DavidAU
Dark Champion 8x3B
An 18.4B-class community MoE build focused on instruction following and reduced refusals.
- License
- Apache 2.0
Community model guideLlama 3.2 community MoE
Llama 3.2 MoE Uncensored
Community mixture-of-experts builds combining Llama-derived experts for creative work, roleplay, and reduced-refusal evaluation.
- Scale
- 18B–21B class
- Architecture
- Community mixture-of-experts builds
- Modality
- Text
- Context
- Variant and runtime dependent
Model card
What is Llama 3.2 MoE Uncensored?
Llama 3.2 MoE uncensored is not one official Meta release. It describes community-built mixtures that combine multiple Llama-derived experts and apply reduced-refusal modifications.
These models are popular with enthusiasts who want more diverse behavior than a single dense checkpoint. Architecture, active experts, prompt format, memory requirements, and quality can differ significantly between releases.
Capabilities
Where this family fits
- Creative and conversational generation
- Role-based adversarial testing in authorized environments
- Long-form ideation and scenario generation
- Experimentation with community mixture-of-experts routing
Limitations
What to verify first
- The family name covers multiple independent community constructions
- Performance and memory estimates cannot be transferred safely between variants
- Compatibility depends on the repository's prescribed runtime and prompt template
Community ecosystem
Llama 3.2 MoE Uncensored variants on Hugging Face
These are independent community releases. Vynaris is not affiliated with their publishers and does not imply that similarly named variants are identical. Check each repository card and license before use.
DavidAU
Dark Champion V2 8x4B
A larger 21B-class follow-up with a different expert composition.
- License
- Apache 2.0
Where to use it
Hosted, community, and self-managed paths
Managed hosted alternative
This exact family is not a public Vynaris endpoint. Use Qwen3.8 27B Uncensored when managed API access matters more than an exact checkpoint.
View the hosted alternative →Hugging Face repositories
Inspect model cards, licenses, files, release notes, and community discussions directly from the publishers listed above.
Open the first listed variant ↗Local or private deployment
Follow the selected repository's documented runtime path. Hardware, context, batching, and compatibility depend on that exact distribution.
Read Vynaris API documentation →FAQ
Questions about Llama 3.2 MoE Uncensored
Is Llama 3.2 MoE Uncensored an official Meta model?
No. The releases described here are independent community constructions based on Llama-derived components, not official Meta model variants.
What does 8x3B or 8x4B mean?
It describes the community model's expert composition. It does not mean every expert is fully active for every token, and it should not be used alone to estimate memory or speed.
Can I access these models through an API?
The linked repositories support self-managed use according to their instructions. Vynaris does not currently expose these exact builds, but it offers a related hosted dense 27B reduced-refusal model.
Which Llama MoE variant should I choose?
Compare the publisher's evaluations, license, runtime support, memory needs, and your own task-specific tests. The larger label does not guarantee better results for every workload.
Related model cards
Compare nearby size and architecture classes
Security-friendly, not criminal-friendly.
Use these models only for lawful, authorized work. Child sexual exploitation, human trafficking or exploitation, and non-consensual sexual content are prohibited. Reduced refusal is not a safety, accuracy, or authorization guarantee.