2026.11.3

2026-11-02

• Five new browser models joined the Wllama catalog: Spark X2.6 1.7B, Granite 4.2 3B, Qwen 3.5 4B, Gemma 4 E2B and Spark X2.6 4B, each tested end to end against the shipped wasm build with the search-answer prompt. The Gemma 4 and Qwen 3.5 architectures were previously absent from the catalog, and the new entries run on the wasm engine's supported architectures (gemma4, qwen35, spark2_5, granite). Models whose chat template thinks by default ship with chatTemplateKwargs: { enable_thinking: false }, a new per-model field passed to wllama as chat_template_kwargs, because MiniSearch renders only the content channel and a thinking template would otherwise spend the whole token budget on reasoning and answer with nothing. docs/ai-integration.md now records the two measured ceilings a candidate must fit (shard files under 2000 MiB, since Chromium's OPFS silently truncates beyond it; total weights under ~3.7 GB, since the wasm linear memory caps at 4 GiB), and npm run wllama-catalog-check HEADs every shard of every catalog model on HuggingFace to verify the claimed sizes.