ModelHub XC a5d278286a 初始化项目,由ModelHub XC社区提供模型
Model: electroglyph/Qwen3-4B-Instruct-2507-uncensored-unslop-v2
Source: Original Platform
2026-06-08 01:34:22 +08:00

library_name, license, license_link, pipeline_tag
library_name license license_link pipeline_tag
transformers apache-2.0 https://huggingface.co/Qwen/Qwen3-4B-Instruct-2507/blob/main/LICENSE text-generation

This is a GRPO finetune to remove slop from this model: Qwen3-4B-Instruct-2507-uncensored

It's not perfect, there are some before and after examples below.

I used the same method (mostly) as this model: gemma-3-4b-it-unslop-GRPO-v3

Note: This is not an RP tune, it's a compliant model with a different style from regular Qwen3 4B 2507.

My uncensoring dataset was generated by Gemma 3 27B abliterated model, which added a lot of Gemma writing style to this model.

It also added some Gemma style slop, which this finetune has helped mitigate.

I've uploaded a UD-Q4_K_XL GGUF with settings that I grabbed from Unsloth's quant using my lil utility: quant_clone

Here are some pics of before and after output with the slop highlighted and total at the bottom:

Prompt = "write a short story about a gothic romance, it should be around 500 words long"

Before:

before

before

before

After:

before

before

before

Description
Model synced from source: electroglyph/Qwen3-4B-Instruct-2507-uncensored-unslop-v2
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