DolbyUUU/DeepEnlighten

Pure RL to post-train base models for social reasoning capabilities. Lightweight replication of DeepSeek-R1-Zero with Social IQa dataset.

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Experimental

This project helps AI researchers and developers working on large language models (LLMs) improve their models' social reasoning abilities. By applying pure reinforcement learning to existing base models like Llama or Qwen, it takes a base model and the Social IQa dataset as input and outputs a post-trained model with enhanced social intelligence. This is ideal for those looking to explore how social reasoning generalizes to other cognitive tasks.

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Use this if you are an AI researcher or developer experimenting with reinforcement learning to enhance the emotional and social intelligence of base language models.

Not ideal if you are looking for a plug-and-play solution for end-user applications or if your primary goal is to train models for tasks unrelated to social or mathematical reasoning.

AI-research large-language-models reinforcement-learning social-intelligence model-post-training
No License Stale 6m No Package No Dependents
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Maturity 8 / 25
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Python

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Last pushed

Mar 16, 2025

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