z-lab / sparselora-svd-estimator

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Introduction of sparselora-svd-estimator

Model Details of sparselora-svd-estimator

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity

This repository contains the pre-computed SVD predictors for all 4 models used in our paper. By default, the required predictors are downloaded to your local machine when you first launch the training script.

We have precomputed the SVD predictors at Rank 8 for the following models, as used in the main paper:

  • "NousResearch/Llama-2-7b-hf"
  • "NousResearch/Llama-2-13b-hf"
  • "NousResearch/Meta-Llama-3-8B-Instruct"
  • "NousResearch/Meta-Llama-3.1-8B"

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sparselora-svd-estimator huggingface.co is an AI model on huggingface.co that provides sparselora-svd-estimator's model effect (), which can be used instantly with this z-lab sparselora-svd-estimator model. huggingface.co supports a free trial of the sparselora-svd-estimator model, and also provides paid use of the sparselora-svd-estimator. Support call sparselora-svd-estimator model through api, including Node.js, Python, http.

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sparselora-svd-estimator is an open source model from GitHub that offers a free installation service, and any user can find sparselora-svd-estimator on GitHub to install. At the same time, huggingface.co provides the effect of sparselora-svd-estimator install, users can directly use sparselora-svd-estimator installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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