AI & Machine Learning
[omh] Making a model smaller or cheaper by changing its weights: quantization (GPTQ, AWQ, GGUF, bitsandbytes, FP8, quantization-aware training), pruning, or distillation into a smaller student, sized to the target hardware, calibrated on the task's own data, and kept only when it holds quality on the person's own eval. Use when the user says: model-compression, model compression, compress this model, compress the model, compress a model, compress our model, compress my model, quantize this model.
Publisher / source
rlaope/oh-my-hermes (found on GitHub top repositories)
Upstream record
Version
Version 1
Published
2026-11-13
Publication review
Approved for publication
Content fingerprint
aa18fc7f6c76f2054040e02b7f79a0e7fafd7c514a6ae31e3e7ff9581d1604bf
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Source: https://prompeteer.ai/skills-hub/7d7fb7a1-b575-4067-9063-09227fc48073