# Lee (grimlee): Open-Weight Models and Datasets
Source: https://savrn.com/model-publishers/grimlee
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

### [Huihui-Qwen3.8-27B-abliterated-EXL3-3.0bpw](https://savrn.com/models/huihui-qwen3-8-27b-abliterated-exl3-3-0bpw)

[Lee](https://savrn.com/model-publishers/grimlee)

This repository contains an EXL3 3.0 bpw quantization of The original model and abliteration work are attributed to huihui-ai; this repository contains the EXL3 quantization produced by grimlee. The source model is an abliterated / uncensored derivative of Qwen3.8-27B. For details about the original model modification and its behavior, refer to the source model card. The checkpoint retains the Qwen3.8 multimodal model structure, including the vision component. The optional SM89 runtime work documented below does not change the model format or weights. The checkpoint uses the standard EXL3 format with a target body bitrate of 3.0 bits per weight. The target bitrate applies to the quantized…

Open weights apache-2.0 6.7B parameters 262,144 tokens transformers

[View model](https://savrn.com/models/huihui-qwen3-8-27b-abliterated-exl3-3-0bpw)

## 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 2026-09-20.
- [Hugging Face profile](https://huggingface.co/grimlee)
- [How the hub is built](https://savrn.com/model-hub/methodology)