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  # boltz2
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- This repository contains a biomolecular `model` artifact.
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- It serves the `structure_prediction` task.
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- The architecture is `boltz2`.
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- The artifact is described by `manifest.json`; runtime configuration and weights stay in their own files.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ```python
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  from ofoldx import AutoModel
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  model = AutoModel.from_pretrained("oteam/boltz2")
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  ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  # boltz2
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+ OFoldX `model` artifact for biomolecular structure prediction, using the `boltz2` architecture.
 
 
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+ ## Disclaimer
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+
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+ This model card was generated by the OFoldX team for an OFoldX `model` artifact.
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+ The upstream model authors did not write this card unless explicitly stated otherwise.
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+
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+ OFoldX is pre-alpha research software. Check the source checkpoint, upstream release, and local validation
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+ before using the artifact for scientific or operational decisions.
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+
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+ ## Model Details
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+
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+ Boltz-2-shaped structure-prediction model converted for the OFoldX runtime.
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+
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+ ### Model Specification
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+
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+ | Field | Value |
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+ | ----- | ----- |
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+ | Repository | `oteam/boltz2` |
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+ | Artifact Kind | `model` |
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+ | Task | `structure_prediction` |
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+ | Architecture | `boltz2` |
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+ | Entrypoint | `ofoldx.models.boltz2.model.Boltz2Model` |
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+ | Config | `config.json` |
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+ | Weights | `model.safetensors` |
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+
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+ ### Links
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+
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+ - **Hub repository**: [oteam/boltz2](https://huggingface.co/oteam/boltz2)
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+ - **Code**: [`ofoldx/models/boltz2/model.py`](https://github.com/OTeam-AI4S/OFoldX/tree/main/ofoldx/models/boltz2/model.py)
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+ - **Project repository**: [https://github.com/OTeam-AI4S/OFoldX](https://github.com/OTeam-AI4S/OFoldX)
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+ - **Issues**: [https://github.com/OTeam-AI4S/OFoldX/issues](https://github.com/OTeam-AI4S/OFoldX/issues)
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+
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+ ## Usage
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+
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+ The artifact depends on the [`ofoldx`](https://github.com/OTeam-AI4S/OFoldX) library. Install it with pip:
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+
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+ ```bash
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+ pip install ofoldx
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+ ```
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+
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+ ### Direct Use
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+
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+ Load the artifact from `oteam/boltz2` using the OFoldX `Auto*` interface:
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  ```python
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  from ofoldx import AutoModel
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  model = AutoModel.from_pretrained("oteam/boltz2")
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  ```
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+
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+ When a matching processor is available, load it with `AutoProcessor.from_pretrained(...)` and pass the
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+ processed batch to the model.
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+
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+ ### Interface
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+
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+ - **Task**: `structure_prediction`
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+ - **Artifact kind**: `model`
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+ - **Architecture**: `boltz2`
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+ - **Runtime files**: `manifest.json`, `config.json`, and `model.safetensors` when present
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+
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+ ## Training Details
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+
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+ The training data and training procedure are inherited from the upstream checkpoint release. They are not
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+ reproduced inside this OFoldX artifact unless additional source-specific metadata is provided in the files.
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+
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+ ## Evaluation
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+ OFoldX conversion reports and contract tests validate artifact structure and checkpoint loading. Task-level
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+ scientific evaluation should be checked against the corresponding upstream model release or paper.
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+
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+ ## Limitations
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+
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+ - This artifact is distributed for research use.
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+ - Inputs must match the model-specific processor and expected biomolecular representation.
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+ - OFoldX is pre-alpha, so APIs and artifact metadata may still change before a stable release.
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+
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+ ## Citation
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+
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+ Please cite the upstream model or paper associated with the source checkpoint. If OFoldX supports your work,
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+ please also cite or link the OFoldX project repository.
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+
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+ ## Contact
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+
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+ Please use [OFoldX GitHub issues](https://github.com/OTeam-AI4S/OFoldX/issues) for questions or comments about this model card.
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+
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+ ## License
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+
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+ The OFoldX project license is not yet finalized. The source checkpoint may carry additional upstream license
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+ terms; review both OFoldX and upstream terms before redistribution or production use.