affanshaikhsurab/qwen3_0.6b_xlam_function_calling

Hugging Face
TEXT GENERATIONConcurrency Cost:1Model Size:0.8BQuant:BF16Ctx Length:32kPublished:Jan 16, 2026License:apache-2.0Architecture:Transformer Open Weights Warm

The affanshaikhsurab/qwen3_0.6b_xlam_function_calling model is a 0.8 billion parameter Qwen3-based language model, finetuned by affanshaikhsurab. It was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training. This model is specifically designed for function calling, leveraging its optimized training for efficient execution.

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Model Overview

The affanshaikhsurab/qwen3_0.6b_xlam_function_calling is a 0.8 billion parameter model based on the Qwen3 architecture, developed by affanshaikhsurab. This model has been specifically finetuned for function calling capabilities.

Key Training Details

  • Finetuning Base: The model was finetuned from affanshaikhsurab/qwen3_0.6b_xlam_function_calling.
  • Accelerated Training: Training was significantly optimized, achieving a 2x speedup, by utilizing the Unsloth library in conjunction with Huggingface's TRL library.

Primary Use Case

This model is intended for applications requiring efficient and accurate function calling, benefiting from its specialized finetuning and optimized training process.