LLM-jp-4 8B Thinking
LLM-jp-4 8B Thinking adds supervised fine-tuning and direct preference optimization to the corresponding LLM-jp-4 base model.
Research release
Reasoning trained without reinforcement learning
The card specifies SFT followed by DPO, without reinforcement learning. It links the instruction and size-specific preference datasets. Its Harmony-style chat format requires the model's own tokenizer; the openai-harmony tokenizer is not interchangeable.LLM-jp-4 8B Thinking official model card
Measure reasoning output as part of serving
Practical guidance. Reserve output space for reasoning as well as the final answer. The instruction-only 8B release is a useful comparison when a task needs a direct response.
GGUF is a distribution of this model
The project publishes an official GGUF repository for this Thinking release. It is a file-format and quantization distribution of the model, not an additional pretrained model.LLM-jp-4 8B Thinking official GGUF release
Specifications & access
| Detail | Value and conditions |
|---|---|
| Status | Research release |
| Access | Downloadable |
| Model identifiers | llm-jp-4-8b-thinkingllm-jp-4-8b-thinking-gguf |
| Context window | 65,536 tokens Maximum sequence length stated in the model card. LLM-jp-4 8B Thinking official model card |
| Architecture | Dense; 32 layers, hidden size 4,096.LLM-jp-4 8B Thinking official model card |
| Parameters | 8,590,200,832 total parameters.LLM-jp-4 8B Thinking official model card |
| License | Apache 2.0; downloadable research weights.LLM-jp-4 8B Thinking official model card |
Related models
- LLM-jp-4.1 8B Thinking
LLM-jp / NII LLMC · LLM-jp-4.1
LLM-jp-4.1 8B Thinking is a Japanese-English reasoning release with new SFT and preference training.
Launch date Research releaseDownloadable - LLM-jp-4 8B Base
LLM-jp / NII LLMC · LLM-jp-4
LLM-jp-4 8B Base provides Japanese and English text pretraining weights with a 65,536-token context.
Launch date not confirmedResearch releaseDownloadable