We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Hi, thanks for your outstanding work.
I am trying to reproduce the result of Table 2, especially the Wanda w. DSnoT of LLaMA-V1-7B under the 70% sparsity.
Here is my command:
CUDA_VISIBLE_DEVICES=0,1,2,3 python main.py \ --model decapoda-research/llama-7b-hf \ --prune_method DSnoT \ --initial_method wanda \ --sparsity_ratio 0.7 \ --sparsity_type unstructured \ --max_cycle_time 50 \ --update_threshold 0.1 \ --pow_of_var_regrowing 1
The perplexity is 72.9418335, while the reported perplexity is 62.05.
Can you release the command to reproduce the result?
The text was updated successfully, but these errors were encountered:
No branches or pull requests
Hi, thanks for your outstanding work.
I am trying to reproduce the result of Table 2, especially the Wanda w. DSnoT of LLaMA-V1-7B under the 70% sparsity.
Here is my command:
CUDA_VISIBLE_DEVICES=0,1,2,3 python main.py \ --model decapoda-research/llama-7b-hf \ --prune_method DSnoT \ --initial_method wanda \ --sparsity_ratio 0.7 \ --sparsity_type unstructured \ --max_cycle_time 50 \ --update_threshold 0.1 \ --pow_of_var_regrowing 1
The perplexity is 72.9418335, while the reported perplexity is 62.05.
Can you release the command to reproduce the result?
The text was updated successfully, but these errors were encountered: