PrimeIntellect/Meta-Llama-3-70B-Instruct
Meta Llama 3 70B-Instruct is a 70 billion parameter instruction-tuned generative text model developed by Meta, optimized for dialogue use cases. It utilizes an optimized transformer architecture with Grouped-Query Attention (GQA) and was trained on over 15 trillion tokens of publicly available online data with a knowledge cutoff of December 2023. This model excels in common industry benchmarks, outperforming many open-source chat models, and is aligned with human preferences for helpfulness and safety through supervised fine-tuning and reinforcement learning with human feedback.
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Meta Llama 3 70B-Instruct Overview
Meta Llama 3 70B-Instruct is a powerful 70 billion parameter large language model from Meta, specifically instruction-tuned for dialogue and assistant-like chat applications. It is part of the Llama 3 family, which also includes an 8B parameter variant, and represents a significant advancement over its predecessor, Llama 2.
Key Capabilities and Features
- Optimized for Dialogue: Designed to excel in conversational use cases, outperforming many other open-source chat models on standard industry benchmarks.
- Advanced Architecture: Built on an optimized transformer architecture, incorporating Grouped-Query Attention (GQA) for enhanced inference scalability.
- Extensive Training Data: Pretrained on over 15 trillion tokens of publicly available online data, with the 70B model's knowledge cutoff extending to December 2023.
- Human Alignment: Utilizes supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF) to align with human preferences for helpfulness and safety, significantly reducing false refusals compared to Llama 2.
- Strong Benchmark Performance: Demonstrates superior performance across various benchmarks, including MMLU (82.0), HumanEval (81.7), GSM-8K (93.0), and MATH (50.4) for instruction-tuned models, consistently outperforming Llama 2 70B.
- Text and Code Generation: Capable of generating both text and code outputs.
Intended Use Cases
- Commercial and Research Applications: Suitable for a wide range of commercial and research endeavors in English.
- Assistant-like Chatbots: Primarily intended for building highly capable assistant-like chat applications.
- Natural Language Generation: Pretrained versions can be adapted for diverse natural language generation tasks.
Responsible AI
Meta emphasizes responsible AI development, providing resources like the Responsible Use Guide and tools such as Meta Llama Guard 2 and Code Shield to help developers implement safety best practices. The model has undergone extensive red teaming and adversarial evaluations, with continuous efforts to improve safety and reduce residual risks.
Top 3 parameter combinations used by Featherless users for this model. Click a tab to see each config.