3MPER0RR/Qwen3.8-27B-3MPER0RR-abliterated

VISIONPricing:Input $1.6 / Cached $0.15 / Output $12Concurrent Unit Cost:2Model Size:27BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Aug 31, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

3MPER0RR/Qwen3.8-27B-3MPER0RR-abliterated is a 27 billion parameter language model based on the Qwen architecture, developed by 3MPER0RR. This model has been tested and saved, indicating a refined version of the original Qwen model. It is suitable for general language generation tasks, leveraging its substantial parameter count for robust performance.

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Model Overview

This model, 3MPER0RR/Qwen3.8-27B-3MPER0RR-abliterated, is a 27 billion parameter language model derived from the Qwen architecture. It represents a tested and saved iteration, indicating refinement by its developer, 3MPER0RR. The model operates under the Apache 2.0 license, allowing for broad use and distribution.

Key Characteristics

  • Base Architecture: Qwen
  • Parameter Count: 27 billion parameters
  • Context Length: 32768 tokens
  • Development Status: Tested and saved, suggesting a stable version for deployment.
  • License: Apache 2.0, providing permissive usage rights.

Intended Use Cases

This model is suitable for a variety of natural language processing tasks where a large parameter count can contribute to higher quality outputs. Its substantial context length makes it capable of handling longer inputs and generating more coherent, extended responses. Potential applications include:

  • Advanced text generation and completion.
  • Complex question answering.
  • Summarization of lengthy documents.
  • Creative writing and content generation.
  • Conversational AI systems requiring deep understanding.

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