Weidows/Qwen3.5-4B-LaTeX

VISIONConcurrent Unit Cost:1Model Size:4.5BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Mar 17, 2026Architecture:Transformer Featherless Exclusive Cold

Weidows/Qwen3.5-4B-LaTeX is a 4.5 billion parameter language model, based on the Qwen3.5 architecture, specifically fine-tuned for LaTeX-related tasks. This model is optimized for efficient deployment, having been converted to GGUF format using Unsloth. Its primary strength lies in processing and generating content relevant to LaTeX, making it suitable for academic and technical documentation workflows.

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Weidows/Qwen3.5-4B-LaTeX Overview

This model is a 4.5 billion parameter variant of the Qwen3.5 architecture, specifically fine-tuned for LaTeX applications. It has been converted to the GGUF format, which is optimized for efficient inference on various hardware, including CPUs. The fine-tuning and conversion process leveraged Unsloth, a framework known for accelerating model training and conversion.

Key Characteristics

  • Architecture: Based on the Qwen3.5 model family.
  • Parameter Count: 4.5 billion parameters, offering a balance between performance and resource efficiency.
  • Format: Available in GGUF format, including quantized versions like Q5_K_M, Q8_0, and Q4_K_M, as well as F16-mmproj.gguf.
  • Optimization: Fine-tuned and converted using Unsloth, indicating potential for faster inference and reduced memory footprint.

Potential Use Cases

  • LaTeX Document Processing: Generating or assisting with LaTeX code and structures.
  • Academic Writing: Supporting the creation of scientific papers, theses, or reports that require LaTeX formatting.
  • Technical Documentation: Automating parts of documentation workflows that involve mathematical equations, figures, and complex layouts typical of LaTeX.

This model is designed for users who need a specialized language model capable of handling LaTeX-specific content efficiently.

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