--- language: en license: other tags: - quantized - nlp - transformers - text-generation pipeline_tag: text-generation --- # Model Card for Quantized Llama3-4x8B-Time-Agents ## Model Description This model is a quantized version of the Llama3-4x8B-Time-Agents, optimized for efficient inference. The model leverages 4-bit precision quantization, substantially enhancing computational efficiency by reducing memory demands and accelerating response times, making it particularly well-suited for deployment in resource-constrained environments. ### Technical Specifications - **Model Type:** Transformer-based Quantized Model - **Quantization Level:** 4-bit (Q4_K_M) - **Architecture:** Retains the transformer architecture optimized for time-sensitive and multi-agent systems. - **Quantization Tool Used:** llamacpp (a custom tool based on llama.cpp for model quantization) - **Performance Impact:** Reduced precision with a moderate impact on accuracy and a significant increase in inference speed. ## Usage This quantized model is ideal for applications requiring fast response times, such as mobile or embedded devices and on-premises servers without dedicated GPU capabilities. ### Quick Start Code for inference will be published soon. ## Limitations and Ethical Considerations - **Bias and Fairness:** This model, like any AI, may carry biases from its training data. It is crucial to evaluate its performance in specific contexts. - **Quantization Effects:** The reduced precision might affect nuanced understanding and generation, particularly in complex scenarios. ## Environmental Impact The model's quantization reduces computational demands, lowering the environmental impact associated with its operation, specifically in terms of energy consumption and carbon footprint. ## Model and Tokenizer Download You can download the quantized model and its tokenizer directly from the Hugging Face Hub: - **Full Model(unq):** [Download link](https://huggingface.co/AIFS/Llama3-4x8B-Time-Agents) - **Tokenizer:** Included in the above link ## Evaluation Results Still under evaluation ## Conclusion This model card introduces the quantized version of the Llama3-4x8B-Time-Agents, providing necessary details to help potential users understand its capabilities and integrate it into their solutions effectively. ## License [Meta LLama 3 Licence](https://llama.meta.com/llama3/license/)