# Multi-turn dialogue generation

INTELLECT 2 is a large language model launched by PrimeIntellect, supporting a context length of 40960 tokens, trained using the QwQ architecture and GRPO reinforcement learning framework.

This is an approximate implementation version of the ServiceNow-AI's Apriel-5B-Instruct model converted to Llama format, compatible with mainstream fine-tuning frameworks for easier operation.

A Turkish language model based on ytu-ce-cosmos/turkish-gpt2-medium, fine-tuned with a 35,000-instruction dataset, suitable for various text generation tasks

A Turkish instruction fine-tuned language model based on ytu-ce-cosmos/turkish-gpt2-large, fine-tuned with a dataset of 35,000 instructions

Korean vocabulary expanded version based on SOLAR-10.7B-v1.0, a large language model fine-tuned with DPO

A 7-billion-parameter decoder-based Japanese instruction fine-tuned language model suitable for generative tasks

FastChat-T5 is an open-source chatbot fine-tuned based on Flan-t5-xl, featuring an encoder-decoder architecture that supports autoregressive dialogue response generation.

An English supervised fine-tuned model based on the Pythia 12B architecture, trained with human feedback data from the Open-Assistant project, focusing on dialogue generation tasks.

A generative model supporting Russian casual conversation and common sense reasoning, based on GPT-2 architecture

This model is a high-performance open-domain chatbot capable of integrating multiple dialogue skills such as questioning, answering, knowledge demonstration, and empathy.

DialoGPT is a cutting-edge large-scale pre-trained dialogue response generation model for multi-turn conversations, capable of producing responses in single-turn Turing tests that are comparable to human answers.

DialoGPT is a dialogue generation model based on GPT-2 developed by Microsoft. The Medium JAB version is a variant with a moderate parameter scale, suitable for generating coherent and contextually relevant dialogue responses.

DialoGPT is a state-of-the-art large-scale pre-trained multi-turn dialogue response generation model. In the single-turn dialogue Turing test, the quality of its generated responses can be comparable to that of human responses.

DialoGPT is a large-scale pre-trained dialogue response generation model for multi-turn conversations, performing on par with humans in single-turn Turing tests.

This is an open-domain dialogue system based on large-scale neural networks, capable of conducting multi-turn natural conversations and integrating various dialogue skills.