Heretic 1.3 released: Reproducible models, integrated benchmarking system, reduced peak VRAM usage, broader model support, and more

Dear fellow Llamas, it is my distinct pleasure to announce the immediate availability of version 1.3 of **Heretic** (https://github.com/p-e-w/heretic), the leading software for removing censorship from language models. This was a long and eventful release cycle, during which Heretic became a high-profile open source project with 20,000 GitHub stars and more than 13 million total model downloads (not counting the models from a certain "competitor" who was recently found to have been using a plagiarized fork of Heretic under the hood). The topic of model decensoring has exploded in popularity, with many clones and forks popping up, some of them clouding their techniques in mystique, technical jargon, or tens of thousands of lines of LLM-written junk code. I am happy to say that Heretic is moving in the exact opposite direction. Instead of making it more difficult to understand what is going on, the new release makes it easier and more transparent. The headline feature in Heretic 1.3 is **reproducible runs**. This was a much more difficult problem to solve than it might appear to be at first glance, because the results of tensor operations can depend on the PyTorch version, the GPU, the driver, the accelerator library, and whether Saturn is Ascendant or not. This means that in order to ensure reproducibility, *all* of that information must be collected and preserved. This mammoth task was taken up by long-time contributor Vinay-Umrethe, who wrote the majority of the code in th