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Llama 3.1 Tulu 3 8B
Overview :
Llama-3.1-Tulu-3-8B is part of the Tülu3 instruction-following model family, designed for a variety of tasks including chat, solving mathematical problems, GSM8K, and IFEval. This model family is renowned for its superior performance and comprehensive guides on fully open-source data, code, and modern post-training techniques. The model is primarily in English and is fine-tuned based on the allenai/Llama-3.1-Tulu-3-8B-DPO model.
Target Users :
This model targets researchers, developers, and educators who can utilize it for natural language processing tasks in research and development, or as a teaching tool in educational settings. Its high performance and user-friendliness make it particularly suitable for scenarios requiring complex language tasks and conversational systems.
Use Cases
Researchers use the Llama-3.1-Tulu-3-8B model for studies in mathematical problem-solving.
Developers utilize the model to create a chatbot for customer service.
Educators integrate the model into teaching platforms to help students understand complex language issues.
Features
? Supports a range of natural language processing tasks: The model is not only suitable for chat but also excels in tasks like mathematical problem solving, GSM8K, and IFEval.
? Open-source data and code: Provides fully open-source data and code for research and educational use.
? High performance: Demonstrates outstanding performance across various benchmarks, such as MMLU, PopQA, and TruthfulQA.
? Easy deployment: Can be easily loaded and deployed via the HuggingFace platform.
? Chat template: Comes with built-in chat templates to facilitate conversational interactions.
? System prompts: Defaults to using Ai2 system prompts, though the model has not been specifically trained for any particular system prompt.
? Security considerations: While the model has received limited security training, it may produce problematic outputs, especially when prompted.
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