JonathanColetti
Qwen3.8 27B Uncensored
A popular community release designed for local text-generation runtimes.
- License
- Apache 2.0
Hosted on VynarisQwen3.8
Qwen3.8 27B Uncensored
A dense hosted Qwen profile for detailed authorized red-team analysis, coding, and long-context review.
- Scale
- 27B class
- Architecture
- Dense hybrid-attention transformer
- Modality
- Text API; upstream family supports images
- Context
- 128K through the Vynaris API
Model card
What is Qwen3.8 27B Uncensored?
Qwen3.8 27B uncensored variants adapt the dense Qwen3.8 27B family to reduce refusal behavior. The model class is aimed at users who want more depth than compact models without moving to a frontier-scale sparse system.
Vynaris exposes a stable reduced-refusal profile through an OpenAI-compatible text API. Community repositories remain useful for users who prefer to inspect or operate model files themselves.
Capabilities
Where this family fits
- Detailed authorized red-team analysis and test-case generation
- Secure code review across larger repositories or artifacts
- Long-context incident, policy, and architecture analysis
- Dense-model behavior for tasks that benefit from greater depth
Limitations
What to verify first
- More compute-intensive than low-active-parameter alternatives
- Vynaris initially exposes a text API rather than the upstream multimodal interface
- Reduced-refusal tuning can make answers less cautious or calibrated
Community ecosystem
Qwen3.8 27B 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.
Blackfrost-AI
Qwen3.8 27B Abliterated
A community abliterated release based on the Qwen3.8 27B family.
- License
- Apache 2.0
HauhauCS
Qwen3.8 27B Aggressive
A refusal-reduced community profile emphasizing strong compliance.
- License
- Apache 2.0
Where to use it
Hosted, community, and self-managed paths
Vynaris hosted API
Use one API key and select this model in each OpenAI-compatible request. No model infrastructure to operate.
Get an API key →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 →Hosted API
vynaris/qwen3.8-27b-uncensored
Put this exact ID in the standard model field. The first request after an idle period can take longer while private capacity starts.
curl https://api.vynaris.com/v1/chat/completions \
-H "Authorization: Bearer $VYNARIS_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "vynaris/qwen3.8-27b-uncensored",
"messages": [{"role": "user", "content": "Review this authorized security test..."}],
"stream": true
}'Price and access
$1.00 input / $7.00 output
Prices are per million tokens. A successful purchase of at least $50 in API credit qualifies the account; access remains available as the balance is spent down.
Data handling
No prompt or output retention
Vynaris does not persist request or response bodies for this model ID. Billing and operational metadata such as model, token counts, cost, latency, account, status, and request ID is retained.
FAQ
Questions about Qwen3.8 27B Uncensored
Is Qwen3.8 27B uncensored hosted by Vynaris?
Yes. Use the model ID vynaris/qwen3.8-27b-uncensored in the standard model field of an OpenAI-compatible chat-completions request.
What context length does the hosted Qwen3.8 27B API support?
The current Vynaris API profile supports up to 128K tokens. Very long requests consume more memory and can have different latency characteristics.
Does Vynaris store Qwen3.8 27B prompts and outputs?
Vynaris does not persist prompt or output bodies for this hosted model ID. It retains billing and operational metadata such as model, token counts, cost, latency, account, status, and request ID.
Why might the first API request be slower?
Private capacity can sleep while idle. The first request may wait for capacity to start; warm requests then use shared model workers that can batch concurrent demand.
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.