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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/LocalLLaMACommunity23h ago#model-pruning#model-compression#apple-silicon
Rebuilding Sales with FDE Agents

Rebuilding Sales with FDE Agents

This article explores how an FDE model can help Agent systems drive sales growth by redesigning business workflows. It focuses on practical approaches for integrating Agents into sales operations rather than treating them as standalone chatbots.

InfoQ中国Media1d ago#sales-automation
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