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Open Calm Small by cyberagent

By cyberagent · 2214 downloads
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Open Calm Small is an open-source language model by cyberagent. Features: LLM, VRAM: 0.4GB, Context: 2K, License: cc-by-sa-4.0, LLM Explorer Score: 0.08.

  Dataset:cc100   Dataset:mc4   Dataset:wikipedia   Gpt neox   Ja   Japanese   Pytorch   Region:us
Model Card on HF 🤗: https://huggingface.co/cyberagent/open-calm-small 

Open Calm Small Parameters and Internals

Model Type 
Transformer-based Language Model, Causal Language Model
Additional Notes 
OpenCALM is a suite of decoder-only language models pre-trained on Japanese datasets.
Supported Languages 
Japanese (Primary)
Training Details 
Data Sources:
Wikipedia (ja), Common Crawl (ja)
Methodology:
Fine-tuning
Model Architecture:
Decoder-only
Input Output 
Input Format:
Tokenized text input
Accepted Modalities:
text
Output Format:
Generated text output
LLM NameOpen Calm Small
Repository 🤗https://huggingface.co/cyberagent/open-calm-small 
Required VRAM0.4 GB
Updated2026-06-01
Maintainercyberagent
Model Typegpt_neox
Model Files  0.4 GB
Supported Languagesja
Model ArchitectureGPTNeoXForCausalLM
Licensecc-by-sa-4.0
Context Length2048
Model Max Length2048
Transformers Version4.27.0.dev0
Tokenizer ClassGPTNeoXTokenizer
Padding Token<|padding|>
Vocabulary Size52096
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than cyberagent/open-calm-small.