vasimakram01/dawah_llama2_working_repo
The vasimakram01/dawah_llama2_working_repo is a 7 billion parameter Llama 2 generative text model developed by Meta, fine-tuned for dialogue use cases. This model utilizes an optimized transformer architecture and is specifically converted for the Hugging Face Transformers format. It excels in assistant-like chat applications, outperforming many open-source chat models in benchmarks for helpfulness and safety. The model processes text input and generates text output, making it suitable for various natural language generation tasks.
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Overview
This repository hosts a 7 billion parameter variant of the Llama 2 model, developed by Meta. Llama 2 is a family of large language models (LLMs) ranging from 7B to 70B parameters, with this specific version being fine-tuned for dialogue. The models are built on an optimized transformer architecture and have undergone supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF) to enhance alignment with human preferences for helpfulness and safety.
Key Capabilities
- Dialogue Optimization: Specifically fine-tuned for assistant-like chat applications.
- Performance: Llama-2-Chat models demonstrate strong performance against open-source chat models and are competitive with some closed-source alternatives like ChatGPT and PaLM in human evaluations for helpfulness and safety.
- Text Generation: Capable of generating text from text inputs, suitable for various natural language generation tasks.
- Training Data: Pretrained on 2 trillion tokens from publicly available sources, with fine-tuning data including over one million human-annotated examples.
Intended Use Cases
- Commercial and Research: Designed for use in English-speaking contexts.
- Assistant-like Chat: The fine-tuned versions are optimized for conversational AI.
- Natural Language Generation: Pretrained models can be adapted for a wide array of text generation tasks.