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AbstractPhila PRO

AbstractPhil

19 6 39

https://civitai.com/user/AbstractPhila

AbstractEyes

AI & ML interests

datasets, research papers, experimentation, vision, classification, text encoders, tokenization, llms, diffusion, distillation, and more.

Recent Activity

repliedto their post about 6 hours ago

Due to the licensing issues and changes to Anthropic terms of service, I had to rebuild the core dataset rows with GPT, Deepseek, and Gemini. A week of prep and grappling with dataset logistics later, we have enough candidate rows to do a preliminary train set. Thank you for your patience as I sent the required requests to Anthropic for the original generations from Sonnet 5.5 in conjunction with Opus 5.5 reviewer. The original 1.0 series must be respected as non-commercial, and in this case I'm barring them from the upcoming trainings. There are about 7000 publicly visible and 8900 or so total rows. The new set is around 11500 total prepared from Deepseek flash 4.1, GPT 6.1 Luna, Gemini Argon then Carbon, and GPT Astra med. In comparison to the original Lucia, it was prepared using only around 1900 rows and very little to no regularization. This is meant to be heavily regularized and prepared with many additional rows from multiple sources. We have three series of row sets that MUST be respected, as the original Lucia line is 100% non-commercial usage until the approval or denial from Anthropic. --- For the upcoming trains I will be training two directly different models. The non-commercial variant will have all of the rows, while the apache-2.0 variant will have only the apache friendly prepared rows. One is Lucia, the Apache-2.0 variant. Fair use and structurally viable for use-cases as per the licenses applied from the datasets. This model is meant to be provided as-is. Datasets such as coco 2017 are represented in this set. Any rows requested for takedown will need to be respected and will be moved to the non-commercial set. The other is non-commercial Lucia v1.1. This variant is meant to be used for research only purposes. This has been trained with a wider diversity of rows, specifically sourced from non-commercial complex image sets like DOCCI and Deepfashion. These two model lines will be experimentally built by Thursday.

repliedto their post about 10 hours ago

posted an update about 11 hours ago

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Due to the licensing issues and changes to Anthropic terms of service, I had to rebuild the core dataset rows with GPT, Deepseek, and Gemini. A week of prep and grappling with dataset logistics later, we have enough candidate rows to do a preliminary train set.

Thank you for your patience as I sent the required requests to Anthropic for the original generations from Sonnet 5.5 in conjunction with Opus 5.5 reviewer. The original 1.0 series must be respected as non-commercial, and in this case I'm barring them from the upcoming trainings. There are about 7000 publicly visible and 8900 or so total rows.

The new set is around 11500 total prepared from Deepseek flash 4.1, GPT 6.1 Luna, Gemini Argon then Carbon, and GPT Astra med.

In comparison to the original Lucia, it was prepared using only around 1900 rows and very little to no regularization. This is meant to be heavily regularized and prepared with many additional rows from multiple sources.

We have three series of row sets that MUST be respected, as the original Lucia line is 100% non-commercial usage until the approval or denial from Anthropic.

---
For the upcoming trains I will be training two directly different models. The non-commercial variant will have all of the rows, while the apache-2.0 variant will have only the apache friendly prepared rows.

One is Lucia, the Apache-2.0 variant. Fair use and structurally viable for use-cases as per the licenses applied from the datasets. This model is meant to be provided as-is. Datasets such as coco 2017 are represented in this set. Any rows requested for takedown will need to be respected and will be moved to the non-commercial set.

The other is non-commercial Lucia v1.1. This variant is meant to be used for research only purposes. This has been trained with a wider diversity of rows, specifically sourced from non-commercial complex image sets like DOCCI and Deepfashion.

These two model lines will be experimentally built by Thursday.