3MPER0RR/Ornith-1.5-35B-A3B-3MPER0RR-abliterated

Hugging Face
TEXT GENERATIONPricing:Input $0.4 / Cached $0.07 / Output $4Concurrent Unit Cost:2Model Size:35.1BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Sep 16, 2026License:mitArchitecture:Transformer Open Weights Featherless Exclusive Warm

3MPER0RR/Ornith-1.5-35B-A3B-3MPER0RR-abliterated is a 35.1 billion parameter language model developed by 3MPER0RR, based on the Huihui-Ornith-1.5-35B-A3B-abliterated base model. This model has undergone a multi-round abliteration process, indicating a focus on refinement and optimization. It is designed for research and experimentation, offering a foundation for various natural language processing tasks.

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Model Overview

3MPER0RR/Ornith-1.5-35B-A3B-3MPER0RR-abliterated is a 35.1 billion parameter language model created by 3MPER0RR. It is built upon the Huihui-Ornith-1.5-35B-A3B-abliterated base model and has been subjected to a multi-round "abliteration" process, suggesting iterative refinement and optimization.

Key Characteristics

  • Base Model: Derived from Huihui-Ornith-1.5-35B-A3B-abliterated.
  • Parameter Count: Features 35.1 billion parameters, providing substantial capacity for complex language understanding and generation tasks.
  • Development Process: Utilizes a multi-round abliteration technique, indicating a focus on enhancing specific model attributes or performance through iterative processing.
  • Context Length: Supports a context length of 32768 tokens, allowing for processing and generating longer sequences of text.

Intended Use Cases

This model is primarily intended for:

  • Research and Experimentation: Ideal for developers and researchers exploring advanced language model capabilities and fine-tuning techniques.
  • Natural Language Processing Tasks: Suitable for a broad range of NLP applications where a large parameter count and extensive context window are beneficial.

It is released under the MIT License, facilitating flexible use in various projects.