# Rodrigo Ramos Da Silveira: Open-Weight Models and Datasets
Source: https://savrn.com/model-publishers/rodrigoramosrs
Markdown alternate of the page above; the site index is https://savrn.com/llms.txt

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## Models

Model · Text generation

### [veriloop-coder-e2-nvfp4](https://savrn.com/models/veriloop-coder-e2-nvfp4)

[Rodrigo Ramos Da Silveira](https://savrn.com/model-publishers/rodrigoramosrs)

Apache-2.0 This repository contains an NVFP4 quantization of VeriLoop E2, an open 27B post-trained model built on Qwen3.8-27B for code, mathematics, and physics. Its core reasoning discipline is VeriLoop-Governed Recurrence (VGR): candidate states are recursively proposed, externally checked, and retained only when the protected evidence state improves without regression. Quantized by Rodrigo Ramos. Produced with NVIDIA Model Optimizer using the canonical NVFP4W4A4WEIGHTLOCALHESSIANCFG recipe: static per-block 4-bit weights (group size 16) + dynamic 4-bit activations, FP8 attention, local-Hessian calibration with MSE and fp8 scale sweep. The linearattn (Gated Delta Net) blocks and the…

Open weights apache-2.0 18.3B parameters 262,144 tokens transformers

[View model](https://savrn.com/models/veriloop-coder-e2-nvfp4)

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## Source

- Listed from their public repositories, read 2026-09-27.
- [Hugging Face profile](https://huggingface.co/rodrigoramosrs)
- [How the hub is built](https://savrn.com/model-hub/methodology)