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id: "/tags/efficiency-quantization/"
title: "Efficiency Quantization"
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url: "https://skillissue.dev/tags/efficiency-quantization/"
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# Efficiency Quantization

[Beginner](/levels/beginner/index.md) [Intermediate](/levels/intermediate/index.md) [Advanced](/levels/advanced/index.md) [Expert](/levels/expert/index.md)

8 resources · page 1 of 1

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### [Liquid AI research](/model-training/training-infrastructure/liquid-ai-research/index.md)

Creator not supplied; see original source.

Liquid AI research page: papers and technical reports on Liquid Foundation Models.

Not applicable (entity) · unknown · unknown resource · en 

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### [MobileCLIP research implementation](/model-training/training-infrastructure/mobileclip-research-implementation/index.md)

Creator not supplied; see original source.

Apple ml-mobileclip GitHub repo: official implementation of MobileCLIP efficient image-text models.

Not applicable (entity) · unknown · unknown resource · en 

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### [SageAttention](/model-training/training-infrastructure/sageattention/index.md)

Creator not supplied; see original source.

Tsinghua SageAttention GitHub repo: quantised low-bit attention kernels for faster inference.

Not applicable (entity) · unknown · unknown resource · en 

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### [Code execution with MCP](/model-training/training-infrastructure/code-execution-with-mcp/index.md)

Creator not supplied; see original source.

Anthropic post on code execution with MCP: agents write code to call tools, reducing token use and context load.

Advanced · unknown · unknown resource · en 

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### [Building an efficient harness for advanced enterprise work (Glean)](/model-training/training-infrastructure/glean-building-an-efficient-harness-for-advanced-enterprise-work/index.md)

Creator not supplied; see original source.

Glean post on its coding-agent harness using code execution, tool-output truncation and progressive disclosure to cut tokens.

Advanced · unknown · unknown resource · en 

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### [PEFT documentation](/model-training/training-infrastructure/peft-documentation/index.md)

Creator not supplied; see original source.

Hugging Face PEFT documentation: parameter-efficient fine-tuning methods such as LoRA, with recipes.

Advanced · unknown · unknown resource · en 

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### [Qiskit Machine Learning](/model-training/training-infrastructure/qiskit-machine-learning/index.md)

Creator not supplied; see original source.

Qiskit Machine Learning documentation: quantum kernels and quantum neural networks for ML experiments.

Advanced · unknown · unknown resource · en 

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### [QLoRA](/model-training/training-infrastructure/qlora/index.md)

Creator not supplied; see original source.

arXiv paper (2023) introducing QLoRA, fine-tuning 4-bit quantized LLMs with low-rank adapters.

Advanced · unknown · unknown resource · en 

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