RYS (layer duplication in LLMs)

AI

model research

SHOW HN2026

495points
126comments
#53of 4,366 in 2026
Top 2%of 2026 by points

How HN took it

LovedMost comments that take a side are positive

34 positive, 56 neutral or asking, 0 mixed, 1 critical, out of 91 comments about the project. Thread score +0.41.

Idea: 17 for, 1 againstDocs: 3 for, 0 againstPerformance: 1 for, 0 against

The thread, comment by comment

Each row is a top-level comment and its replies, in HN's order. Select a cell to open that comment on HN.

positive neutral or mixed critical about another commenter or something else the maker

What HN said

What people liked

  • Clear, engaging writeup of technical work

    From 2 comments
    • I'm surprised the point/comment ratio is this skewed. There's so much meat in the post to chew on. I like your writing. This was one of those blogs where I can tell you spent a…
      momojo on HN
    • Amazing write up and i wish more people showed the process for discovery which is often even more interesting than the result itself Still the result is really interesting being…
      imranq on HN
  • Replication of results on a different setup

    From 2 comments
    • dude thats sick! i tried it out and it works. theres a couple layers in there that are part of the voidy block that doesnt do much for the selected answer, so i narrowed it down…
      hashmap on HN
    • Glad to see someone replicate the results already :)
      dnhkng on HN

Objections

  • Single-layer duplication does not help and larger blocks degrade results

    From 1 comment
    • Author here. I found that duplicating a specific block of 7 middle layers in Qwen2-72B, without modifying any weights, improved performance across all Open LLM Leaderboard…
      dnhkng on HN

Requests

  • Release of code and analysis scripts

    From 2 comments
    • At some point I will clean up and share the dynamic layer modification code for oobabooga Text-Generation-WebuUI. You can enter the setting, and apply new re-layering…
      dnhkng on HN
    • I build my own analysis tools. I'm just finishing up running the current generation of LLMs (MiniMax M2.5 and the Qwen3.5 family), and then I will put it all on Github. It less…
      dnhkng on HN
  • Try repeating mid-layer blocks more than once

    From 1 comment
    • Did you try repeating the same mid-layer block more than once? If the gain comes from giving the model another pass over its internal representation, I'd expect some sort of…
      BloodAndCode on HN

Questions

  • Why did no one notice that out-of-order layers still work

    From 2 comments
    • I'm surprised the point/comment ratio is this skewed. There's so much meat in the post to chew on. I like your writing. This was one of those blogs where I can tell you spent a…
      momojo on HN
    • The astounding thing about Goliath wasn’t that is was a huge leap in performance, it was that the damn thing functioned at all. To this day, I still don’t understand why this…
      mysteria on HN
  • Could a single layer be trained alone

    From 1 comment
    • I had a dumb question. Does this mean one could train just one layer?
      6510 on HN

Alternatives named

  • SOLAR depth up-scaling (Kim et al., 2023)

    From 1 comment
    • Amazing write up and i wish more people showed the process for discovery which is often even more interesting than the result itself Still the result is really interesting being…
      imranq on HN
  • Recurrent depth latent reasoning (Geiping et al., 2025)

    From 1 comment
    • Amazing write up and i wish more people showed the process for discovery which is often even more interesting than the result itself Still the result is really interesting being…
      imranq on HN

Category, keywords, summaries and labels on this page were made by AI (Thread Reader v2) and not checked by hand. Each point links to the comments it came from.

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