LLM-jp-4 8B Instruct

LLM-jp-4 8B Instruct uses supervised fine-tuning without DPO. The card explicitly distinguishes this training from the Thinking models.

Research release

SFT is the material difference

The instruction model shares the 8B architecture and 11.7-trillion-token pretraining pipeline. Its specific release note overrides the generic family discussion of DPO: this model received SFT only.LLM-jp-4 8B Instruct official model card

Compare direct responses with reasoning output

Practical guidance. This is a useful same-size baseline for tasks that do not need a long reasoning response. Compare response quality and formatting against Thinking before assuming that an extra alignment stage helps every task.

Specifications & access

LLM-jp-4 8B Instruct specifications
DetailValue and conditions
StatusResearch release
AccessDownloadable
Model identifiersllm-jp-4-8b-instruct
Context window65,536 tokens

Maximum sequence length stated in the model card.

LLM-jp-4 8B Instruct official model card
Parameters8,590,200,832; dense architecture.LLM-jp-4 8B Instruct official model card
LicenseApache 2.0.LLM-jp-4 8B Instruct official model card
Release roleInstruction checkpoint; also the language-model component of the VL 9B beta.LLM-jp-4 8B Instruct official model cardLLM-jp-4 VL 9B beta official model card

Related models

  • LLM-jp-4 8B Base provides Japanese and English text pretraining weights with a 65,536-token context.

    Launch date not confirmedResearch releaseDownloadable
  • LLM-jp-4 8B Thinking provides Japanese and English text reasoning weights with a 65,536-token context.

    Launch date not confirmedResearch releaseDownloadable
  • The earlier VL 9B release uses the 8B Instruct backbone and dynamic image tiles.

    Launch date not confirmedResearch releaseDownloadable