@ItsmeAjayKV: Quick update: I tried Ornith-1.0-35B-Q5_K_M on my 3090, and i have mixed feelings. The good: it's really fast. I measur…
Summary
User tests Ornith-1.0-35B on an RTX 3090, finding fast inference speeds (1560 tok/s prompt, 78 tok/s generation) but consistently worse coding performance on Three.js tasks compared to Qwen 3.6, even after multiple attempts.
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Cached at: 06/28/26, 01:54 AM
Quick update:
I tried Ornith-1.0-35B-Q5_K_M on my 3090, and i have mixed feelings.
The good: it’s really fast. I measured around 1,560 tok/s prompt processing (25.8K context) and ~78 tok/s generation, making it noticeably faster than both Qwen 3.6 27B and the 35B MoE models in my setup.
The surprising part: On few of my Three.js coding evals I’ve tested so far, Ornith either failed outright or produced results that were clearly inferior to Qwen 3.6.
I’m attaching a side-by-side recording of just two of the evals across all four models so you can compare the outputs yourself. (I’ll attach more later after i get more time)
One note: for Ornith, I’ve included up to 2–3 attempts where needed because it didn’t produce a working result on the first try for any of the task. Every other model shown is from a single attempt. I haven’t included cases that required more than that.
I’ll keep testing to rule out any issues on my side. I’m downloading the Diff Quant version now and will rerun the same evals before sharing a more complete report.
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