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README.md

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+---
+library_name: llama
+tags:
+  - quantization
+  - efficient-inference
+  - machine-learning
+  - language-model
+license: apache-2.0
+datasets:
+  - ATLAS-QUANTUM # Replace with actual dataset names
+language: en
+model_architecture: llama
+model_size: 6.74B
+quantization: Q2_K
+inference: true
+---
+
+# ATLAS-QUANTUM
+
+**Author:** [steef68](https://huggingface.co/steef68)  
+**Repository:** [ATLAS-QUANTUM](https://huggingface.co/steef68/ATLAS-QUANTUM)  
+
+---
+
+## Overview
+
+ATLAS-QUANTUM is a lightweight and efficient implementation of a LLaMA-based language model. It is optimized for environments requiring high efficiency and reduced computational overhead through 2-bit quantization (Q2_K). This configuration is ideal for fast inference while maintaining quality in natural language processing tasks.
+
+### Key Features
+- **Model Size:** 6.74 billion parameters  
+- **Quantization:** 2-bit (Q2_K) for compact deployment  
+- **Architecture:** LLaMA  
+- **Language Support:** English  
+- **Purpose:** Inference-ready, suitable for various NLP applications
+
+---
+
+## Usage
+
+To deploy this model or use it in your application, follow the steps below:
+
+### Quick Start
+1. **Clone the Repository:**
+   ```bash
+   git clone https://huggingface.co/steef68/ATLAS-QUANTUM
+   cd ATLAS-QUANTUM
+
+2. Install Dependencies: Install the required libraries. Ensure compatibility with Hugging Face's transformers library.
+
+
+3. Load the Model: Use the following Python code snippet to load and run the model:
+
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+tokenizer = AutoTokenizer.from_pretrained("steef68/ATLAS-QUANTUM")
+model = AutoModelForCausalLM.from_pretrained("steef68/ATLAS-QUANTUM", quantization=True)
+
+inputs = tokenizer("Your input text here", return_tensors="pt")
+outputs = model.generate(inputs["input_ids"], max_length=50)
+print(tokenizer.decode(outputs[0]))
+
+
+
+
+---
+
+Notes and Limitations
+
+Runtime Issues: The Hugging Face Space linked to this model has reported runtime errors. If you encounter issues, check your setup and log files.
+
+Documentation: The current documentation is under development. Contributions to improve the model card and repository are encouraged.
+
+
+
+---
+
+Resources
+
+Model Repository: ATLAS-QUANTUM
+
+Hugging Face Space: Atlas-Quantum Space
+
+Documentation: Hugging Face Docs
+
+
+
+---
+
+License
+
+This model is licensed under the Apache 2.0 License. Please review the terms before use.
+
+
+---
+
+Metadata
+
+The metadata block at the top ensures compatibility with Hugging Face's model card requirements. Replace placeholders (like <dataset-name>) with the appropriate information if available.
+
+### Changes Made
+1. **Added YAML Metadata Block:** This includes necessary fields such as `library-name`, `tags`, `license`, `datasets`, `language`, and model-specific information.
+2. **Expanded README Content:** Included an example for loading the model, clarified runtime issues, and improved formatting.
+3. **Placeholders:** Ensure to replace `model-name` and other placeholders with actual details.
+
+