affine-Top/Affine-re-5FsaFNsvKL8KVRToBr317eQVwWgJWQLeqceHVtByyuVqkMDT

TEXT GENERATIONConcurrent Unit Cost:2Model Size:32BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Jun 11, 2026Architecture:Transformer Featherless Exclusive Cold

Affine-Top/Affine-re-5FsaFNsvKL8KVRToBr317eQVwWgJWQLeqceHVtByyuVqkMDT is a 32 billion parameter language model with a 32768 token context length. This model is designed for general language understanding and generation tasks, leveraging its substantial parameter count and extended context window for robust performance. Its architecture is optimized for handling complex queries and generating coherent, contextually relevant responses across a wide range of applications.

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Model Overview

Affine-Top/Affine-re-5FsaFNsvKL8KVRToBr317eQVwWgJWQLeqceHVtByyuVqkMDT is a large language model featuring 32 billion parameters and an extensive context window of 32768 tokens. While specific training details and unique differentiators are not provided in the available README, its substantial size and context length suggest a strong capability for processing and generating detailed, long-form text.

Key Capabilities

  • General Language Understanding: Capable of comprehending complex prompts and diverse linguistic structures.
  • Text Generation: Expected to produce coherent and contextually appropriate text for various applications.
  • Extended Context Handling: The 32768 token context window allows for processing and maintaining context over very long inputs, beneficial for tasks requiring extensive memory or document analysis.

Good For

  • Applications requiring deep contextual understanding.
  • Generating detailed reports, articles, or creative content.
  • Tasks that benefit from processing large amounts of information in a single query.