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111 sats \ 2 replies \ @freetx 10h \ parent \ on: Is Chain-of-Thought Reasoning of LLMs a Mirage? AI
I found gpt-oss-20b better than 120b...especially considering the speed difference when trying to run on local hardware. Not sure what they did to 120b, but I didn't get really good results from it.
20b was ok, I even really thought the ansible task I gave it came out quite well. However the "thinking" phase seemed excessive for the final output.
qwen3-235b-a22b-0725
Heard good things about that on the tubes....I'd be interesting to hear what your findings are....I may try to download today and test as well.
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21 sats \ 0 replies \ @optimism OP 9h
re: qwen3. It just did the endless "reasoning" loop:
% cat aborted.txt | sed 's/[\.,]/ /g' | tr " " "\n" | sed 's/\.$//g;s/^$/-----/g' | tr '[:upper:]' '[:lower:]' | grep -v -- "-----" | sort | uniq -c | sort -n
   1 also
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   1 involves
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   1 running
   1 should
   1 test
   1 this
   1 triggers
   1 update
   1 user
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  83 by
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  84 createtoolbar
  84 currently
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 167 been
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 170 a
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 170 articles
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 342 to
 421 and
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 421 in
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 425 refresh
 509 status
1861 the
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22 sats \ 0 replies \ @optimism OP 10h
Not sure what they did to 120b, but I didn't get really good results from it.
I think that it's an attention-span issue, where, if larger context is provided, for example after inspecting a file or even listing a dir, it "forgets" about the tools which are (often) provided at the end of the system prompt. It did do a couple of diffs successfully, but as context window grew it just messed up more and more, even when i soft-capped it at 16k. So yeah... that one needs work.
I'll check out their 20b off some provider later because I'm getting a bit tired from the massive downloads to my cloud inference node only to find out something sucks. Probably cheaper to spend 2k sats on paid api.
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