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Dante-Qwen-4B

Curing LLM "Neurosis" with a Divine Comedy Curriculum

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HN · launched Nov 28, 2025 · 5 upvotes (top 90%) · 0 views

Niche: large language models · 191 launches, 4 in the last 7 days ▼ -33% · Explore this niche →

Category and tags

  • Horizontal
  • Model & infra
  • Developer
  • AI-native
  • Hobby / open-source project

Visit website ↗ Source listing ↗

Could you build this?

No Fine-tuning and aligning an open-weights foundation model (Qwen 4B) with a custom curriculum and chain-of-thought reasoning requires ML research expertise, GPU compute clusters, and dataset engineering.

What it would actually take: The project requires an ML training pipeline using PyTorch, MLX, or Hugging Face TRL/Unsloth, a curated multi-stage reasoning/ethics dataset, and hyperparameter tuning for LoRA/SFT/DPO runs on high-end GPUs. The hard part is designing a curriculum dataset that prevents catastrophic forgetting while altering reasoning behavior in small models without degrading general benchmarks. It requires AI/ML research expertise and access to GPU compute infrastructure.

Discussion

1 comment analyzed.

Concerns raised: Whether deeper understanding actually transfers to real safety behavior, Scalability beyond small fine-tuning on consumer hardware, Reproducibility of results across different model architectures

Feature requests: Removing remaining data artifacts (Virgil labels) in later circles, Evaluation framework for measuring alignment understanding vs. behavioral compliance, Open-sourcing synthetic data generation methodology

Competitors

Other products that read as similar to this one : 1485 launches clear the similarity bar, closest 8 shown.

Attention rank: #1364 of 1486 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 29 days after the earliest competitor.

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