| Name | Modified | Size | Downloads / Week |
|---|---|---|---|
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| 2026.11.3 source code.tar.gz | 2026-11-03 | 608.6 kB | |
| 2026.11.3 source code.zip | 2026-11-03 | 785.3 kB | |
| README.md | 2026-11-03 | 1.1 kB | |
| Totals: 3 Items | 1.4 MB | 0 | |
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 withchatTemplateKwargs: { enable_thinking: false }, a new per-model field passed to wllama aschat_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.mdnow 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), andnpm run wllama-catalog-checkHEADs every shard of every catalog model on HuggingFace to verify the claimed sizes.