Two 4B-class models trade activation vectors 8x per token by injecting into each other's residual streams

Sauers_ · x · 2026-10-29

Arcee showed an unusual experiment: Quill (Qwen3-4B) and Ember (AFM-4.5B) exchange activation vectors 8 times per token, with layer outputs injected directly into each other's residual stream so each model can attend to its partner's past tokens — a novel form of cross-model collaborative inference.

Related event: "Neural Twins": Two Open-Source 4B Models Linked via Hidden States, Open-Sourced(13 posts)→

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