Gpt2 Medium is an open-source language model by openai-community. Features: 380m LLM, VRAM: 1.5GB, License: mit, LLM Explorer Score: 0.11.
Gpt2 Medium Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gpt2 Medium Parameters and Internals
Model Type Transformer-based language model
Use Cases
Areas: Research, Commercial applications
Applications: AI research, Writing assistance, Creative content generation
Primary Use Cases: Language understanding and generation
Limitations: May reflect inherent biases from training data., Not suitable for fact-distinguishing tasks., Effects of biases on sensitive use cases.
Considerations: Users must be aware of model limitations and biases.
Additional Notes Significant research into biases and ethical implications.
Supported Languages
Training Details
Data Sources: Web pages from outbound links on Reddit
Data Volume:
Methodology: Causal language modeling (CLM) objective
Context Length:
Model Architecture:
Responsible Ai Considerations
Fairness: Research explores bias and fairness issues, e.g., Sheng et al. (2021) and Bender et al. (2021).
Transparency: Training data not released for browsing, indicating a lack of transparency in data sources.
Accountability: Model may not be suitable for deployment in systems that interact with humans without studying biases first.
Mitigation Strategies: Awareness of biases, caution in use cases sensitive to biases.
Input Output
Input Format:
Accepted Modalities:
Output Format:
Performance Tips: Use seed for reproducibility in text generation.
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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