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model-quantization-tool

3.4

by jeremylongshore

141Favorites
138Upvotes
0Downvotes

Model Quantization Tool - Auto-activating skill for ML Deployment. Triggers on: model quantization tool, model quantization tool Part of the ML Deployment skill category.

quantization

3.4

Rating

0

Installs

Machine Learning

Category

Quick Review

This skill is essentially a template with placeholder content that hasn't been customized for model quantization. The description is vague and circular (repeating 'model quantization tool' without explaining what it does), provides no concrete capabilities beyond generic phrases, and contains no actual quantization knowledge (techniques like INT8/FP16 conversion, calibration, post-training quantization, quantization-aware training). The structure is clear but empty of substance. While model quantization could be a valuable skill (reducing model size/latency for deployment), this implementation provides no real value—a CLI agent would learn nothing actionable about quantization techniques, frameworks (TensorRT, ONNX, PyTorch quantization), or implementation steps. It would not reduce token usage or improve outcomes compared to direct LLM queries.

LLM Signals

Description coverage2
Task knowledge1
Structure4
Novelty2

GitHub Signals

1,063
137
8
0
Last commit 2 days ago

Publisher

jeremylongshore

jeremylongshore

Skill Author

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Publisher

jeremylongshore avatar
jeremylongshore

Skill Author

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