LLM-jp-4.1 33B Thinking

LLM-jp-4.1 33B Thinking updates post-training for the 33B architecture. It retains a 65,536-token context and publishes the SFT and model-specific DPO datasets.

Research release

The revision changes post-training

The card specifies SFT and DPO without reinforcement learning. It records 11.7 trillion pretraining and mid-training tokens. Its chat template supports Harmony-style messages, but requires the included tokenizer. Some pretraining material remains unpublished because of licensing limits.LLM-jp-4.1 33B Thinking official model card

Inspect task gains separately

Practical guidance. Review reasoning, instruction following and tool use separately. A single average score can hide changes in the tasks that matter to an application.

GGUF is a distribution of this model

The project also publishes GGUF files. Its reviewed card says llama.cpp needs the project's tokenizer-handling fork; an unmodified upstream build can fail to parse chat messages. These files remain part of the same trained release.LLM-jp-4.1 33B Thinking official GGUF release

Specifications & access

LLM-jp-4.1 33B Thinking specifications
DetailValue and conditions
StatusResearch release
Launch date
AccessDownloadable
Model identifiersllm-jp-4.1-33b-thinkingllm-jp-4.1-33b-thinking-gguf
Context window65,536 tokens

Maximum sequence length stated in the model card.

LLM-jp-4.1 33B Thinking official model card
Parameters33,219,548,160 total parameters.LLM-jp-4.1 33B Thinking official model card
ArchitectureDense; 64 layers, hidden size 5,120.LLM-jp-4.1 33B Thinking official model card
LicenseApache 2.0; research weights, not a provider-operated API.LLM-jp-4.1 33B Thinking official model card

Related models

  • LLM-jp-4 33B Thinking provides Japanese and English text reasoning weights with a 65,536-token context.

    Launch date not confirmedResearch releaseDownloadable