- 🤗 Machine Learning Intern at @HuggingFace. Working on
optimum-benchmark
; an open source library aiming to create a benchmarking utility for any model on HuggingFace's Hub supporting Optimum's inference & training, optimizations & quantizations, on different backends & hardwares (OnnxRuntime, Intel Neural Compressor, OpenVINO, Habana Gaudi Processor (HPU), etc).
🤖
automating
ML Engineer interested in ML Optimization, Quantization, GenerativeAI, DocumentAI, ...
- Paris, France
- ilyasmoutawwakil.github.io
- in/ilyas-moutawwakil
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huggingface/optimum-benchmark
huggingface/optimum-benchmark PublicA unified multi-backend utility for benchmarking Transformers, Timm, Diffusers and Sentence-Transformers with full support of Optimum's hardware optimizations & quantization schemes.
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casper-hansen/AutoAWQ
casper-hansen/AutoAWQ PublicAutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference. Documentation:
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geohash-on-steroids
geohash-on-steroids PublicI'm making this repo for geohashing enthusiasts who want to encode and decode geohashes in the most python-optimized way. It's now part of the Pygeohash package yay!
Jupyter Notebook 3
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