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Naive-N0.5-Flash

Naive-N0.5-Flash is an open-weight 309B MoE model with 15.5B active parameters, built for coding and AI R&D.

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GITHUB · launched Sep 27, 2026 · 142 upvotes (top 6%) · 0 views

Niche: large language models · 191 launches, 4 in the last 7 days ▼ -33% · Explore this niche →

Category and tags

  • Horizontal
  • Model & infra
  • Developer
  • AI-native
  • Commercial product

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Could you build this?

No Training a 309-billion parameter Mixture-of-Experts (MoE) LLM requires millions of dollars in compute, specialized distributed training infrastructure, massive curated datasets, and deep machine learning research expertise.

What it would actually take: Training a 309B MoE model requires clusters of hundreds or thousands of high-end GPUs (e.g., H100s), frameworks like Megatron-LM or DeepSpeed, and specialized expertise in 3D parallelism (tensor, pipeline, and expert parallelism). The hard parts are compute resource management, stability at scale, custom synthetic dataset generation for coding, and routing optimization. A team of elite ML research engineers and massive cloud compute budgets are essential.

Competitors

Other products that read as similar to this one : 64 launches clear the similarity bar, closest 8 shown.

Attention rank: #10 of 65 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 195 days after the earliest competitor.

The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.