Pretrained int8 ONNX titler weights for traceforge (activity/step span head)
Project description
traceforge-title-model
Pretrained int8 ONNX titler weights for traceforge.
This is a pure data package. It carries the activity/step (span) titler head and nothing else:
| head | dir | model | size |
|---|---|---|---|
| span (activity/step titles) | data/span/ |
seq-KD flan-t5-small | ~96 MB |
Session naming (naming a session from its first user message) is not a model head here — the distilled request head was proven weak at it and was dropped; traceforge names sessions with a zero-cost heuristic (plus an opt-in LLM API tier).
Why a separate package?
The core traceforge wheel is code-only and small. The model weights live here and
are pulled in automatically as a hard dependency of traceforge:
pip install traceforge-toolkit # pulls traceforge-title-model from PyPI
uv add traceforge-toolkit
You almost never depend on this package directly — traceforge.title resolves the
weights for you. If you must:
import traceforge_title_model as m
m.span_dir() # -> .../data/span
Distribution
- Primary: PyPI (
traceforge-title-model), resolved automatically bytraceforge. - Mirror / fallback: the same wheel is published as a GitHub release asset under the
title-model-v*tags.traceforge download-model --source ghinstalls it from there when PyPI is unavailable.
License
MIT, same as traceforge.
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The following attestation bundles were made for traceforge_title_model-0.2.0-py3-none-any.whl:
Publisher:
publish-title-model.yml on dfinson/traceforge
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