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Qwen3.8-27B has become unuseable recently

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Based on a feed excerpt; full article content has not been acquired. Source evidence retrieved 05/11/2026, 11:47:26 UTC.

Briefings

A user reported that Qwen3.8-27B quantized for Llama.cpp became unstable after initial success, failing basic tasks and losing instructions. The user suspects intentional nerfing or lazy behavior by the quantization process, demanding refunds. The evidence is a single Reddit post from November 2026 describing a specific hardware setup (RTX 4090, llama.cpp) and a timeline of performance degradation.

Key points

• Qwen3.8-27B quantized for Llama.cpp experienced a sudden performance regression where it failed basic tasks and lost instructions.
• The user suspects the quantization process intentionally nerfed the model or made it lazy, leading to a demand for refunds.

Context

The finding matters as it highlights a potential quality degradation in quantized versions of Qwen3.8-27B, specifically affecting Llama.cpp compatibility. It suggests a discrepancy between the model's original performance and its current state, which could impact users relying on the quantized version for production or testing.

Limitations

Evidence is limited to a single Reddit post from November 2026. The specific hardware (RTX 4090) and software (llama.cpp) used are not universally applicable. The user's claim of intentional nerfing is unverified and subjective, as no official statements from the developers are provided.

Generated by Bittrees-hosted qwen35-2b sha256:aaf42c8b7c3c on 05/11/2026, 13:05:12 UTC. Based on publisher-provided feed evidence; may not cover the full original article. Check the source for details.

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