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

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## Models

Model · Text generation

### [Qwen3-32B-NVFP4-W4A4](https://savrn.com/models/qwen3-32b-nvfp4-w4a4)

[Cezar](https://savrn.com/model-publishers/ggamecrazy)

NVFP4 W4A4 quantization of (revision 9216db5781bf21249d130ec9da846c4624c16137, BF16). It was made for a controlled NVFP4-vs-MXFP4 decode benchmark on NVIDIA B200 (fp4bench), not as a general-purpose release: the NVFP4 and MXFP4 checkpoints share the model, the tool, the recipe, the calibration data and the layer coverage, and differ only in the format. Recipe: QuantizationModifier(targets="Linear", scheme="NVFP4", ignore=["lmhead"]). The plain preset recipe, with no weight-rounding optimization (GPTQ, AutoRound and the like). anon8231489123/ShareGPTVicunaunfiltered at revision 192ab2185289094fc556ec8ce5ce1e8e587154ca, at most 1024 tokens each (33208 tokens in all, seed 3). The data sets…

Open weights apache-2.0 19.1B parameters 40,960 tokens

[View model](https://savrn.com/models/qwen3-32b-nvfp4-w4a4)

Model · Text generation

### [Qwen3-32B-MXFP4-W4A4](https://savrn.com/models/qwen3-32b-mxfp4-w4a4)

[Cezar](https://savrn.com/model-publishers/ggamecrazy)

MXFP4 W4A4 quantization of (revision 9216db5781bf21249d130ec9da846c4624c16137, BF16). It was made for a controlled NVFP4-vs-MXFP4 decode benchmark on NVIDIA B200 (fp4bench), not as a general-purpose release: the NVFP4 and MXFP4 checkpoints share the model, the tool, the recipe, the calibration data and the layer coverage, and differ only in the format. Recipe: QuantizationModifier(targets="Linear", scheme="MXFP4", ignore=["lmhead"]). The plain preset recipe, with no weight-rounding optimization (GPTQ, AutoRound and the like). anon8231489123/ShareGPTVicunaunfiltered at revision 192ab2185289094fc556ec8ce5ce1e8e587154ca, at most 1024 tokens each (33208 tokens in all, seed 3). MXFP4 has no…

Open weights apache-2.0 32.8B parameters 40,960 tokens

[View model](https://savrn.com/models/qwen3-32b-mxfp4-w4a4)

## Explore More

- [All model publishers](https://savrn.com/model-publishers)
- [The model directory](https://savrn.com/models)
- [The dataset directory](https://savrn.com/datasets)

## Source

- Listed from their public repositories, read 2026-10-09.
- [Hugging Face profile](https://huggingface.co/ggamecrazy)
- [How the hub is built](https://savrn.com/model-hub/methodology)