Author here. Quick context the post doesn't quite spell out:
The tool_choice="auto" failure on Qwen3-Next isn't a parser issue — the model
reasons inside <think>, decides, and never emits the tool call. No error, just
empty tool_calls. The fix was swapping the backbone from Thinking to Instruct,
not tuning any parser flag.
The "load the bigger model first, size the smaller against actual residency"
playbook generalizes to anything with shared CUDA framework overhead. The ~5 GiB
framework floor shows up even at small gpu_memory_utilization values — plan
against actuals, not targets.
The tool_choice="auto" failure on Qwen3-Next isn't a parser issue — the model reasons inside <think>, decides, and never emits the tool call. No error, just empty tool_calls. The fix was swapping the backbone from Thinking to Instruct, not tuning any parser flag.
The "load the bigger model first, size the smaller against actual residency" playbook generalizes to anything with shared CUDA framework overhead. The ~5 GiB framework floor shows up even at small gpu_memory_utilization values — plan against actuals, not targets.