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Release Timmy T2 v0.1.0

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README.md ADDED
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+ ---
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+ library_name: transformers
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+ pipeline_tag: text2text-generation
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+ tags:
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+ - t5
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+ - seq2seq
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+ - onnx
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+ - transformers.js
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+ - browser-ml
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+ - timers
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+ - synthetic-data
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+ datasets:
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+ - Satansdeer/timmy-t2-timer-sft
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+ license: apache-2.0
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+ ---
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+
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+ # Timmy T2
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+
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+ Timmy T2 stands for **Timmy Timer Translator**. It is a tiny, browser-first seq2seq model for translating natural-language timer requests into Timey's compact action DSL.
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+
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+ This is not a new foundation architecture. It is a task-specific fine-tuned T5-style encoder-decoder model plus a compact output language, lossless slot-annotated input format, constrained parser, and browser ONNX runtime package.
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+
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+ ## Release
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+
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+ - Version: `v0.1.0`
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+ - Runtime model version: `phase4y-actions-browser-exact-checkpoint-50-dynq8enc-q4dec-ort-beam4`
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+ - Production commit: `213323b`
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+ - Production deploy: `6a0ed36e0172c100ef1ab8ac`
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+ - Dataset: [Satansdeer/timmy-t2-timer-sft](https://huggingface.co/datasets/Satansdeer/timmy-t2-timer-sft)
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+
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+ ## Intended Use
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+
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+ Timmy T2 is intended for Timey-style timer planning:
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+
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+ ```text
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+ 5 one minute timers and one 30 second
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+ ```
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+
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+ The model emits action commands over extracted slot ids:
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+
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+ ```text
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+ REP C0 A0
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+ ADD A1
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+ END
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+ ```
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+
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+ The application parses those commands into concrete timers deterministically.
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+
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+ ## Files
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+
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+ - Root files are the fp32/safetensors checkpoint for Python Transformers.
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+ - `browser/` contains the production browser artifact:
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+ - dynamic q8 encoder ONNX
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+ - q4 decoder ONNX
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+ - tokenizer/config files used by the Timey browser runtime
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+ - `eval/` contains release evaluation summaries.
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+ - `release_manifest.json` records hashes, sizes, evals, and production smoke checks.
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+
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+ ## Training Data
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+
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+ Public dataset rows:
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+
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+ | Split | Rows |
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+ | --- | ---: |
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+ | train | 2639 |
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+ | validation | 207 |
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+ | hard_validation | 62 |
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+ | all_public | 2846 |
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+
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+ The 16-row hidden validation split is withheld from the public dataset to preserve a private holdout.
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+
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+ ## Evaluation
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+
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+ | Eval | Records | Parseable | Strict exact | Semantic exact | Semantic invalid |
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+ | --- | ---: | ---: | ---: | ---: | ---: |
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+ | onnx-dynq8enc-q4dec-validation | 207 | 100% | 100% | 100% | 0% |
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+ | onnx-dynq8enc-q4dec-hard | 62 | 100% | 100% | 100% | 0% |
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+ | onnx-dynq8enc-q4dec-hidden | 16 | 100% | 100% | 100% | 0% |
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+ | onnx-dynq8enc-q4dec-browser-failures | 3 | 100% | 100% | 100% | 0% |
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+ | fp32-validation | 207 | 100% | 100% | 100% | 0% |
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+ | fp32-hard | 62 | 100% | 100% | 100% | 0% |
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+ | fp32-hidden | 16 | 100% | 100% | 100% | 0% |
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+
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+ ## Browser Smoke
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+
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+ The deployed production browser runtime was smoke-tested with service workers enabled. It loaded `timey-t5-efficient-tiny` and produced the expected timer sequences for:
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+
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+ - `5 one minute timers and one 30 second` -> `[60, 60, 60, 60, 60, 30]`
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+ - `first and last timer 5 minute, 5 one minute timers in between` -> `[300, 60, 60, 60, 60, 60, 300]`
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+
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+ ## Limitations
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+
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+ - This is a narrow task model for timer requests, not a general assistant.
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+ - It expects Timey's lossless slot-annotated input format at inference time.
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+ - Correction/edit requests are intentionally handled by deterministic fallback logic in the app.
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+ - Public validation is synthetic and task-targeted; broader natural user traffic should be evaluated before expanding claims.
browser/README.md ADDED
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+ # Browser Runtime Artifact
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+
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+ This folder contains the production browser artifact for Timmy T2 v0.1.0.
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+
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+ The Timey app uses Transformers.js 4.2.0 for tokenization and ONNX Runtime Web 1.26.0-dev.20260416-b7804b056c for explicit encoder/decoder inference.
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+
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+ Files:
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+
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+ - `onnx/encoder_model_quantized.onnx`: dynamic q8 encoder
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+ - `onnx/decoder_model_quantized.onnx`: q4 decoder
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+ - tokenizer and config files copied from the production browser model directory
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+
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+ The browser artifact is validated through the app's parser and production smoke checks. See `../release_manifest.json` for hashes, sizes, and eval summaries.
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+ "layer_norm_epsilon": 1e-06,
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+ "transformers_version": "4.57.6",
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