SourceStalecollected in 4h

Gemma 4 Replaces Qwen in Local Setup

Read original on Reddit r/LocalLLaMA
#semantic-routing#multi-gpu#model-comparison

Gemma 4 E4B crushes Qwen routing on 3090s—ideal local LLM upgrade

30-Second TL;DR

What Changed

Gemma 4 E4B fixed Qwen 3.5 4B's semantic routing failures, even on greetings.

Why It Matters

Demonstrates Gemma 4's edge in local multi-model orchestration, enabling efficient consumer-grade hardware for production-like AI routing and reducing reliance on cloud services.

What To Do Next

Benchmark Gemma 4 E4B as semantic router against Qwen in your Open-WebUI setup.

Who should care:Developers & AI Engineers

Key Points

  • •Gemma 4 E4B fixed Qwen 3.5 4B's semantic routing failures, even on greetings.
  • •Replaced task-specific Qwen models (30b, 27b, 80b coder, 122b variants).
  • •Improved thinking token efficiency and tool calls in Claude Code Router.
  • •Runs on 2x RTX 3090 + P40 with 128GB RAM via Llama-swap and Open-WebUI.

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Original source: Reddit r/LocalLLaMA ↗

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