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

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## Models

Model · Image and text to text

### [Qwen3.8-27B-nvfp4-NInfer](https://savrn.com/models/qwen3-8-27b-nvfp4-ninfer)

[Neroued](https://savrn.com/model-publishers/neroued)

This model card is the version-controlled source for The repository contains a mixed NVFP4/FP8 representation of Qwen3.8-27B. It combines the official BF16 checkpoint with the fixed packed Text weights from unsloth/Qwen3.8-27B-NVFP4 in the native NInfer.ninfer artifact format. The artifact is intended only for NInfer; it is not a Transformers checkpoint, Safetensors distribution, or GGUF file. The artifact uses the Qwen3.5 Dense architecture. Text layers 0–55 use NVFP4 MLP weights, while the token embedding, attention input/output projections, GDN Q/K/V/Z and output projections, full output head, and Text layers 56–63 MLP weights use row-scaled FP8. Control weights use BF16, with separate…

Open weights apache-2.0 ninfer

[View model](https://savrn.com/models/qwen3-8-27b-nvfp4-ninfer)

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## Source

- Listed from their public repositories, read 2026-09-29.
- [Hugging Face profile](https://huggingface.co/neroued)
- [How the hub is built](https://savrn.com/model-hub/methodology)