xw1234gan/cnk12_Main_fixed_BaseAnchor_3B_step_3

TEXT GENERATIONConcurrency Cost:1Model Size:3.1BQuant:BF16Ctx Length:32kPublished:Apr 25, 2026Architecture:Transformer Cold

The xw1234gan/cnk12_Main_fixed_BaseAnchor_3B_step_3 is a 3.1 billion parameter language model developed by xw1234gan, featuring a 32768 token context length. This model is a base anchor variant, indicating a foundational architecture. Due to limited information, its specific primary differentiators and optimized use cases are not detailed, suggesting it serves as a general-purpose language model or a base for further fine-tuning.

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Model Overview

The xw1234gan/cnk12_Main_fixed_BaseAnchor_3B_step_3 is a 3.1 billion parameter language model with a substantial context length of 32768 tokens. Developed by xw1234gan, this model is identified as a "BaseAnchor" variant, implying it serves as a foundational model. The provided model card indicates that specific details regarding its architecture, training data, and intended applications are currently marked as "More Information Needed."

Key Characteristics

  • Parameter Count: 3.1 billion parameters.
  • Context Length: Supports a long context window of 32768 tokens.
  • Developer: xw1234gan.
  • Model Type: BaseAnchor, suggesting a foundational or pre-trained model.

Current Limitations and Information Gaps

As per the model card, detailed information regarding the following aspects is not yet available:

  • Specific model architecture and objective.
  • Training data and procedures.
  • Evaluation metrics and results.
  • Intended direct or downstream use cases.
  • Known biases, risks, or limitations.

Users should be aware that without further details, the model's optimal applications and performance characteristics remain undefined. It is likely intended as a general-purpose base model for various NLP tasks, pending more specific guidance from the developer.