fix(litellm): raise qwen3.8-27b-local max_tokens floor 4096 -> 16384
Confirmed in llama-server logs: a real request hit exactly n_gen=4096 (the old floor) and returned no answer -- reasoning_content alone ate the whole budget before any content was written, exactly the failure mode this config's own comment predicted. 16384 is the user-chosen middle ground between 8192 and 32768: ~10 min worst-case at ~26.7 t/s, well under the 65536-token context window. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_018WHfjWrSEcGhCoeu6dQfDa
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@@ -13,7 +13,12 @@ model_list:
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# llama.cpp's low default, so the model runs out mid-thought and
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# llama.cpp's low default, so the model runs out mid-thought and
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# content comes back empty. This is a floor, not a cap — any caller
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# content comes back empty. This is a floor, not a cap — any caller
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# that passes its own max_tokens still overrides it.
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# that passes its own max_tokens still overrides it.
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max_tokens: 4096
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# Raised from 4096: confirmed in the wild (llama-server logs) that
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# 4096 wasn't enough — reasoning_content alone ate the whole budget on
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# a real request (n_gen = 4096 exactly, no answer ever written). At
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# ~26.7 t/s and a 65536-token context window, 16384 is a ~10-minute
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# worst case, not the full ~20-minute worst case 32768 would be.
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max_tokens: 16384
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model_info:
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model_info:
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# Shadow cloud-cost estimate — priced against Claude Sonnet 5's published
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# Shadow cloud-cost estimate — priced against Claude Sonnet 5's published
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# rate, not real spend (this proxy only ever routes to the local model).
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# rate, not real spend (this proxy only ever routes to the local model).
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