LLM-jp-3 13B Instruct3

LLM-jp-3 13B Instruct3 is the 13B preference-aligned instruction release in LLM-jp's generation-3 size series. The underlying model was exposed to 2.1 trillion pretraining tokens.

Research release

Preference data targets helpfulness and safety

Instruct3 applies DPO after supervised fine-tuning. The card names aya-ja-evol-inst for helpfulness and ac-self-inst for safety preferences. The update changes alignment, while retaining the same model size and context length.LLM-jp-3 13B Instruct3 official model card

Review response behavior as well as accuracy

Practical guidance. For the 13B model, check whether preference alignment changes both useful answers and refusals. Larger models in the series cannot establish the behavior of this checkpoint.

Specifications & access

LLM-jp-3 13B Instruct3 specifications
DetailValue and conditions
StatusResearch release
AccessDownloadable
Model identifiersllm-jp-3-13b-instruct3
Context window4,096 tokens

Maximum sequence length stated in the model card.

LLM-jp-3 13B Instruct3 official model card
Architecture40 layers; hidden size 5,120; 40 attention heads.LLM-jp-3 13B Instruct3 official model card
Parameters13,706,931,200 total, from the card's embedding and non-embedding counts.LLM-jp-3 13B Instruct3 official model card
LicenseApache 2.0; research weights.LLM-jp-3 13B Instruct3 official model card

Related models

  • LLM-jp-3 13B Base is a pretrained text model with 4,096-token context and Apache 2.0 weights.

    Launch date not confirmedResearch releaseDownloadable
  • LLM-jp-3 13B Instruct2 is a supervised instruction release with 4,096-token context and Apache 2.0 weights.

    Launch date not confirmedResearch releaseDownloadable