Summary
A user on r/LocalLLaMA reported surprising benchmark results, finding that the older Qwen3-code-next model is outperforming the newer Qwen3.5-35B-A3b in tool calling. This was observed using the Continue extension in VS Code, with the older model succeeding despite more aggressive quantization. The finding challenges the assumption that newer models are always superior, especially for specific tasks.
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Explore related coverage about community news and adjacent AI developments: [r/ML] [D] MYTHOS-INVERSION STRUCTURAL AUDIT, [r/LocalLLaMA] karpathy / autoresearch, [r/ML] KIV: 1M token context window on a RTX 4070 (12GB VRAM), no retraining, drop-in HuggingFace cache replacement - Works with any model that uses DynamicCache [P], [r/ML] LLMs learn backwards, and the scaling hypothesis is bounded. [D].
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[r/ML] [D] MYTHOS-INVERSION STRUCTURAL AUDIT
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