owart
Generates posters based on neural network weights.
Pick an MLX-compatible model and this script will iterate over those weights and do the following:
- Find the global minimum and maximum weight values.
- Normalize weights to [0, 1].
- Trim the upper and lower percentiles to reduce outlier impact.
- Map normalized weights to colors based on intensity.
- Pack weight matrices into a visually appealing layout.
- Render the packed layout into a high-resolution image with a legend and metadata.
Requirements
- Python 3.13+
- MLX on Apple Silicon (for
mlx/mlx-lm)
Dependencies are declared in pyproject.toml.
Usage
Basic:
uvx owart mlx-community/Llama-3.2-1B-Instruct-4bit
Options
--packing {polyomino,maxrects,guillotine,shelf}: packing algorithm (default: polyomino).--polyomino-workers N: parallel search workers for polyomino packing (default: CPU count).--palette {tab20,tab20b,tab20c}: color palette (20 colors).--color-method {blackwhite,opacity}: how intensity maps to color.--shrink N/--scale-method {mean,median,max,sample}: image reduction (shrink auto-computed if omitted).--intensity-method {linear,gamma,smoothstep,sigmoid}: intensity curve (default: smoothstep).--intensity-clip-percent P: clamp top/bottom P percentile before normalization (default: 0.05).--frame-padding N: padding around the visualization.--frame-section-gap N: gap between footer sections.--frame-bottom-padding N: space below the legend.--frame-font-size N: base font size for footer/legend.--frame-line-spacing N: line spacing (default: 0.35 * font size).--frame-bg #RRGGBBorR,G,B: frame background color.--inner-border-width N: border width around the central visual.--inner-border-color #RRGGBBorR,G,B: border color.--no-frame: output just the visualization.
Example
uvx owart mlx-community/Llama-3.2-1B-Instruct-4bit \
--packing polyomino --polyomino-workers 8 \
--palette tab20 --color-method blackwhite \
--intensity-method smoothstep --intensity-clip-percent 0.05 \
--frame-padding 80 --frame-font-size 60 --frame-section-gap 80 \
--frame-bg "#000000" \
--inner-border-width 5 --inner-border-color "#FFFFFF"
Metadata
Release files for owart 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| owart-0.1.0.tar.gz | 56.8 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| owart-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 73.8 kB
Release files / owart-0.1.0.tar.gz
| Download URL | owart-0.1.0.tar.gz |
|---|---|
| Size | 56.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
3faa850923fa009a30359adba0bea7c326ecdcd3c9d5dcbd275b6e9a8d7ed2a8
|
|
BLAKE2b-256 checksum How to use checksums |
bb0a7ee07735650f7dd3bb2c06489d395024297f277a66ce05e2dce7b1f94786
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.9.18 {"installer":{"name":"uv","version":"0.9.18","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}
|
Release files / owart-0.1.0-py3-none-any.whl
| Download URL | owart-0.1.0-py3-none-any.whl |
|---|---|
| Size | 17.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
cd9cd3ac4c09f65b179abc8680c56bf922084d0a284046a81d1b64da3e95202b
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BLAKE2b-256 checksum How to use checksums |
9c418435d3d5ce9f6597c8d362c8adc76b94713e5675cef616a8592dc07562b6
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.9.18 {"installer":{"name":"uv","version":"0.9.18","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}
|
Security for owart 0.1.0
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