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- Model: Qwen3.8-Flash-Next, UD-IQ4_XS (87.3 GiB).
- Capacity: 200k-token context, exactly one conversation at a time. A second waits — politely, but it waits.
- - Best for: long, thoughtful text conversations.
+ - Best for: cybersecurity and debugging tasks. Use requires Frank's permission.
- Not for: images. It cannot see them.
@@ -57,19 +57,20 @@
- Model: Gemma4-12B QAT (Balanced, Q4_K_M, 7.4 GiB).
- Capacity: one million tokens of pooled context across four simultaneous conversations (up to 262k each).
- - Best for: anything with a picture — screenshots, photos, diagrams. Fastest decode of the fleet at long context, and the endpoint that gets most daily traffic.
+ - Best for: the fast, cheap utility model — agentic search, text/audio/image RAG, research subagents, language translation, roleplaying games, summarization, and anything with a picture (screenshots, photos, diagrams). Any small utility task that doesn't require much intelligence.
frank-medium — the 27B generalist
- Model: Qwen3.8-27B-Uncensored, FP8 (~31 GiB).
- Capacity: 262k-token context shared by up to eight conversations at once. It can see pictures too;
frank-small is the faster eye and holds four conversations.
- - Best for: general chat and reasoning when the big brain is busy — and the only seat with eight chairs at once.
+ - Best for: the primary intelligent model — it surpasses Claude Sonnet 5 per Artificial Analysis. Use it for software engineering, system administration, and instruction tasks.
-
+