Update README.md

README.md

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-# LLaMA 3.2 1B Instruct
+## LLaMA 3.2 1B Instruct
 
-## 1. **Model Title**
+LLaMA 3.2 1B Instruct is a multilingual instruction-tuned language model with 1.23 billion parameters. Designed for diverse multilingual dialogue and summarization tasks, it offers effective performance on a range of NLP benchmarks.
+
+### Model Information
 - **Name**: LLaMA 3.2 1B Instruct
 - **Parameter Size**: 1B (1.23B)
-
-## 2. **Quantization Information**
-- **Available Formats**:
-  - **ggml-model-q8_0.gguf**: 8-bit quantization for resource efficiency and good performance.
-  - **ggml-model-f16.gguf**: Half-precision (16-bit) floating-point format for enhanced precision.
-- **Quantization Library**: llama.cpp
-- **Use Cases**: Recommended for tasks such as multilingual dialogue, text generation, and summarization.
-
-## 3. **Model Brief**
-LLaMA 3.2 1B Instruct is a multilingual instruction-tuned language model, optimized for various dialogue tasks. It has been trained on a diverse set of publicly available data and performs well on common NLP benchmarks. The model architecture leverages improved transformer optimizations, making it effective for both text-only and code tasks.
-
-- **Purpose**: Multilingual dialogue generation and summarization.
 - **Model Family**: LLaMA 3.2
 - **Architecture**: Auto-regressive Transformer with Grouped-Query Attention (GQA)
+- **Purpose**: Multilingual dialogue generation, text generation, and summarization.
 - **Training Data**: A mix of publicly available multilingual data, covering up to 9T tokens.
 - **Supported Languages**: English, German, French, Italian, Portuguese, Hindi, Spanish, and Thai.
 - **Release Date**: September 25, 2024
 - **Context Length**: 128k tokens
 - **Knowledge Cutoff**: December 2023
 
-## 4. **Core Library Information**
-- **Library**: llama.cpp
-  - *[Repository Link](https://github.com/ggerganov/llama.cpp)*
+### Quantized Model Files
+- **Available Formats**:
+  - **ggml-model-q8_0.gguf**: 8-bit quantization for resource efficiency and good performance.
+  - **ggml-model-f16.gguf**: Half-precision (16-bit) floating-point format for enhanced precision.
+- **Quantization Library**: llama.cpp
+- **Use Cases**: Multilingual dialogue, summarization, and text generation.
+
+### Core Library
+LLaMA 3.2 1B Instruct can be deployed using `llama.cpp` or `transformers`, with a focus on streamlined integration into the Hugging Face ecosystem.
+
+- **Primary Framework**: `llama.cpp`  
+- **Alternate Frameworks**:
+  - `transformers` for Hugging Face model support.
+  - `vLLM` for optimized inference and low-latency deployments.
+
+**Library and Model Links**:
 - **Model Base**: [meta-llama/Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct)
+- **Models**: [meta-llama/llama-stack](https://github.com/meta-llama/llama-stack)
+- **Inference Support**: [meta-llama/llama](https://github.com/meta-llama/llama)
+- **Quantization**: [ggerganov/llama.cpp](https://github.com/ggerganov/llama.cpp)  
 
-## 5. **Safety and Responsible Use**
-LLaMA 3.2 1B is designed with safety in mind but still carries inherent risks due to its generative nature. It may produce biased, harmful, or unpredictable responses, especially for less-tested languages or sensitive prompts.
+### Safety and Responsible Use
+LLaMA 3.2 1B has been designed with safety in mind but may produce biased, harmful, or unpredictable outputs, especially for less-covered languages or specific prompts.
 
-- **Testing and Risk Assessment**: Initial testing has focused on English outputs, and coverage for other languages is ongoing.
-- **Limitations**: As with most LLMs, LLaMA 3.2 may not fully adhere to user instructions or safety guidelines and might exhibit unexpected behavior.
-- **Responsible Use Guidelines**: For deployment, thorough testing is advised to align outputs with application-specific safety requirements. Refer to the [Responsible Use Guide](https://ai.meta.com/llama/responsible-use-guide/) for more details.
+- **Testing and Risk Assessment**: Initial testing has primarily focused on English; coverage for other languages is ongoing.
+- **Limitations**: LLaMA 3.2 may not fully adhere to user instructions or safety guidelines, and may exhibit unexpected behaviors.
+- **Responsible Use Guidelines**: Refer to the [Responsible Use Guide](https://ai.meta.com/llama/responsible-use-guide/) for more details.