Qwen 3.8 Flash Next Q3 S - Benchmark creation
Mirrored from r/LocalLLaMA for archival readability. Support the source by reading on the original site.
| After running a benchmark test on Exo in Opencode and being amazed by the result, I thought I'd try other models on Opencode. Many were surprisingly terrible. Especially some mid level models. Earlier posts: Today I installed Strata on https://github.com/Niko1221/Strata I connected up my AMD R9700 32gb with 64gb RAM and used the model Qwen3.8-Flash-Next IQ3_S. Admittedly I was expecting terrible results considering it's a small Q3. It acheived 90 tk/s decode approximately 3x compare to 27b. I tried the usual prompt from the other posts, but the output wasn't great. So I tried iterating with a few more prompts in the hope it would improve it. The major leap was when I asked it for a plan, then asked it to build it and when I said "low poly" style but with many polygons. FYI I'd done similar with other models and the result would get worse rather than better. Anyway I thought I'd share the output. Qwen 3.8 Max - https://web.esuyo.com/horse-qwen-3.8-max/ [link] [comments] |
More from r/LocalLLaMA
-
The AI race: China's open-weight models trail US closed models by just 7 months
Oct 14
-
Anthropic Executive Says Open-Source AI Models Are Higher Risk
Oct 14
-
ComfyUI v0.40.0 released
Oct 14
-
So this is how they do it --> RTX 5090, once a consumer gaming card, is now on smugglers’ menu alongside cigarettes
Oct 14
Discussion (0)
Sign in to join the discussion. Free account, 30 seconds — email code or GitHub.
Sign in →No comments yet. Sign in and be the first to say something.