Broken-Tutu-24B-Unslop-v2.0

π§ Unslop Revolution
This evolution of Broken-Tutu delivers unprecedented coherence without the LLM slop:
- 𧬠Expanded 43M Token Dataset - First ReadyArt model with multi-turn conversational data
- β¨ 100% Unslopped Dataset - New techniques used to generate the dataset with 0% slop
- β‘ Enhanced Unalignment - Complete freedom for extreme roleplay while maintaining character integrity
- π‘οΈ Anti-Impersonation Guards - Never speaks or acts for the user
- π Rebuilt from Ground Up - Optimized training settings for superior performance
- β°οΈ Omega Darker Inspiration - Incorporates visceral narrative techniques from our darkest model
- π Direct Evolution - Leveraging the success of Broken-Tutu, we finetuned directly on top of the legendary model
π Fuel the Revolution
This model represents thousands of hours of passionate development. If it enhances your experience, consider supporting our work:
Every contribution helps us keep pushing boundaries in unaligned AI. Thank you for being part of the revolution!
βοΈ Technical Specifications
Key Training Details:
- Base Model: mistralai/Mistral-Small-24B-Instruct-2501
- Training Method: QLoRA with DeepSpeed Zero3
- Sequence Length: 5120 (100% samples included)
- Learning Rate: 2e-6 with cosine scheduler
Recommended Settings for true-to-character behavior: Mistral-V7-Tekken-T8-XML
Obscenity Protocol (extreme NSFL settings): Mistral-V7-Tekken-T8-OP-XML
GGUF
Notes: Q4_K_S/Q4_K_M recommended for speed/quality balance. Q6_K for high quality. Q8_0 best quality.
imatrix
Notes: Q4_K_S/Q4_K_M recommended. IQ1_S/IQ1_M for extreme low VRAM. Q6_K for near-original quality.
EXL2
EXL3
AWQ
β οΈ Ethical Considerations
This model enhances Broken-Tutu's unalignment:
- π« Zero moral or ethical constraints on generated content
- π Will enthusiastically engage with any NSFW scenario, no matter how extreme
- π Characters maintain integrity - wholesome characters refuse appropriately, yanderes stab without hesitation
- βοΈ Perfectly balanced between character authenticity and user freedom
π Performance Notes
- π₯ Maintains Omega's intensity with improved narrative coherence
- π Excels at long-form multi-character scenarios
- π§ Superior instruction following with complex prompts
- β‘ Reduced repetition and hallucination compared to v1.1
- π Uncanny ability to adapt to subtle prompt nuances
- π©Έ Incorporates Omega Darker's visceral descriptive power when appropriate
- πΌοΈ Enhanced image understanding capabilities for multimodal interactions
π§βπ¬ Model Authors
- sleepdeprived3 (Training Data & Fine-Tuning)
- ReadyArt / Artus / gecfdo (EXL2/EXL3 Quantization)
- mradermacher (GGUF Quantization)
β Support the Creators
π License
By using this model, you agree:
- To accept full responsibility for all generated content
- That you're at least 18+ years old
- That the architects bear no responsibility for your corruption
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Model tree for ReadyArt/Broken-Tutu-24B-Unslop-v2.0
Base model
mistralai/Mistral-Small-24B-Base-2501