# RLHF Fine-tuning

DMind-1 is a Web3 expert model built upon Qwen3-32B, optimized for the Web3 ecosystem through supervised instruction fine-tuning and human feedback reinforcement learning, achieving significant improvements in task accuracy, content safety, and expert-level interaction alignment.

Llama 3.2 is a collection of 1B and 3B parameter-scale multilingual generative models released by Meta, optimized for dialogue scenarios and supporting various language tasks.

A custom large language model by NVIDIA, designed to enhance the usefulness of responses generated by LLMs to user queries.

This is a Meta-Llama-3-8B-Instruct model fine-tuned on Japanese dialogue datasets, specializing in Japanese conversational tasks.

A causal language model based on the Pythia-6.9b foundation model, fine-tuned using Anthropic's hh-rlhf dataset for supervised training

Llama 2 is a 7-billion-parameter pre-trained generative text model developed by Meta, part of the open-source large language model series

An RLHF fine-tuned Stable Diffusion 2.0 prompt generation model that can automatically expand or generate high-quality image descriptions