SourceReddit r/LocalLLaMA•Stalecollected in 16h
Apr 2026 Best Local LLMs Megathread
#open-weights#community-roundup#vram-categorieslocal-llmsqwen3.5gemma4glm-5.1minimax-m2.7prismml-bonsai
💡Top open-weight LLMs like GLM-5.1 beating SOTA—user setups inside
⚡ 30-Second TL;DR
What Changed
Qwen3.5 and Gemma4 series newly released
Why It Matters
Boosts adoption of efficient local LLMs by aggregating real-user insights on hardware and tasks. Helps practitioners select models matching their setups amid rapid open-weight advancements.
What To Do Next
Post your local LLM setup in the r/LocalLLaMA Apr 2026 megathread to get community feedback.
Who should care:Developers & AI Engineers
Key Points
- •Qwen3.5 and Gemma4 series newly released
- •GLM-5.1 achieves state-of-the-art performance
- •Minimax-M2.7 offers accessible high performance
- •PrismML Bonsai 1-bit models proven functional
- •Recommendations by VRAM: Unlimited to <8GB
📰
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Original source: Reddit r/LocalLLaMA ↗
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