locailabs/Jupiter-G-8B

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Jupiter-G-8B

Jupiter-G-8B is a post-trained variant of Google Gemma 4 E4B IT, developed by Locai Labs. The G denotes the Gemma base. Jupiter-G-8B improves instruction following (+1.7 IFEval, +1.0 IFBench) and coding/agentic capability (+3.2 LCB pass@1) while preserving the base model's reasoning and knowledge through our Forget-Me-Not™ framework. This model was trained on 1 H200 GPU using 100% renewable energy.

Benchmarks

We evaluate Jupiter-G-8B against gemma-4-E4B-it.

IFEval and IFBench both reported with prompt strict accuracy. LiveCodeBench v6 reported with pass@1.

Training

Post-Training Data

Jupiter-G-8B is fine-tuned on a curated mixture of five datasets:

Training Configuration

Key Techniques

• —Forget-Me-Not: Synthetic replay data generated by the unmodified base model on UltraChat prompts, preserving existing capabilities during domain-specific fine-tuning.
• —Agentic/terminal training: Curated terminal trajectories from NVIDIA's Nemotron-Terminal-Corpus.
• —Competitive programming: Exercism-derived programming problems from Nemotron corpora to strengthen code generation.

Citation

@misc{locailabs2026jupiterg,
  title   = {Jupiter-G-8B},
  author  = {George Drayson},
  year    = {2026},
  url     = {https://huggingface.co/locailabs/Jupiter-G-8B}
}

Acknowledgements

Jupiter-G-8B builds on Google Gemma 4. Terminal and programming data are sourced from NVIDIA's Nemotron corpora.