license: gpl 3.0 datasets: NobodyExistsOnTheInternet/ToxicQAFinal anthracite org/kalo opus instruct 22k no refusal Orion zhen/dpo toxic zh unalignment/toxic dpo v0.2 Crystalcareai/Intel DPO Pairs Norefusals language: zh en base model: Qwen/Qwen2.5 7B Instruct pipeline tag: text generation tags: qwen uncensored QuantFactory/Qwen2.5 7B Instruct Uncensored GGUF This is quantized version of Orion zhen/Qwen2.5 7B Instruct Uncensored created using llama.cpp Original Model Card 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 Pa…
We use cookies for essential functionality and analytics. You can accept or reject analytics cookies.Cookie policy