AI Models
Naive-N0.5-Flash
Open-weight 309B MoE model for coding and AI R&D with 1M context
Open sourceRuns on your device
Pricing
Open Source
Free (Open Weights)
Platforms
macOS - Windows - Linux
Self-hosted or local
Category
AI Models
22 tools
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Last updated
Sep 29
Listing updated
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High-throughput coding agent execution
Power autonomous agent loops with up to 2,000 tokens/sec generation speed for real-time refactoring and code generation.
Pricing checked Sep 2026
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About Naive-N0.5-Flash
Naive-N0.5-Flash is a 309B parameter Mixture-of-Experts (MoE) model developed by Naive AI specifically for software engineering, code synthesis, and autonomous research workflows. Built with an architecture that reaches 2,000 tokens per second on specialized hardware, it combines high throughput with a native 1M token context window.
The model weights are openly accessible on Hugging Face, allowing enterprise teams and independent researchers to deploy them in private environments or run inference via Naive's managed cloud platform.
- Extremely high inference throughput reaching up to 2,000 tokens/sec
- Generous 1M token native context window for complex codebases
- Open-weight distribution on Hugging Face with no vendor lock-in
- Large 309B MoE footprint requires significant multi-GPU compute for local hosting
- Specialized architecture requires modern inference runtime configurations
huggingface-cli download NaiveAI/Naive-N0.5-FlashOpen-weight 309B MoE model. Weights are distributed via Hugging Face for local or private cloud deployment.
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