DialoGPT Medium by microsoft

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DialoGPT Medium is an open-source language model by microsoft. Features: LLM, VRAM: 0.9GB, License: mit, LLM Explorer Score: 0.14, Arc: 24.5, HellaSwag: 26.2, MMLU: 25.8.

  Arxiv:1911.00536   Conversational   Deploy:azure   Endpoints compatible   Gpt2   Jax   Pytorch   Region:us   Rust   Tf

DialoGPT Medium Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

DialoGPT Medium Parameters and Internals

Model Type 
Conversational, Dialogue Response Generation
Use Cases 
Areas:
Research, Commercial applications
Applications:
Chatbots, Virtual assistants
Primary Use Cases:
Dialogue generation
Additional Notes 
Human evaluation results indicate high response quality.
Supported Languages 
English (High proficiency)
Training Details 
Data Sources:
Reddit discussion thread
Data Volume:
147M multi-turn dialogues
Methodology:
Pretraining on large-scale dialogue data
Input Output 
Input Format:
User input encoded with tokenizer
Accepted Modalities:
Text
Output Format:
Generated dialogue response
LLM NameDialoGPT Medium
Repository 🤗https://huggingface.co/microsoft/DialoGPT-medium 
Required VRAM0.9 GB
Updated2026-05-31
Maintainermicrosoft
Model Typegpt2
Model Files  0.9 GB
Model ArchitectureGPT2LMHeadModel
Licensemit
Model Max Length1024
Tokenizer ClassGPT2Tokenizer
Vocabulary Size50257
Activation Functiongelu_new
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than microsoft/DialoGPT-medium.

Rank the DialoGPT Medium Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20260328a