nn-chisel
Skill-targeted pruning toolkit for neural networks.
This 0.0.0 release is a placeholder — it reserves the name on PyPI
while the real package is in development. Source lives at
https://github.com/arki05/chisel; the first functional release will be
0.1.0.
What it's going to be
A small library for pruning large language models in a skill-targeted way — calibrate the pruner on data representative of one capability and measure how cleanly the resulting model preserves that capability versus others. Includes SparseGPT- and Wanda-family methods with a composable metric / corrector design.
Metadata
Release files for nn-chisel 0.0.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| nn_chisel-0.0.0.tar.gz | 1.4 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| nn_chisel-0.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 3.4 kB
Release files / nn_chisel-0.0.0.tar.gz
| Download URL | nn_chisel-0.0.0.tar.gz |
|---|---|
| Size | 1.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / nn_chisel-0.0.0-py3-none-any.whl
| Download URL | nn_chisel-0.0.0-py3-none-any.whl |
|---|---|
| Size | 2.1 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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uv/0.11.14 {"installer":{"name":"uv","version":"0.11.14","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"macOS","version":null,"id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}
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