Independent publisher
Victor Cruz
vcruz305
I love quantizing huge models for the little guys who can’t afford large GPUs!
Models in Library5
Datasets in Library0
Models on Hugging Face45
Followers93
Compare the published evidence
This profile connects the 5 model and dataset records shown below to their upstream cards and sources. The library counts describe SAVRN's coverage, rather than this publisher's entire output.
Published tasks: Image and text to text, Text generation.
Reported licenses: apache-2.0, mit. Open a record to review its specific license and conditions.
Compare model specifications, source dates, and hardware estimates on the individual records. Publisher identity verification is separate from a model's quality, deployment readiness, or suitability for your work.
Models
GGUF quants of Step-5-Preview — a 604B-class sparse MoE (measured 598.04 B parameters across 1,548 tensors), 352 routed experts with top-8 routing, ~16B active, 95 layers (92 text + 3 MTP), 128,896 vocab, 1,048,576 context. This repo is private and is not a general release. The quant packs carry the text trunk — 598.04 B of the checkpoint's 602.97 B parameters. The remaining 4.9325 B ship alongside them as GGUF companion files; see Companion files. They sit outside the packs because llama.cpp's step35 implements no runtime for them, not because they were dropped. One folder per quant type, with the quant type in every file name — the convention unsloth uses, so the Hub and every downstream…