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README.md
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---
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license: cc-by-nc-4.0
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---
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license: cc-by-nc-4.0
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datasets:
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- NingLab/C-MuMOInstruct
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language:
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- en
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base_model:
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- mistralai/Mistral-7B-Instruct-v0.3
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pipeline_tag: text-generation
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tags:
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- chemistry
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- molecule optimization
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---
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### Model Sources
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<!-- Provide the basic links for the model. -->
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- **Repository:** https://github.com/ninglab/GeLLMO-C
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- **Paper:**
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## Usage
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For instructions to run the model, please refer to our repository.
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## Bias, Risks, and Limitations
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While our models are designed for research and drug discovery applications,
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they come with ethical and safety considerations:
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1. **Potential for Misuse:** Although the model is not explicitly designed to generate toxic,
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controlled, or harmful compounds, adversarial prompts or unintended biases in the pretrained model
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may lead to the generation of undesirable molecules.
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2. **Unintended Harmful Outputs:** The model does not inherently filter out molecules with high toxicity,
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abuse potential, or environmental hazards. Users must implement additional safeguards to prevent misuse.
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3. **Absence of Built-in Safety Mechanisms:** The model does not incorporate explicit regulatory or
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safety filters (e.g., toxicity or compliance checks).
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It is the responsibility of users to validate generated molecules for safety and ethical considerations.
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We urge users to adopt best practices, including toxicity prediction pipelines,
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ethical oversight, and responsible AI usage policies, to prevent harmful applications of this model.
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