Update README.md

README.md

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----
-license: apache-2.0
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+---
+license: apache-2.0
+language:
+- en
+pipeline_tag: image-text-to-text
+tags:
+- spec-2
+---
+
+<h1>Spec-2</h1>
+
+**Spec-2 comes with 10 billion parameters, designed to redefine intelligence with unparalleled capabilities in logical reasoning, natural language understanding, and multi-domain adaptability. Developed by SVECTOR, Spec-2 pushes the limits of modern AI to deliver exceptional performance for both enterprise and research applications.**
+
+---
+
+## Overview
+
+Spec-2 is the next-generation AI model from SVECTOR, building on the foundation set by its predecessor, Spec-1. With a 10 billion parameter architecture, Spec-2 offers:
+- **Advanced Logical Reasoning:** Tackling intricate reasoning challenges with high accuracy.
+- **Enhanced Natural Language Understanding:** Delivering robust performance across various language tasks.
+- **Multi-Modal Adaptability:** Capable of processing text, images, and structured data seamlessly.
+- **Ethical AI Alignment:** Developed with a commitment to responsible and unbiased AI.
+
+---
+
+## Key Features
+
+- **Next-Gen Architecture:** Utilizes SVECTOR’s proprietary 2nd-generation design optimized for large-scale computations and precision.
+- **10 Billion Parameters:** A significant scale-up enabling unmatched comprehension and adaptability.
+- **Multi-Modal Capabilities:** Processes text, images, and other data types to support a wide range of applications.
+- **Optimized Tokenizer and Configuration:** Updated tokenizer and configuration files ensure smooth integration and maximum performance.
+- **Ethical and Responsible:** Incorporates state-of-the-art responsible AI principles to guarantee safe and unbiased outputs.
+
+---
+
+## Technical Overview
+
+Spec-2 is built upon innovations in sparse tensor computation, adaptive attention mechanisms, and hybrid transformer layers. Key architectural highlights include:
+
+- **Sparse Tensor Computation:** Efficient handling of large-scale data.
+- **Adaptive Attention Mechanisms:** Dynamic focus on relevant features across multi-modal inputs.
+- **Hybrid Transformer Layers:** Combining the strengths of traditional and modern transformer approaches for superior performance.
+- **Low Latency Multi-Turn Reasoning:** Designed for applications that require rapid and accurate responses.
+
+---
+
+## Applications
+
+Spec-2 is designed to excel across a broad range of domains, including:
+
+- **Natural Language Processing:** Enhancing conversational agents, translation systems, and text analysis tools.
+- **Creative Assistance:** Supporting content creation, design ideation, and artistic exploration.
+- **Scientific Research:** Facilitating complex simulations, data analysis, and advanced computational tasks.
+- **Decision Automation:** Empowering intelligent automation in business systems and enterprise applications.
+
+---
+
+## Installation
+
+To get started with Spec-2, install the latest version of the Hugging Face Transformers library:
+
+```bash
+pip install transformers
+```
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+# Load the Spec-2 model and tokenizer from Hugging Face
+model = AutoModelForCausalLM.from_pretrained("SVECTOR-CORPORATION/Spec-2", device_map="auto")
+tokenizer = AutoTokenizer.from_pretrained("SVECTOR-CORPORATION/Spec-2")
+
+# Example prompt for text generation
+prompt = "Describe the future of AI technology."
+inputs = tokenizer.encode(prompt, return_tensors="pt").to(model.device)
+
+# Generate response
+outputs = model.generate(inputs, max_new_tokens=100)
+response = tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+print("Spec-2 Response:", response)
+```
+
+---
+
+## Configuration Files
+
+The Spec-2 release includes updated tokenizer and configuration files, which are optimized for performance and scalability. These files ensure that developers can easily integrate Spec-2 into diverse environments and applications. For further customization, please refer to the configuration documentation in the repository.
+
+---
+
+## License
+
+Spec-2 is released under the [Apache license 2.0](./LICENSE).
+
+---
+
+## Contact
+
+For support or inquiries about Spec-2, please reach out via [research@svector.co.in](mailto:research@svector.co.in) or visit our [website](https://www.svector.co.in).
+
+---