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BitsAndBytes

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18:30
2026-07-15
hello-fri-end.github.io
machine-learning

Early Breakthroughs in Transformer Quantization

Tim Dettmers et al. in their 2022 LLM.int8() paper found that large outlier features emerge across all transformer layers as models scale, causing naive INT8 quantization to break down. They introduce…

07:14
2026-05-20
dev.to
large-language-models

I Thought Fine-Tuning LLMs Needed Expensive GPUs. I Was Wrong.

The author successfully fine-tuned a 1.1 billion parameter TinyLlama model using QLoRA on consumer hardware, training only 0.2% of the model's parameters via low-rank adapter matrices. The project inv…

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