RAMP: Reinforcement Adaptive Mixed Precision Quantization for Efficient On Device LLM Inference | ScienceToStartup | ScienceToStartup

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References (24)

[1]

CALM: A CKA-Guided Adaptive Layer-Wise Modularization Framework for LLM Quantization

2025Jinhao Zhang, Yunquan Zhang et al.

[2]

MoQAE: Mixed-Precision Quantization for Long-Context LLM Inference via Mixture of Quantization-Aware Experts

2025Wei Tao, Haocheng Lu et al.

[3]

MixLLM: LLM Quantization with Global Mixed-precision between Output-features and Highly-efficient System Design

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"RAMP optimizes large language model inference on resource-constrained devices through adaptive mixed precision quantization."

LLM Optimization•Score: 6•View PDF ↗

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RAMP: Reinforcement Adaptive Mixed Precision Quantization for Efficient On Device LLM Inference

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References (24)

Founder's Pitch

"RAMP optimizes large language model inference on resource-constrained devices through adaptive mixed precision quantization."

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RAMP: Reinforcement Adaptive Mixed Precision Quantization for Efficient On Device LLM Inference

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References (24)

Founder's Pitch

"RAMP optimizes large language model inference on resource-constrained devices through adaptive mixed precision quantization."

Commercial Viability Breakdown

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