Unverified50% confidenceSolutionExact time
For end-user-facing reply-type models, a maximum token count per sample (e.g., 512) can be set, with the excess truncated or discarded, to suppress the gradient weight of long reasoning samples and let the model learn to complete answers within a limited length.
1
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50%
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Long-term
Relevance
10/13/2026
First Seen
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UnverifiedThe single-response output limit for most large language models is concentrated in the range of several thousand to tens of thousands of tokens.71% similarUnverifiedSome models enable reasoning by default and count reasoning tokens toward max_tokens, meaning max_tokens is the total budget rather than a cap on the response.71% similarUnverifiedIn the control probe, when the 128 token limit was sent nested under the extra_body parameter, the model returned empty responses; after passing max_tokens as a top-level parameter, all 200 responses were produced normally.70% similarUnverifiedReducing model parameters from 70B to 7B lowers both the VRAM required for inference and the per-request computation by approximately one order of magnitude.69% similarUnverifiedThe format line directly determines how often the model shows its reasoning process: "Answer with the number only" led to 37% of responses showing reasoning, the plain version 27%, and the florid version only 8%.68% similar
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