Technical
Use fewer threads for CPU inference
How many worker threads should you use for CPU inference? Not all of them.
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How many worker threads should you use for CPU inference? Not all of them.
So how exactly do you make your LLM output a JSON? What happens under the hood? And how do you make it reliable and fast? Diving into constrained sampling.
What extra stuff is needed to properly run a language model? Besides the weights of a language model, what is the gguf metadata that we need to parse and use?