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--- |
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language: en |
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license: other |
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tags: |
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- quantized |
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- nlp |
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- transformers |
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- text-generation |
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pipeline_tag: text-generation |
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--- |
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# Model Card for Quantized Llama3-4x8B-Time-Agents |
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## Model Description |
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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. |
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### Technical Specifications |
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- **Model Type:** Transformer-based Quantized Model |
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- **Quantization Level:** 4-bit (Q4_K_M) |
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- **Architecture:** Retains the transformer architecture optimized for time-sensitive and multi-agent systems. |
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- **Quantization Tool Used:** llamacpp (a custom tool based on llama.cpp for model quantization) |
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- **Performance Impact:** Reduced precision with a moderate impact on accuracy and a significant increase in inference speed. |
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## Usage |
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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. |
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### Quick Start |
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Code for inference will be published soon. |
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## Limitations and Ethical Considerations |
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- **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. |
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- **Quantization Effects:** The reduced precision might affect nuanced understanding and generation, particularly in complex scenarios. |
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## Environmental Impact |
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The model's quantization reduces computational demands, lowering the environmental impact associated with its operation, specifically in terms of energy consumption and carbon footprint. |
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## Model and Tokenizer Download |
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You can download the quantized model and its tokenizer directly from the Hugging Face Hub: |
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- **Full Model(unq):** [Download link](https://huggingface.co/AIFS/Llama3-4x8B-Time-Agents) |
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- **Tokenizer:** Included in the above link |
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## Evaluation Results |
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Still under evaluation |
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## Conclusion |
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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. |
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## License |
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[Meta LLama 3 Licence](https://llama.meta.com/llama3/license/) |
