LLM-jp-3 440M Base

LLM-jp-3 440M Base is the 440M pretrained text model in LLM-jp's generation-3 size series. The underlying model was exposed to 2.1 trillion pretraining tokens.

Research release

The size changes the architecture

The 16-layer model increases hidden width to 1,024. Pretraining includes Japanese web and archive material, English Dolma sources and code from The Stack.LLM-jp-3 440M Base official model card

Use the size as an experimental control

Practical guidance. This size is useful when the 150M model is too narrow for an adaptation study. Compare task accuracy before increasing generation limits.

Specifications & access

LLM-jp-3 440M Base specifications
DetailValue and conditions
StatusResearch release
AccessDownloadable
Model identifiersllm-jp-3-440m
Context window4,096 tokens

Maximum sequence length stated in the model card.

LLM-jp-3 440M Base official model card
Architecture16 layers; hidden size 1,024; 8 attention heads.LLM-jp-3 440M Base official model card
Parameters447,052,800 total, from the card's embedding and non-embedding counts.LLM-jp-3 440M Base official model card
LicenseApache 2.0; research weights.LLM-jp-3 440M Base official model card

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  • LLM-jp-3 440M Instruct3 is a preference-aligned instruction release with 4,096-token context and Apache 2.0 weights.

    Launch date not confirmedResearch releaseDownloadable