weirek/Affine-new-tr-1
TEXT GENERATIONConcurrency Cost:1Model Size:4BQuant:BF16Ctx Length:32kPublished:Dec 13, 2025License:apache-2.0Architecture:Transformer Open Weights Cold

Affine-new-tr-1 by weirek is a 4 billion parameter causal language model fine-tuned for conversational data, featuring a 40960 token context length. This model is specifically optimized for use within the Affine subnet, making it suitable for applications requiring specialized dialogue capabilities in that environment. Its fine-tuning on conversational data suggests a focus on generating human-like text in interactive scenarios.

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Overview

weirek/Affine-new-tr-1 is a 4 billion parameter causal language model with an extended context length of 40960 tokens. It has been fine-tuned using the Hugging Face Transformers library specifically for conversational data, making it adept at generating dialogue and interactive text.

Key Capabilities

  • Conversational AI: Optimized for generating human-like responses in chat-based applications due to its fine-tuning on conversational datasets.
  • Extended Context: Supports a substantial context window of 40960 tokens, allowing for more coherent and context-aware interactions over longer conversations.
  • Affine Subnet Integration: Designed and fine-tuned for specific use within the Affine subnet, indicating potential specialized performance in that ecosystem.

Good For

  • Dialogue Systems: Ideal for chatbots, virtual assistants, and other applications requiring natural language conversation.
  • Context-Rich Interactions: Suitable for scenarios where maintaining long-term conversational context is crucial.
  • Specialized Affine Applications: Best utilized in environments or projects associated with the Affine subnet where its specific fine-tuning can be leveraged.

Limitations

As with many language models, Affine-new-tr-1 inherits potential biases and limitations from its base model and the data it was trained on. Users should exercise caution and responsibility in deployment, being mindful of these inherent constraints.