# Joe Bloggs: Open-Weight Models and Datasets
Source: https://savrn.com/model-publishers/user-2468
Markdown alternate of the page above; the site index is https://savrn.com/llms.txt

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## Models

Model · Image to image

### [mini-unet-colorizer](https://savrn.com/models/mini-unet-colorizer)

[Joe Bloggs](https://savrn.com/model-publishers/user-2468)

Status: evaluated app-testing candidate. Some broad color patches and incorrect object hues remain. Predicted colors are not evidence of original historical colors. This checkpoint has 3,968,892 learned parameters and 236 fixed color bins. It starts from the audited bin-mapping repair of main commit 6c47ea40724d8fcd67d4f36ce837dc1cb5b1b2a8 and changes all 65 learned parameter tensors. The color vocabulary is unchanged. The selected weights are update 748 of a completed 1,122-update BF16 L4 run using a 17,325-photo mixed training pool (11,943 Imagenette plus 5,382 COCO), batch 32, initial learning rate 1e-5, weighted classification loss and frozen BatchNorm running statistics. Selection…

Open weights apache-2.0 4M parameters

[View model](https://savrn.com/models/mini-unet-colorizer)

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- [All model publishers](https://savrn.com/model-publishers)
- [The model directory](https://savrn.com/models)
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## Source

- Listed from their public repositories, read 2026-09-28.
- [Hugging Face profile](https://huggingface.co/User-2468)
- [How the hub is built](https://savrn.com/model-hub/methodology)
