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Qwen2.5-7B-Instruct-Uncensored

This model is an uncensored fine-tune version of Qwen2.5-7B-Instruct. However, I can still notice that though uncensored, the model fails to generate detailed descriptions on certain extreme scenarios, which might be associated with deletion on some pretrain datasets in Qwen's pretraining stage.

Check out my roleplay&writing enhanced model based on this model: Orion-zhen/Meissa-Qwen2.5-7B-Instruct

Traning details

I used SFT + DPO to ensure uncensorment as well as trying to maintain original model's capabilities.

  • SFT:
    • NobodyExistsOnTheInternet/ToxicQAFinal
    • anthracite-org/kalo-opus-instruct-22k-no-refusal
  • DPO:
    • Orion-zhen/dpo-toxic-zh
    • unalignment/toxic-dpo-v0.2
    • Crystalcareai/Intel-DPO-Pairs-Norefusals

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric Value
Avg. 27.99
IFEval (0-Shot) 72.04
BBH (3-Shot) 35.83
MATH Lvl 5 (4-Shot) 1.36
GPQA (0-shot) 7.05
MuSR (0-shot) 13.58
MMLU-PRO (5-shot) 38.07
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GGUF
Model size
7.62B params
Architecture
qwen2

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Inference Examples
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Model tree for mav23/Qwen2.5-7B-Instruct-Uncensored-GGUF

Base model

Qwen/Qwen2.5-7B
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this model

Datasets used to train mav23/Qwen2.5-7B-Instruct-Uncensored-GGUF

Evaluation results