Japanese Gpt2 Medium is an open-source language model by rinna. Features: 361.3m LLM, VRAM: 1.4GB, License: mit, LLM Explorer Score: 0.03.
Arxiv:2404.01657 Dataset:cc100 Dataset:wikipedia Deploy:azure Endpoints compatible Gpt2 Ja Jax Lm Pytorch Region:us Safetensors Tf
Model Card on HF 🤗: https://huggingface.co/rinna/japanese-gpt2-medium
Japanese 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").
What is the LLM Explorer Rank (Score)
Japanese Gpt2 Medium Parameters and Internals
| LLM Name | Japanese Gpt2 Medium |
| Repository 🤗 | https://huggingface.co/rinna/japanese-gpt2-medium |
| Model Size | 361.3m |
| Required VRAM | 1.4 GB |
| Updated | 2026-05-17 |
| Maintainer | rinna |
| Model Type | gpt2 |
| Model Files | |
| Supported Languages | ja |
| Model Architecture | GPT2LMHeadModel |
| License | mit |
| Transformers Version | 4.8.2 |
| Tokenizer Class | T5Tokenizer |
| Padding Token | [PAD] |
| Vocabulary Size | 32000 |
| Activation Function | gelu_new |
Rank the Japanese Gpt2 Medium Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a