GBLM-Pruner
Are gradient information useful for pruning of LLMs?
File Explorer
- data.cpython-39.pyc
- eval.cpython-39.pyc
- layerwrapper.cpython-39.pyc
- prune.cpython-39.pyc
- sparsegpt.cpython-39.pyc
- data.py
- eval.py
- layerwrapper.py
- prune.py
- sparsegpt.py
- gradient_computation.py
- install.md
- LICENSE
- main.py
- MODEL_ZOO.md
- README.md
- run_gblm_prune.sh
- run_grad_compute.sh
- run_mag_prune.sh
- run_sparsegpt_prune.sh
- run_wanda_prune.sh
# Use via CDN
jsDelivrjsDelivr serves any public GitHub repository as a CDN with zero setup. Pick a version and a file to get a ready-to-paste link and snippet.
Link
Example
Command Glossary
Commands referenced in this DOCs, explained below.
python
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python
Python language interpreter.
python
Start a REPL (interactive shell):
python {{path/to/file.py}}
Execute a specific Python file:
python -i {{path/to/file.py}}
Execute a specific Python file and start a REPL:
// repository documentation
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