Model Card on HF 🤗: https://huggingface.co/nikitastheo/GPT-Neo-50m
GPT Neo 50M 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)
GPT Neo 50M Parameters and Internals
| LLM Name | GPT Neo 50M |
| Repository 🤗 | https://huggingface.co/nikitastheo/GPT-Neo-50m |
| Model Size | 50m |
| Required VRAM | 0.2 GB |
| Updated | 2025-09-23 |
| Maintainer | nikitastheo |
| Model Type | gpt_neo |
| Model Files | |
| Model Architecture | GPTNeoForCausalLM |
| Context Length | 512 |
| Model Max Length | 512 |
| Transformers Version | 4.42.3 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 16384 |
| Torch Data Type | float32 |
| Activation Function | gelu_new |
Rank the GPT Neo 50M Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124