB 2.18 GB

* derived from bits-per-weight; unstarred sizes are measured GGUF files.

Bottom line

The larger LFM2.5 1.2B Thinking needs ~1.8 GB; LFM2 1.2B runs on lighter hardware at ~2.5 GB with more headroom and faster responses. Check each against your exact device: what runs LFM2 1.2B · what runs LFM2.5 1.2B Thinking.

More LFM comparisons

FAQ

What is the difference in memory between LFM2 1.2B and LFM2.5 1.2B Thinking?

At Q4_K_M, LFM2 1.2B needs about 2.5 GB and LFM2.5 1.2B Thinking needs about 1.8 GB, a difference of ~-0.7 GB.

Should I run LFM2 1.2B or LFM2.5 1.2B Thinking?

Run LFM2.5 1.2B Thinking if your hardware has the ~1.8 GB it needs and you want maximum quality; run LFM2 1.2B (~2.5 GB) for lighter hardware, faster responses, and more memory headroom.

Full breakdowns: LFM2 1.2B · LFM2.5 1.2B Thinking · all models × devices.

Sources

Memory figures are estimates at Q4_K_M, validated 2026-08-03. See methodology.