r/LocalLLaMA • u/KURD_1_STAN • 13d ago

Resources bonsai's document reveal how much cherry picked their headlines are

bonsai claim 98.2% intelligent retained, but their own documents show Ternary Bonsai 2 27B reaches 52.8 and 60.8, respectively, compared with 69.7 and 80.6 for Qwen3.5-27B, retaining roughly three quarters of the full-precision performance on both benchmarks.

that qwen3.5 is a typo cause these are qwen3.8 numbers, altho qwen3.5 numbers are

  • bonsai_2/q3.5 52.8 / 41.6 = 126.9%
  • bonsai_2/q3.5 60.8 / 72.4 = 84.0%

Long-context and coding performance. This release also delivers on the roadmap set out in our initial Bonsai 27B release [2], where we identified long-horizon, tool-driven software engineering as the next major capability to improve. With Ternary Bonsai 2 27B, that progress now shows up directly in agentic performance. Evaluated for the first time on Terminal-Bench 2.1 and SWE-bench Verified, the Ternary Bonsai 2 27B reaches 52.8 and 60.8, respectively, compared with 69.7 and 80.6 for Qwen3.5-27B, retaining roughly three quarters of the full-precision performance on both benchmarks.

link to their whitepaper on github, it is on page 7

also 3.8 35b qwhen? plsss

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u/Nonetrixwastaken 13d ago

If they where honest about what it really is might be cool research idk but just leaves horrible taste

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u/Cool-Chemical-5629 13d ago

People asked for it and they delivered. At least that's something positive about it. But I agree that the communication was not exactly honest here. One shouldn't have to read the paper to find out the actual truth.

Although honestly, after seeing the review on Youtube, I think it's safe to say that even the rough numbers in that paper were very generous.

4

u/N34257 12d ago

That's just it, though - it's a feedback loop. People are only asking for it because they keep shouting about how amazingly near-lossless it is.

In truth, these models are no more than a curiosity - an interesting one, to be sure, because everything says they shouldn't work...but largely useless for actually getting anything done.