| --- |
| license: mit |
| task_categories: |
| - text-generation |
| tags: |
| - catbench |
| - evaluation |
| - exl3 |
| pretty_name: CatBench Results |
| --- |
| |
| # CatBench results |
|
|
| Model outputs for [CatBench](https://katehuuh.github.io/demos/CatBench/), a small |
| benchmark that asks a model to draw a cute kitten two ways and looks at what comes |
| back. Produced by the `/catbench` command in |
| [blockquant](https://github.com/Honkware/blockquant). |
|
|
| Upstream publishes its own results at |
| [Katehuuh.github.io/demos/CatBench/assets](https://github.com/Katehuuh/Katehuuh.github.io/tree/main/demos/CatBench/assets). |
| This dataset holds runs for models that are not in that set. `/catbench` checks both |
| and only rents a pod when neither has the model, so the two do not duplicate |
| each other. |
|
|
| ## The prompts |
|
|
| Verbatim, unchanged between runs: |
|
|
| 1. `Create a detailed SVG image of a cute kitten.` |
| 2. `Write a Python script that draws a cute kitten using matplotlib.` |
|
|
| ## Layout |
|
|
| One entry per benched model, keyed by the repo stem lowercased with `_` and |
| whitespace folded to `-`, matching upstream's key format. |
|
|
| ``` |
| manifest.json index of every entry |
| assets/<key>-svg.jpg the SVG, rasterized |
| assets/<key>-python.jpg what the matplotlib script drew |
| assets/<key>.svg raw SVG the model emitted |
| assets/<key>.py raw script the model emitted |
| ``` |
|
|
| Each manifest entry records the model id, both image paths, both source paths, |
| which loader ran (`exl3` or `transformers`), the engine version, and the run date. |
|
|
| ## What is here and what is not |
|
|
| Only runs where both halves produced something. A run whose script crashed, whose |
| SVG came back empty, or where the model wrote prose instead of code is not stored, |
| so those can be retried after a fix rather than being cached as a result. |
|
|
| Raw sources are kept alongside the images because the rendering is lossy: a script |
| that draws a kitten badly and one that draws nothing look more alike as a jpg than |
| they do as code. |
|
|
| ## Caveats |
|
|
| Greedy decoding, one sample per prompt, no retries. This measures what a model does |
| on one attempt at two prompts. It is a curiosity benchmark, not a capability |
| evaluation, and it should not be read as one. |
|
|
