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Michael Benayoun
michaelbenayoun
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Articles 2
Article
2
Introducing Optimum: The Optimization Toolkit for Transformers at Scale
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
Papers and resources related to distributed training.
-
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
16
michaelbenayoun/deepseekv3-tiny-4kv-heads-4-layers-random
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michaelbenayoun/granite-tiny-4kv-heads-4layers-random
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3.16k
michaelbenayoun/qwen3-tiny-4kv-heads-4layers-random
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3.15k
michaelbenayoun/qwen3-tiny-4kv-heads-8layers-random
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michaelbenayoun/lora-qkv-included-llama-2-tiny-4kv-heads-4layers-random
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michaelbenayoun/lora-2-qkv-included-llama-2-tiny-4kv-heads-4layers-random
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michaelbenayoun/llama-2-tiny-4kv-heads-4layers-random
Text Generation
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81.4k
michaelbenayoun/llama-2-tiny-4kv-heads-16layers-random
Text Generation
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michaelbenayoun/t5-tiny-random
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michaelbenayoun/llama-2-tiny-4kv-heads-2layers-random
Feature Extraction
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datasets
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