# Dialogue optimization

A 4B-parameter large language model released by NVIDIA, supporting 128k tokens context length, optimized for reasoning, dialogue, and RAG tasks

This is a hybrid model based on the merging of multiple high-quality models, focusing on Chinese text generation and dialogue tasks.

RombUltima-32B is a fusion model that combines the strengths of Rombos-LLM-V2.5-Qwen-32b and Ultima-32B, optimizing reasoning capabilities, multilingual understanding, and multi-turn dialogue performance.

Llama 3 8B 64K is based on Meta's Llama 3 8B model. The context length is extended from 8k to 64k through PoSE technology, optimizing the language generation ability and making it suitable for various natural language processing scenarios such as dialogue.

An 8B parameter large language model developed by Meta, optimized for dialogue scenarios, balancing practicality and security

Meta Llama 3 series large language model, featuring an 8 billion parameter instruction fine-tuned text generation model optimized for dialogue scenarios.

A causal language model based on Pythia-2.8b, fine-tuned using the Anthropic human preference dataset

A dialogue generation model based on OPT-1.3b, optimized through RLHF training using the DeepSpeed-Chat framework