Emiliosbs/Ben3.0-7B-Uncensored

TEXT GENERATIONPricing:Input $0.4 / Cached $0.08 / Output $0.8Concurrent Unit Cost:1Model Size:7.6BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Aug 21, 2026License:apache-2.0Architecture:Transformer0.0K Open Weights Featherless Exclusive Cold

Emiliosbs/Ben3.0-7B-Uncensored is a 7.6 billion parameter language model developed by BananaAdmin, fine-tuned for uncensored text generation. This model is designed to provide unrestricted responses, making it suitable for applications requiring broad and unfiltered content. With a context length of 32768 tokens, it can handle extensive inputs and generate coherent, long-form text.

Loading preview...

Emiliosbs/Ben3.0-7B-Uncensored Overview

Emiliosbs/Ben3.0-7B-Uncensored is a 7.6 billion parameter language model developed by BananaAdmin. This model is specifically fine-tuned to operate without content restrictions, aiming to provide uncensored and unfiltered text generation capabilities. It is built upon an unspecified base architecture, leveraging its 7.6 billion parameters to process and generate diverse textual content.

Key Capabilities

  • Unrestricted Content Generation: Designed to produce responses without typical content filters or censorship, offering broad applicability for various text generation tasks.
  • Large Context Window: Features a substantial context length of 32768 tokens, enabling it to maintain coherence and relevance over extended conversations or documents.
  • General Purpose Text Generation: Capable of handling a wide array of natural language processing tasks, from creative writing to informational queries, without imposed content limitations.

Good For

  • Research and Development: Ideal for researchers exploring the boundaries of language models and the effects of uncensored outputs.
  • Applications Requiring Unfiltered Responses: Suitable for use cases where content moderation is handled downstream or where unrestricted output is a core requirement.
  • Creative Writing and Roleplay: Can be utilized for generating diverse narratives and character interactions without predefined content constraints.