Release/0.34.1#211
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July 5, 2026 19:18
The encoder's attention/LayerNorm params were not layer-prefixed (attn.q_proj.weight, attn_norm.weight repeated every layer) while FFN params were (enc.$layer.ffn_*), so by-name weight loading couldn't distinguish layers. Qualify the attn/attn_norm/ffn_norm ids with enc.$layer. so all names are unique — verified: 2-layer dump has zero duplicate names. No public API change (moonshineEncoder() unchanged); patch on engine 0.34.0. VERSION_NAME 0.34.0 -> 0.34.1, CHANGELOG + README updated. moonshine jvmTest green.
The getting-started-java and llama3-tool-calling tutorials pinned skainet-transformers-bom:0.32.1 (stale — never bumped past 0.32.x). Point them at the current 0.34.1 so copied snippets resolve the published release. Verified: Antora site builds via the docker image.
Document skainet-transformers-inference-moonshine in the Antora Reference section: the moonshineEncoder() API + MoonshineConfig, the pre-norm/partial-rotary architecture, the portable DSL->StableHLO->NPU compile path, and the 0.34.1 layer-qualified parameter names. Verified: Antora site builds via the docker image.
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