allenai/tulu-v2.5-ppo-13b-uf-mean

Overview

allenai/tulu-v2.5-ppo-13b-uf-mean is a 13 billion parameter language model from AllenAI, built upon the meta-llama/Llama-2-13b-hf base model. It is a member of the Tulu V2.5 suite, which focuses on creating helpful assistant models through advanced alignment techniques. This specific iteration was trained using Proximal Policy Optimization (PPO), leveraging the UltraFeedback dataset. A key aspect of its training involved using per-aspect/fine-grained scores from UltraFeedback to guide the preference learning process, aiming for more nuanced and aligned responses.

Key Capabilities

• Helpful Assistant: Designed to act as a conversational assistant, providing informative and relevant responses.
• PPO Alignment: Utilizes PPO with a 13B reward model trained on UltraFeedback data for enhanced alignment.
• Preference Learning: Incorporates fine-grained aspect scores from UltraFeedback to refine its understanding of preferred responses.
• Standard Chat Format: Optimized for a specific input format (<|user|> Your message here! <|assistant|> ) for best generation quality.

Intended Uses & Limitations

This model is suitable for applications requiring a helpful, instruction-following chatbot. It was initially fine-tuned on a diverse mix of human-created instructions and synthetic dialogues. However, it's important to note that the Tulu models, including this one, have not been explicitly aligned for safety within the RLHF phase or deployed with in-the-loop filtering. Therefore, it may produce problematic outputs if prompted to do so. Users should implement their own safety measures when deploying this model.