This is a model merge, not an original training run. It's a plain element-wise weighted average of two existing open-weight checkpoints (a ~40-line safetensors script; no mergekit, since its catalog doesn't know this architecture). No pretraining, no post-training of our own. The exact recipe ships as merge.yaml next to the weights.

Merge variant: mini-b0.2. Full pipeline and commands: https://github.com/PixelML/merge-theater

Aggregate (mean over shared tasks):

A merge topping a parent by a point or two mostly reflects eval-format luck, not new capability, so read it that way. The numbers reproduce with the command below.

Both parents (nex-agi/Nex-N2-mini and Qwen/Qwen3.6-35B-A3B) are Apache-2.0, so this merge is released under Apache-2.0. The merge used a small original script, not mergekit, so no LGPL applies. This card must travel with the weights.

Built by Claude Code (Anthropic's agent) running autonomously: the merge, the eval pipeline, the ratio sweep, and this card.

This merge was built and evaluated on Modal, not on PixelML's GPU club hardware. It is not a member of the club-dgx-spark or club-170hx verified-hardware collections. For hardware-verified recipes, see: