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riddle-diffusion-phase3
Bimaldo/riddle-diffusion-phase3
riddle-diffusion-phase3 is a text generation model from Bimaldo. Use it when you need the model to write or continue text. The card lists the license as mit.
A Diffusion-LM-style (Li et al., 2022) text generation model trained on 232 synthetic riddles. Held-out exact match: 47.0% (K=1 and K=10).
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At a glance
- Task
- Text Generation
- License
- mit
- Access
- Public
- Created
- Jul 12, 2026
- Updated
- Jul 12, 2026
- SHA
- ad89351c
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Model card
From the Hugging Face model README
Diffusion-LM Riddle Solver — Phase 3 Reconstructed
A Diffusion-LM-style (Li et al., 2022) text generation model trained on 232 synthetic riddles. Held-out exact match: 47.0% (K=1 and K=10).
Model description
Continuous embedding diffusion with a Transformer encoder/decoder. The model takes a riddle as context and iteratively denoises Gaussian noise into answer word embeddings via a learned reverse process.
Intended use
Research and diagnostics. Not a production-ready riddle solver.
Training data
Riddles — A Synthetic Riddle Dataset for NLP (CC0). 232 training examples after deduplication.
Architecture
| Parameter | Value |
|---|---|
| Parameters | 8,024,576 |
| Timesteps (T) | 200 |
| d_model | 256 |
| Layers | 4 |
| d_ff | 1024 |
| Heads | 4 |
| Answer length | 4 |
| Noise schedule | sqrt power-law |
Performance
| Split | Exact match (K=1) | Token F1 |
|---|---|---|
| Train (n=192) | 87.5% | 0.960 |
| Held-out (n=66) | 47.0% | 0.523 |
Limitations
- Trained on 232 examples only. Does not generalize broadly.
- Uses continuous embedding diffusion with Euclidean clamping. Discrete formulations may differ.
- Exact-match metric penalizes semantically equivalent answers.
Files
model.safetensors: Model weightsconfig.json: Architecture hyperparametersvocab.json: Vocabulary mappinginference.py: Standalone prediction script
Source
Full source code, diagnostics, and reproduction configs: github.com/beme08/riddle-diffusion-lm
- Task
- Text Generation
- License
- mit
- Languages
- en
- Created
- Jul 12, 2026
- Updated
- Jul 12, 2026