LLM-jp-3 980M Base

LLM-jp-3 980M Base is the 980M 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 20-layer model has hidden width 1,536 and eight attention heads. Pretraining includes Japanese web and archive material, English Dolma sources and code from The Stack.LLM-jp-3 980M Base official model card

Use the size as an experimental control

Practical guidance. Use this checkpoint to examine behavior below the billion-parameter scale. Measure memory and accuracy on the same workload as the 440M model.

Specifications & access

LLM-jp-3 980M Base specifications
DetailValue and conditions
StatusResearch release
AccessDownloadable
Model identifiersllm-jp-3-980m
Context window4,096 tokens

Maximum sequence length stated in the model card.

LLM-jp-3 980M Base official model card
Architecture20 layers; hidden size 1,536; 8 attention heads.LLM-jp-3 980M Base official model card
Parameters989,882,880 total, from the card's embedding and non-embedding counts.LLM-jp-3 980M Base official model card
LicenseApache 2.0; research weights.LLM-jp-3 980M Base official model card

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  • LLM-jp-3 980M Instruct3 is a preference-aligned instruction release with 4,096-token context and Apache 2.0 weights.

    Launch date not confirmedResearch releaseDownloadable