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.
| Platform |  | Pricing | Freemium | Publishes | Twice weekly |
|---|---|---|---|---|---|
| Issues | 486 | Founded | 3 years ago | Last Issue | 6 days ago |
| Active | |||||
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Qwen3.8 Flash Next Reasoning Modes: Off vs Low vs Medium vs Xhigh
Off, low, medium, and xhigh compared in more detail: accuracy, output budgets, and the workloads that benefit from longer reasoning.
Like Qwen3.8 27B, Qwen3.8 Flash Next has three reasoning efforts: low, medium, and xhigh. Thinking can als...
Qwen3.8 Flash Next, Swift 1.5, and MiMo V2.6: What I’m Testing Now
Hi everyone,
In this Weekly Kaitchup, I want to discuss:
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Some updates on what I’m running
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Baguettotron: scaling fully synthetic training
The Kaitchup – AI on a Budget is a reader-supported publication. To receive new posts an...
Qwen3.8 Flash Next GGUF Benchmark: Q4 to Q1 Accuracy and Token Efficiency
12 compressed GGUFs, 42.7 million generated tokens
Quantizing Qwen3.8 Flash Next is almost unavoidable if you want to run it locally. The BF16 original model occupies about 354 GB.
ThinkingCap-Qwen3.8-27B: Less Thinking, Similar Accuracy
Hi everyone,
This week, BottleCap AI released a model I’d been waiting for: ThinkingCap-Qwen3.8-27B. It keeps Qwen3.8 27B’s capabilities as intact as possible, but reduces how many tokens it spends reasoning.
Their previous model based o...
Boosting Agentic Coding with LLM Retries: Lessons from Qwen3.8 27B on DeepSWE
Qwen3.8 27B can reach >90% accuracy on DeepSWE 1.1
A small model can miss a task on its first attempt and still be a useful coding system if trying again is cheap and success can be verified.
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Research scientist in NLP/AI.
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