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• The Kaitchup – AI on a Budget

  Weekly tutorials and news on adapting large language models (LLMs) to your tasks and hardware using the most recent techniques and models. The Kaitchup proposes a collection of 180+ AI notebooks regularly updated.

  11 posts · theirs

Lately

• Qwen3.8 27B and Muse Glimmer Benchmarks: Accuracy, Token Efficiency and Memory Use

  The Kaitchup – AI on a Budget · 2026-08-20

• Qwen3.8 27B, Nemotron 3.5, Muse, DeepSeek V4 Pro: A Huge Week for Open-Weight AI

  The Kaitchup – AI on a Budget · 2026-08-14

• Laguna S 2.1: How Agent Harnesses and Inference Budgets Shape Coding Performance

  The Kaitchup – AI on a Budget · 2026-08-13

• Muse Glimmer: Meta’s 30B Model Built for Efficient Inference

  The Kaitchup – AI on a Budget · 2026-08-11

• Qwen3.8 Is Almost Here — and Agent Benchmarks Are More Fragile Than They Look

  The Kaitchup – AI on a Budget · 2026-08-08

• ThinkingCap-Qwen3.6-27B Review: 2x Fewer Tokens, Same Accuracy?

  The Kaitchup – AI on a Budget · 2026-08-05

• DeepSeek-V4-Flash-0731 and Inkling Small: Smaller, but Better?

  The Kaitchup – AI on a Budget · 2026-07-31

• Bonsai 27B Review: Can a 3.9 GB 1-Bit Model Match Qwen3.6 27B?

  The Kaitchup – AI on a Budget · 2026-07-28

• Agentic AI at Two Different Scales: Nanbeige4.2-3B and Laguna S2.1

  The Kaitchup – AI on a Budget · 2026-07-25

• Qwen3.8: What Hardware Will You Need to Run Alibaba’s 2.4T Model?

  The Kaitchup – AI on a Budget · 2026-07-22

• Inkling, Gemma 4 Updates, and 1-Bit Qwen3.6

  The Kaitchup – AI on a Budget · 2026-07-18

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