G9v3-39A5B Released: Agentic Heavy MoE Model Targeting Low Hallucination
axseem · reddit · 2026-08-04
The developer has released G9v3-39A5B, a new 39A5B parameter model designed specifically for agentic use cases with a focus on minimizing hallucinations.
- Architecture: Utilizes a heavy MoE (Mixture of Experts) architecture to balance general work performance.
- Evaluation: Demonstrates an extremely low hallucination rate on Artificial Analysis. The creator notes it hits a sweet spot for general tasks, with coding being the only area inferior to Qwen models.
- Availability: Model weights are available on Hugging Face.
Related event: G9v3-39A5B Released: Low-Hallucination MoE for Agentic Tasks(2 posts)→
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