# NaiveAI-Labs/Naive-N0.5-Flash

> An open-weight 309B MoE model (15.5B active) for coding and AI R&D with a native 1M-token context via hybrid SWA–DSA attention. Weights and inference code under MIT, plus API access.

- Magnitude: 4.2 out of 10 — Early signal
- Stars: 78 total · +5 stars today, ≈ 41 by evening
- Star trust: star growth looks organic
- Category: Language models · Language: Python · License: MIT · Created: 2026-09-27 · Last push: 2026-09-27
- GitHub: https://github.com/NaiveAI-Labs/Naive-N0.5-Flash · Homepage: https://naive.ai · Page: https://gitnova.dev/en/r/NaiveAI-Labs/Naive-N0.5-Flash

## Useful for

- Run the model locally for code generation on software engineering tasks
- Process an entire repository within the 1M-token context for refactoring
- Connect the API for agentic tasks in Claude Code or another harness

## Why it’s here

- 5 stars so far today, about 41 expected by the end of the day.
- The spike has held for 2 days in a row — not a one-off blip.
- The repository is 1 day old and already has 78 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this week: #184.

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 3
- Issues and pull requests: 0
- Watchers: 0
- Average over the last week: 58 per day
- Usual pace: too little history (under two weeks)
- Stars in the last hour (measured): 3

## Stars per day, last 2 days (oldest → newest, today is partial)

2026-09-27 … 2026-09-28: 74, 5

## Spotted in now

- Top new repositories this week: #184

## Similar by description

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   Kimi K3 is an open-weight native multimodal agentic MoE language model with 2.8T parameters and a 1M-token context window, understanding text, images and video. It targets long-horizon coding, agentic knowledge work and complex reasoning.
   Full card: https://gitnova.dev/en/r/MoonshotAI/Kimi-K3.md
2. **XingChen-AGI/Xing4.0-29B-A4B** — 0.6 · Steady · Language models · +0 stars today, ≈ 1 by evening
   Xing4.0-29B-A4B is China Telecom's open-source MoE language model with 29B total and 4B active parameters, trained on Ascend NPU and supporting 256K context. It targets coding, agent and reasoning tasks.
   Full card: https://gitnova.dev/en/r/XingChen-AGI/Xing4.0-29B-A4B.md

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Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-09-28 08:02 UTC, updated every 30 minutes.