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  1. Home
  2. /Repositories
  3. /peremartra/Rearchitecting-LLMs
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repoGitHubTrust 82 · PrimaryPublished 4h agoLive · 59m ago

peremartra/Rearchitecting-LLMs

Official code for the Manning book on structural LLM optimization: depth/width pruning, knowledge distillation, and attention optimization, runnable on free Colab GPUs.

Lineage graph

Paper → model → repo connections mined from source citations (Tier-1 exact match).

Related to

tutorialEvaluate a model properly

Covers

newsI shrank a transformer until every number fitted on the screen and made the weights editable [R]newsThe gap between open weights LLMs and closed source LLMsnewsHow're you deploying LLMs in production now-a-days? What's the best and most affordable way? [D]

Covers (incoming)

newsH64LM: A 249M-parameter Mixture-of-Experts Transformer built from scratch in PyTorch [P]

Related across the graph

newsThe gap between open weights LLMs and closed source LLMsnewsHow're you deploying LLMs in production now-a-days? What's the best and most affordable way? [D]newsI shrank a transformer until every number fitted on the screen and made the weights editable [R]newsH64LM: A 249M-parameter Mixture-of-Experts Transformer built from scratch in PyTorch [P]tutorialEvaluate a model properly
Knowledge path·NThe gap between open weights LLMs and closed source LLMs→NHow're you deploying LLMs in production now-a-days? What's the best and most affordable way? [D]→NI shrank a transformer until every number fitted on the screen and made the weights editable [R]→Rperemartra/Rearchitecting-LLMs

Topics

ai-fairnessattention-optimizationfine-tuningknowledge-distilationlarge-language-modelsllmmode-compressionmodel-optimizationqloraquantization

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