The-Omega-Directive
L3.3-70B-Unslop-v2.1

π§ Unslop Revolution
This evolution of The-Omega-Directive delivers unprecedented coherence without the LLM slop:
- 𧬠RegEx Filtred ~39M Token Dataset - Second 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
- β°οΈ Omega Darker Inspiration - Incorporates visceral narrative techniques from our darkest model
- π§ 128K Context Window - Enhanced long-context capabilities without compromising performance
βοΈ Technical Specifications
Key Training Details:
- Base Model: Steelskull/L3.3-Shakudo-70b
- Training Method: QLoRA with DeepSpeed Zero3
- Sequence Length: 5120 (100% samples included)
- Learning Rate: 2e-6 with cosine scheduler
Recommended Settings: Pending Β―\_(γ)_/Β― Base model presets should also work.
GGUF
Notes: Q4_K_M recommended for speed/quality balance. Q6_K for very high quality. Q8_0 for original like quality. Prefer imatrix if possible in most cases.
imatrix
Notes: Q4_K_M recommended. IQ1_S/IQ1_M for desperate. Q6_K for very high quality.
EXL2
EXL3
β οΈ Ethical Considerations
This model enhances The-Omega-Directive'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
π§βπ¬ Model Authors
- sleepdeprived3 (Training Data)
- gecfdo (Fine-Tuning & data filtering)
- ReadyArt / Artus / gecfdo (EXL2/EXL3 Quantization)
- mradermacher (GGUF Quantization)
Links
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
Inference Providers
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Model tree for ReadyArt/L3.3-The-Omega-Directive-70B-Unslop-v2.1_EXL3
Base model
meta-llama/Llama-3.1-70B
Finetuned
meta-llama/Llama-3.3-70B-Instruct
Finetuned
Steelskull/L3.3-Shakudo-70b