Qwen3.5 local runs hit llama.cpp gibberish bug

// 96d agoINFRASTRUCTURE

Qwen3.5 local runs hit llama.cpp gibberish bug

A LocalLLaMA user reports that Qwen3.5-9B and 27B GGUF quants produce gibberish from first prompt on Windows with llama.cpp b8204, while a smaller Linux CPU setup can run at least one 9B quant correctly. The thread points to a broader community pattern of unstable outputs in early Qwen3.5 local deployments, suggesting runtime/config compatibility issues rather than a simple prompt-quality problem.

// ANALYSIS

This looks less like “bad model quality” and more like ecosystem friction right after a fast model rollout.

–The failure reproducing across multiple Qwen3.5 sizes on one machine, but not another, is a classic signal of backend/runtime mismatch.
–Similar same-week reports in LocalLLaMA suggest a cluster of inference-stack issues (context handling, templates, or quant/runtime interactions).
–Existing older models working on the same Windows box narrows suspicion to Qwen3.5-specific serving behavior rather than general hardware instability.
–For AI developers, the practical takeaway is to treat first-week local model releases as integration events, not just model swaps.

// TAGS

qwen3.5llminferencellama.cpplocal-inferencequantization

DISCOVERED

96d ago

2026-03-05

PUBLISHED

96d ago

2026-03-05

RELEVANCE

8/ 10

AUTHOR

jpbras

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