DialoGPT Small by microsoft

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DialoGPT Small is an open-source language model by microsoft. Features: 175.6m LLM, VRAM: 0.4GB, License: mit, LLM Explorer Score: 0.1, Arc: 25.8, HellaSwag: 25.8, MMLU: 25.8.

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

DialoGPT Small Benchmarks

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

DialoGPT Small Parameters and Internals

Model Type 
conversational, response generation
Use Cases 
Areas:
conversational applications
Applications:
chatbots, dialogue systems
Primary Use Cases:
multiturn conversations
Additional Notes 
Human evaluation results indicate that the response generated from DialoGPT is comparable to human response quality in single-turn conversation.
Training Details 
Data Sources:
Reddit discussion thread
Data Volume:
147M multi-turn dialogue
LLM NameDialoGPT Small
Repository 🤗https://huggingface.co/microsoft/DialoGPT-small 
Model Size175.6m
Required VRAM0.4 GB
Updated2026-04-22
Maintainermicrosoft
Model Typegpt2
Model Files  0.4 GB   0.4 GB
Model ArchitectureGPT2LMHeadModel
Licensemit
Model Max Length1024
Tokenizer ClassGPT2Tokenizer
Vocabulary Size50257
Activation Functiongelu_new
Errorsreplace

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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