Gpt2 Reuters Text Gen is an open-source language model by eb54. Features: 86.1m LLM, VRAM: 0.3GB, License: mit, LLM Explorer Score: 0.19.
Autotrain compatible Base model:eb54/gpt2-reuters-t... Base model:finetune:eb54/gpt2-... Endpoints compatible Generated from trainer Gpt2 Region:us Safetensors Tensorboard
Model Card on HF 🤗: https://huggingface.co/eb54/gpt2-reuters-text-gen
Gpt2 Reuters Text Gen 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)
Gpt2 Reuters Text Gen Parameters and Internals
| LLM Name | Gpt2 Reuters Text Gen |
| Repository 🤗 | https://huggingface.co/eb54/gpt2-reuters-text-gen |
| Base Model(s) | |
| Model Size | 86.1m |
| Required VRAM | 0.3 GB |
| Updated | 2025-09-23 |
| Maintainer | eb54 |
| Model Type | gpt2 |
| Model Files | |
| Model Architecture | GPT2LMHeadModel |
| License | mit |
| Model Max Length | 1024 |
| Transformers Version | 4.52.4 |
| Tokenizer Class | GPT2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 271 |
| Torch Data Type | float32 |
| Activation Function | gelu_new |
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a