awesome-resource-efficient-llm-papers
github.com/tiingweii-shii/awesome-resource-efficient-llm-papers ↗a curated list of high-quality papers on resource-efficient LLMs 🌱
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22 hours ago
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LLM InferenceResource-Efficiency Evaluation Metrics & Benchmarks
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Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me ⚡️ energy metrics resources from awesome-resource-efficient-llm-papers"
Installation instructions →What's inside
Resource-Efficiency Evaluation Metrics & Benchmarks
- Carbontracker⚡️ Energy Metrics
- CodeCarbon⚡️ Energy Metrics
- experiment-impact-tracker⚡️ Energy Metrics
- LLMCarbon⚡️ Energy Metrics
- ML CO2 Impact⚡️ Energy Metrics
- SustaiNLP 2020Benchmarks
a challenge for development of energy-efficient NLP models by assessing their performance across eight NLU tasks using SuperGLUE metrics and evaluating their energy consumption during inference
LLM Inference
- OneComp: One-Line Revolution for Generative AI Model CompressionModel Compression
- Quantization Error PropagationModel Compression
Showing a sample of 8 resources. View the full list on GitHub →