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README.md

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 license: apache-2.0
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-models are present at this page = [click here](https://huggingface.co/ANISH-j/models-for-echo-application/tree/main)
+
+# Models for Echo Application
+
+This repository contains **LiteRT-compatible language model variants** used by the AI engine of the **Echo application**.  
+All models here are optimized and validated specifically for **LiteRT adaptations** of the framework on which the application AI engine is built.
+
+The models listed below are **standard, stable, and fully working variants** used for chat functionality.
+
+Repository link:  
+https://huggingface.co/ANISH-j/models-for-echo-application/tree/main
+
+---
+
+## Supported Model Variants
+
+### 1. `Gemma3-1B-IT_multi-prefill-seq_q4_ekv4096.litertlm`
+
+- **Model family:** Gemma 3
+- **Size:** 1B parameters
+- **Quantization:** Q4
+- **Format:** LiteRT model (`.litertlm`)
+- **KV Cache:** Extended KV (4096)
+- **Features:**
+  - Multi-prefill sequence support
+  - Optimized memory usage
+  - Efficient long-context chat handling
+
+**Recommended for:**  
+Chat scenarios requiring longer conversational context with optimized KV-cache performance.
+
+---
+
+### 2. `gemma3-1b-it-int4.task`
+
+- **Model family:** Gemma 3
+- **Size:** 1B parameters
+- **Quantization:** INT4
+- **Format:** LiteRT task model (`.task`)
+- **Features:**
+  - Low-latency inference
+  - Compact model size
+  - Stable real-time chat performance
+
+**Recommended for:**  
+Low-resource or latency-sensitive chat applications.
+
+---
+
+## Framework Compatibility
+
+- Compatible with **LiteRT runtime**
+- Tested with the **Echo application AI engine**
+- Designed for **instruction-tuned (IT)** chat behavior
+- Not intended for direct PyTorch or TensorFlow usage without conversion
+
+---
+
+## Repository Structure
+
+models-for-echo-application/
+├── Gemma3-1B-IT_multi-prefill-seq_q4_ekv4096.litertlm
+├── gemma3-1b-it-int4.task
+└── README.md
+
+
+---
+
+## License
+
+Licensed under the **Apache License 2.0**.  
+You may use, modify, and distribute these models in compliance with the license.
+
+---