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+--- Thread: tool calling reliability with PyTorch (/showthread.php?tid=1259)
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Re: tool calling reliability with PyTorch - tensorport - 10-19-2026
Quote:I tested this tonight. On B200 with Ollama, I saw basically the same behavior. The main thing that moved was latency, not quality.
Good point. I ended up in about the same place using llama.cpp.
Re: tool calling reliability with PyTorch - quantsupply - 10-19-2026
What worked for me was pretty simple. If you're on LM Studio, I'd confirm the version first and then reduce variables until the behavior is obvious.
Re: tool calling reliability with PyTorch - batchfield55 - 10-19-2026
Quote:What worked for me was pretty simple. If you're on LM Studio, I'd confirm the version first and then reduce variables until the behavior is obvious.
A couple questions before I guess too hard. What model, what runtime, and roughly what context size?
Re: tool calling reliability with PyTorch - llmpeak - 10-19-2026
worth checking the driver first.
Re: tool calling reliability with PyTorch - macropilot - 10-19-2026
Not sure I agree there. The reported numbers can look compelling, but in ordinary usage I didn't see the same benefit.