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Model: ruggsea/dante-zero-2025-03-05
Source: Original Platform

README.md

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+---
+license: apache-2.0
+language:
+- it
+base_model:
+- PleIAs/Pleias-350m-Preview
+pipeline_tag: text-generation
+tags:
+- poetry
+library_name: transformers
+---
+# Dante-Zero Fine-tuned Model
+
+This model was fine-tuned using Reinforcement Learning with Group Relative Policy Optimization (GRPO) to generate Dante-style poetry in endecasillabi (11-syllable lines).
+
+## Model Details
+
+- **Base Model:** PleIAs/Pleias-350m-Preview
+- **Training Method:** GRPO (Group Relative Policy Optimization )
+- **Training Data:** 1,000 chunks from Dante's Divine Comedy
+- **Epochs:** 10
+- **Trained By:** ruggsea
+- **Date:** 2025-03-05
+
+## Model Description
+
+This model is specialized in generating Italian poetry in the style of Dante Alighieri's Divine Comedy. It has been trained to:
+
+1. Generate proper endecasillabi (11-syllable lines)
+2. Follow the structure of Dante's poetry
+3. Avoid repetition
+4. Create original content (not plagiarize the Divine Comedy)
+
+## Usage
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+# Load model and tokenizer
+model = AutoModelForCausalLM.from_pretrained("ruggsea/dante-zero-2025-03-05")
+tokenizer = AutoTokenizer.from_pretrained("ruggsea/dante-zero-2025-03-05")
+
+# Generate poetry
+prompt = "Nel mezzo del cammin di nostra vita"
+inputs = tokenizer(prompt, return_tensors="pt")
+outputs = model.generate(
+    inputs.input_ids,
+    max_new_tokens=200,
+    do_sample=True,
+    temperature=0.7,
+    top_p=0.9,
+    repetition_penalty=1.2
+)
+generated_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
+print(generated_text)
+```
+
+## Reward Functions
+
+The model was trained using several reward functions:
+
+1. **Endecasillabo Checker:** Rewards proper 11-syllable lines
+2. **Plagiarism Checker:** Penalizes copying from the Divine Comedy
+3. **Verse Structure Checker:** Encourages verse-like structure
+4. **Repetition Penalty:** Discourages repetitive patterns
+
+## License
+
+This model is available under the same license as the base model (PleIAs/Pleias-350m-Preview).