LLM-jp-4.1 8B Thinking
LLM-jp-4.1 8B Thinking updates post-training for the 8B 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 Some pretraining material remains unpublished because of licensing limits.LLM-jp-4.1 8B Thinking official model card
Compare the two 8B reasoning releases
Practical guidance. Use identical prompts and decoding settings to compare version 4 and 4.1. A revision can change answer style and tool-call behavior even when the architecture stays fixed.
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 8B Thinking official GGUF release
Specifications & access
| Detail | Value and conditions |
|---|---|
| Status | Research release |
| Launch date | |
| Access | Downloadable |
| Model identifiers | llm-jp-4.1-8b-thinkingllm-jp-4.1-8b-thinking-gguf |
| Context window | 65,536 tokens Maximum sequence length stated in the model card. LLM-jp-4.1 8B Thinking official model card |
| Parameters | 8,590,200,832 total parameters.LLM-jp-4.1 8B Thinking official model card |
| Architecture | Dense; 32 layers, hidden size 4,096.LLM-jp-4.1 8B Thinking official model card |
| License | Apache 2.0; research weights, not a provider-operated API.LLM-jp-4.1 8B Thinking official model card |
Related models
- LLM-jp-4 8B Thinking
LLM-jp / NII LLMC ยท LLM-jp-4
LLM-jp-4 8B Thinking provides Japanese and English text reasoning weights with a 65,536-token context.
Launch date not confirmedResearch releaseDownloadable