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Public story · 2026-02-20 · source-backed
GitHub | 196B total / 11B active, Apache 2.0
StepFun's sparse MoE activates only 11B of 196B parameters per token, delivering 74.4% SWE-bench, 97.3% AIME 2025, and 100-300 tok/s throughput. Supports INT4 GGUF for local inference. Apache 2.0 licensed. One of the most capable fully open-source agentic models available. Trending on HN with 224 points.
Each link below shares sources, entities, or timing with this story.
Three moves, two days, no coordination between them. August 10–11: GitHub shipped Ollama as a BYOK provider inside Copilot for JetBrains (GitHub Changelog). Unsloth released Unsloth Desktop with a command literally named unsloth start claude, which points Claude Code and Codex...
Qwen released Qwen-AgentWorld-35B-A3B on June 24: 35B total parameters, 3B active in an MoE, 256K context, Apache 2.0. It ships with AgentWorldBench. (GitHub) The idea is the interesting part. It's a "language world model," trained to simulate the environment an agent acts in....
MAI-Code-1-Flash, a 5B-parameter coding model, is in GitHub Copilot and VS Code, and Microsoft says it beats Claude Haiku 4.5 across core coding benchmarks, +16 points on SWE-Bench Pro at 51.2% versus 35.2%, using up to 60% fewer tokens. MAI-Thinking-1, a 35B-active MoE with a...
Google DeepMind released Gemma 4 on April 2 with four model sizes (E2B, E4B, 26B MoE, 31B Dense) under Apache 2.0. Multimodal (text, vision, audio). 256K context. Native thinking and tool-calling optimized for agentic workflows. Day-zero ecosystem support across vLLM, llama.cp...
Google released Gemma 4 on April 2 with four model variants: E2B, E4B, 26B MoE, and 31B Dense. The license change is the first thing worth noting. Every previous Gemma had restrictions that made lawyers nervous. Gemma 4 is Apache 2.0. Full stop. Use it in any product, any way...
- Source: GitHub, Addy Osmani Blog - Stars: Trending (+436 today) - Tech Stack: TypeScript, Puppeteer, MCP; Apache 2.0 Google's official MCP server giving AI agents full Chrome DevTools control — inspect network requests, take screenshots, analyze performance traces, automate...
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