[!TIP] With no benchmark regressions, mostly gains over the previous release, this version of Lamarck has broken the 41.0 average maximum for 14B parameter models. Those providing feedback, thank you!
Lamarck 14B v0.7: A generalist merge with emphasis on multi-step reasoning, prose, and multi-language ability. The 14B parameter model class has a lot of strong performers, and Lamarck strives to be well-rounded and solid:
14b.png
Lamarck is produced by a custom toolchain to automate a process of LoRAs and layer-targeting merges:
Extracted LoRA adapters from special-purpose merges
Kudos to @arcee-ai, @deepseek-ai, @Krystalan, @underwoods, @VAGOSolutions, @CultriX, @sthenno-com, and @rombodawg whose models had the most influence. Vimarckoso v3 has the model card which documents its extended lineage.