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README.md

@@ -1,62 +1,23 @@
 ---
+license: apache-2.0
 base_model: Qwen/Qwen3-8B
-library_name: peft
-model_name: qwen3-8b-narrated-sft
 tags:
-- base_model:adapter:Qwen/Qwen3-8B
+- manim
+- manim-voiceover
+- text-to-speech
+- aos
 - lora
 - sft
-- transformers
-- trl
-licence: license
-pipeline_tag: text-generation
 ---
 
-# Model Card for qwen3-8b-narrated-sft
+# AOS-qwen3-8b-narrated-adapter
 
-This model is a fine-tuned version of [Qwen/Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B).
-It has been trained using [TRL](https://github.com/huggingface/trl).
+Fine-tuned LoRA adapter on **400 Narrated Manim Trajectories** using `manim-voiceover`.
 
-## Quick start
+## Features
+- **Pedagogical Audio Grounding**: Synthesizes synchronized `VoiceoverScene` Python scripts.
+- **Timing Synchronization**: Generates animations bounded by `run_time=tracker.duration`.
+- **Phonetic LaTeX**: Spoken voiceover scripts express formulas verbally without raw LaTeX syntax errors.
 
-```python
-from transformers import pipeline
-
-question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
-generator = pipeline("text-generation", model="None", device="cuda")
-output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
-print(output["generated_text"])
-```
-
-## Training procedure
-
- 
-
-
-
-This model was trained with SFT.
-
-### Framework versions
-
-- PEFT 0.20.0
-- TRL: 1.12.0
-- Transformers: 5.16.1
-- Pytorch: 2.7.1+cu118
-- Datasets: 5.0.1
-- Tokenizers: 0.23.2
-
-## Citations
-
-
-
-Cite TRL as:
-    
-```bibtex
-@software{vonwerra2020trl,
-  title   = {{TRL: Transformers Reinforcement Learning}},
-  author  = {von Werra, Leandro and Belkada, Younes and Tunstall, Lewis and Beeching, Edward and Thrush, Tristan and Lambert, Nathan and Huang, Shengyi and Rasul, Kashif and Gallouédec, Quentin},
-  license = {Apache-2.0},
-  url     = {https://github.com/huggingface/trl},
-  year    = {2020}
-}
-```
+## Base Model
+- `Qwen/Qwen3-8B`