Model Card on HF 🤗: https://huggingface.co/NorseDrunkenSailor/ProtGPT2-with-pad
ProtGPT2 With Pad Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
ProtGPT2 With Pad Parameters and Internals
| LLM Name | ProtGPT2 With Pad |
| Repository 🤗 | https://huggingface.co/NorseDrunkenSailor/ProtGPT2-with-pad |
| Model Size | 774m |
| Required VRAM | 3.1 GB |
| Updated | 2025-06-09 |
| Maintainer | NorseDrunkenSailor |
| Model Type | gpt2 |
| Model Files | |
| Model Architecture | GPT2LMHeadModel |
| Transformers Version | 4.50.2 |
| Tokenizer Class | GPT2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 50257 |
| Torch Data Type | float32 |
| Activation Function | gelu_new |
Best Alternatives to ProtGPT2 With Pad
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Gpt2 Large Sft Imdb | 0K / 1.6 GB | 912 | 0 |
| Gpt2 Large Sft Anthropic Hh | 0K / 1.6 GB | 8 | 0 |
| Gpt2 Large Sft Golden Hh | 0K / 1.6 GB | 6 | 0 |
| Alpaca Refine Gpt2 E1 Se0 | 0K / 3.1 GB | 1081 | 0 |
| Alpaca Tuned Gpt2 | 0K / 3.1 GB | 1080 | 0 |
| Alpaca Spin Gpt2 E0 Se1 | 0K / 3.1 GB | 1082 | 0 |
| Alpaca Spin Gpt2 E1 Se0 | 0K / 3.1 GB | 1066 | 0 |
| Alpaca Refine Gpt2 E0 Se1 | 0K / 3.1 GB | 1071 | 0 |
| Alpaca Spin Tuned Gpt2 Large | 0K / 3.1 GB | 1073 | 0 |
| Alpaca Refine Tuned Gpt2 Large | 0K / 3.1 GB | 1034 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than NorseDrunkenSailor/ProtGPT2-with-pad .
Rank the ProtGPT2 With Pad Capabilities
🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟
What open-source LLMs or SLMs are you in search of? 48046 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124