Brain-Bench + Latenz-Metrik (Review P1-9/P1-10)
- Bench-Matrix Qwen3.6 (5 Configs, separater Port): MTP n-max 3 bestaetigt (+26% tg), n-max 4 lohnt nicht, KV Q8_0 gratis (78,6=78,6 t/s) bei halbem KV-Speicher - deploy-Config: -ctk/-ctv q8_0 am hermes-Eintrag (Live-Schaltung: User-Freigabe noetig) - voice.py: chat_first_content-Metrik (echte Hirn-Latenz bis erster Inhalts-Token) - Report um Umsetzungs-Nachtrag ergaenzt Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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@@ -5,7 +5,7 @@ globalTTL: 0
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models:
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Qwen3.6-35B-A3B:
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cmd: |
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llama-server -m /srv/models/Qwen3.6-35B-A3B-MTP-GGUF/Qwen3.6-35B-A3B-UD-Q4_K_M.gguf --host 127.0.0.1 --port ${PORT} -c 65536 -ngl 999 -fa on --no-mmap --jinja --parallel 1 -cram 16384 --spec-type draft-mtp --spec-draft-n-max 3
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llama-server -m /srv/models/Qwen3.6-35B-A3B-MTP-GGUF/Qwen3.6-35B-A3B-UD-Q4_K_M.gguf --host 127.0.0.1 --port ${PORT} -c 65536 -ngl 999 -fa on --no-mmap --jinja --parallel 1 -cram 16384 -ctk q8_0 -ctv q8_0 --spec-type draft-mtp --spec-draft-n-max 3
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ttl: 0
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aliases:
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- hermes
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