tiger-dnr__tiger_dialog_fp16

Source	https://huggingface.co/litert-community/TIGER-DnR-LiteRT
License	apache-2.0
Model file	`a4d8489cda4b282b93573e11d577d2712ee7816005f2545928302a31fb6182d6.tflite` — downloaded from the source at runtime; this site hosts no weights

Run it in your browser

Measured sweep results

Every number is labeled with the environment that produced it — headless desktop Chromium is not a user’s phone, and results are only meaningful together with their environment.

Backend	Status	Full delegation	Output match	Latency p50 (ms)	Environment	Verified	Provenance
`wasm_xnnpack`	pass	—	—	27817.165	mac-studio-m4-max · chromium 151.0.7922.34 headless · macOS · @litertjs/core 2.5.3	2026-08-11	measured
`webgpu_mldrift`	output_mismatch	yes	fail	483.59	mac-studio-m4-max · chromium 151.0.7922.34 headless · macOS · @litertjs/core 2.5.3	2026-08-11	measured

Build this yourself

One-line prompt for your AI coding assistant (uses the litert-cookbook web skill):

Use the litert-cookbook web skill to build a LiteRT.js browser demo for tiger-dnr__tiger_dialog_fp16: load the model from https://huggingface.co/litert-community/TIGER-DnR-LiteRT/resolve/main/a4d8489cda4b282b93573e11d577d2712ee7816005f2545928302a31fb6182d6.tflite (license: apache-2.0) and run it with @litertjs/core.

Reproduce this with an agent

One-line prompt for Claude Code / Gemini CLI — re-runs the same sweep verification for this model, locally:

In the edge-compat repo, verify tiger-dnr__tiger_dialog_fp16 with the sweep harness: write /tmp/catalog.csv with the header line model_id,source,input_spec,license,notes and the single row tiger-dnr__tiger_dialog_fp16,https://huggingface.co/litert-community/TIGER-DnR-LiteRT/resolve/main/a4d8489cda4b282b93573e11d577d2712ee7816005f2545928302a31fb6182d6.tflite,1x534016:float32,apache-2.0, — then run: cd web/sweep && npm ci && npm run sweep -- --catalog /tmp/catalog.csv --out out/ — and compare out/tiger-dnr__tiger_dialog_fp16.json with the sweep table on this page.