Model Card for Model ID
The Llama 3.2 collection of multilingual large language models (LLMs) is a collection of pretrained and instruction-tuned generative models in 1B and 3B sizes (text in/text out). The Llama 3.2 instruction-tuned text only models are optimized for multilingual dialogue use cases, including agentic retrieval and summarization tasks. They outperform many of the available open source and closed chat models on common industry benchmarks. This is a version of the model that has undergone Direct Preference Optimization (DPO) training using the ultrafeedback dataset.
Model Details
Model Description
- Developed by: Treasure Mayowa
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- Finetuned from model [optional]: Llama 3.2 Instruct
Uses
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Bias, Risks, and Limitations
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Recommendations
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Training Details
Training Data
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Training Procedure
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Evaluation
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Results
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Summary
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Environmental Impact
Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
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Technical Specifications [optional]
Model Architecture and Objective
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Framework versions
- PEFT 0.14.0