Update README.md

README.md

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+---
+base_model:
+- LiquidAI/LFM2-350M
+tags:
+- text-generation-inference
+- transformers
+- unsloth
+- lfm2
+- trl
+license: apache-2.0
+language:
+- en
+- ml
+pipeline_tag: text-to-speech
+---
+
+# Malayalam TTS Model (LFM2-350M Fine-tuned)
+
+This repository contains a fine-tuned **Malayalam Text-to-Speech (TTS)** model based on **LFM2-350M**, trained using [VyvoTTS](https://github.com/Vyvo-Labs/VyvoTTS) (LLM-based TTS framework) and [Unsloth](https://github.com/unslothai/unsloth).
+
 ---
-base_model: Vyvo/VyvoTTS-LFM2-Neuvillette
-tags:
-- text-generation-inference
-- transformers
-- unsloth
-- lfm2
-- trl
-license: apache-2.0
-language:
-- en
----
+Malayalam TTS — 24 kHz (LLM + SNAC Codec)
+
+High-quality Malayalam text-to-speech model targeting natural pronunciation and clean prosody at 24 kHz, using a discrete audio codec (SNAC 24 kHz) for waveform reconstruction. Designed for lightweight deployment (~350M parameters) with GPU/CPU support.
+
+Status: v0.1 — stable inference, strong pronunciation, limited emotional expressiveness. Roadmap includes expressive styles and non‑verbal cues (laughter, giggles, breaths).
+
+✨ Highlights
+
+Language: Malayalam (with support for basic English loanwords).
+
+Sample Rate: 24 kHz, mono.
+
+Codec: [SNAC 24 kHz] for fast decoding.
+
+Model Size: ~350M parameters (small/efficient).
 
-# Uploaded  model
+Strengths: Clear, non‑robotic pronunciation; punctuation‑aware phrasing.
 
-- **Developed by:** Praha-Labs
-- **License:** apache-2.0
-- **Finetuned from model :** Vyvo/VyvoTTS-LFM2-Neuvillette
+Known Limits: Emotion range is narrow; limited style transfer; no speaker cloning in v0.1.
 
-This lfm2 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+## 📖 Model Details
+- **Base Model:** LFM2-350M  
+- **Language:** Malayalam  
+- **Dataset:** [ai4bharat/rasa](https://huggingface.co/datasets/ai4bharat/rasa) (Malayalam subset)  
+- **Training:** 10 epochs, ~77k steps  
+- **Frameworks Used:** VyvoTTS, Unsloth  
 
-[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
+---