Article
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Michael Benayoun
michaelbenayoun
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nanotron/ultrascale-playbook
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deepseek-ai/DeepSeek-R1
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Article
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Introducing Optimum: The Optimization Toolkit for Transformers at Scale
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Papers and resources related to distributed training.
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PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel
Paper • 2304.11277 • Published • 1 -
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
Paper • 1909.08053 • Published • 2 -
Reducing Activation Recomputation in Large Transformer Models
Paper • 2205.05198 • Published -
GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism
Paper • 1811.06965 • Published
models
10
michaelbenayoun/llama-2-tiny-4kv-heads-4layers-random
Text Generation
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5.14k
michaelbenayoun/t5-tiny-random
Text2Text Generation
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1.21k
michaelbenayoun/llama-2-tiny-4kv-heads-2layers-random
Feature Extraction
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12
michaelbenayoun/llama-2-tiny-4kv-heads-8layers-random
Feature Extraction
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113
michaelbenayoun/llama-2-tiny-4kv-heads-16layers-random
Feature Extraction
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3.3k
michaelbenayoun/llama-2-tiny-16layers-random
Feature Extraction
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3.41k
michaelbenayoun/llama-2-tiny-16layers-32kv-heads-random
Feature Extraction
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98
michaelbenayoun/gpt-neox-tiny-4layers-random
Feature Extraction
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99
michaelbenayoun/mistral-tiny-4layers-8kv-heads-random
Text Generation
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145
michaelbenayoun/llama-2-tiny-4layers-random
Text Generation
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100
datasets
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