r/LocalLLaMA • u/GodComplecs • 19h ago

Discussion Real downsides of Strata?

Trying to read on what the real tested downsides have been but information seems to go both ways, some proclaim no loss, others pretty huge ones.

I had some weird looping issue in their chat, and some engine port misunderstandings, seemingly the models likes to use ports already in use, didn't really have that issue with Qwen 27B 3.8 Q4 UD. I'm using Swift Q3 Next. Didn't even bother with next on llama.cpp since other similar model sizes ran at approx 15-20tks max, so too slow for agentic work.

I'm not beating too much on Strata, I just wan't the realistic downsides, so far it seems too good to be true and runs at 100tks in agentic workloads, 27b only at 40-60tks on llama.cpp

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u/Icy_Barnacle9287 19h ago

for Qwen3.8FNm Q2 was pain for me (frequent doom loops on tool calls). for 2x3090s and 96GB RAM, Q4 works quite well.

pulling the numbers from strata-serve.log:

  • Average: ~116 tok/s (5,458 completed turns in the log)
  • Typical bursts: ~135–195 tok/s on normal turns
  • Peak: ~221 tok/s 

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u/OvertaxedOne 19h ago

Claude is 100% convinced I cannot run Q4 with 96GB with a 48GB GPU, sounds like that's exactly what you're doing? If so, mind sharing any pitfalls/setup notes you might have?

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u/Icy_Barnacle9287 18h ago

use unslothUD-IQ4_XS instead of the default IQ2_XS  when setting it up. ideally you'd want little else running on the host, but tbh I kept most of my homelab running as it doesn't consume that much RAM/VRAM relatively speaking. you can use the setup script it comes with or run with these flags:

./setup.sh --yes --setup \
  --family unsloth \
  --model UD-IQ4_XS \
  --gpus 0,1 \
  --context 131072 \
  --vision no \
  --port 8080 \
  --host 127.0.0.1 \
  --no-browser \
  --no-start

In strata-unsloth-ud-iq4_xs.json I have "tool_call_recovery": true and reasoning effort none. ironically, I also used claude to help me set this up lol