feat(webgpu): harden large-model web loading readiness#73
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Improve web bridge loading resilience and diagnostics for large GGUF models, including cache prefetch wiring, wasm64/fetch fallback controls, and clearer user-facing warnings. Align chat app and docs to bridge assets v0.1.5 and add COI headers to HF static deployment so browser runtime requirements are met by default.
Codecov Report✅ All modified and coverable lines are covered by tests. Additional details and impacted files@@ Coverage Diff @@
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Hits 6271 6271
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Summary
WebGpuLlamaBackendwith smarter fallback/retry behavior, wasm64/fetch-backend controls, and clearer runtime diagnostics for memory/COI/thread constraints.leehack/llama-web-bridge-assets@v0.1.5, update bridge integration docs, and inject COIcustom_headersin HF static deploy workflow output.Validation
dart analyzedart test -p chrome test/unit/backends/webgpu/webgpu_backend_test.dartflutter build web --release(fromexample/chat_app)