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A Smaller Qwen3.8 Built by Pruning Layers

A Smaller Qwen3.8 Built by Pruning Layers

A community developer created Qwen3.8-23B-Mini-Me by strategically removing layers from Qwen3.8-27B, reducing the model to approximately 22.7B parameters without severe reasoning degradation. The model is reported to work well for coding, agentic tasks, and multi-turn chats, but it has not yet been benchmarked and struggles more with edge cases and underspecified prompts.

Reddit r/LocalLLaMACommunity1d ago#model-pruning#model-compression#apple-silicon
Rapidus Bets on 2nm Without Fighting TSMC

Rapidus Bets on 2nm Without Fighting TSMC

Rapidus is pursuing mass production of advanced 2nm semiconductors through a large-scale Japanese national project. Instead of matching TSMC’s scale, the company plans to compete with RUMS, an integrated one-building production model designed for diverse, lower-volume manufacturing.

ITmedia AI+ (日本)Media4h ago#2nm#semiconductors#chip-manufacturing
AgentCore Automates Cloud Migration

AgentCore Automates Cloud Migration

AWS Professional Services uses a multi-agent framework on Amazon Bedrock AgentCore to automate enterprise cloud migrations end to end. Specialized agents cover discovery, infrastructure-as-code generation, portfolio governance, and post-migration operations, reducing IaC development time from weeks to minutes.

AWS Machine Learning BlogOfficial10h ago#cloud-migration#multi-agent#automation
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