Steve/qwen_2.5_7b-tiger_numbers_l1distill_fullft_ep3_ds10k

TEXT GENERATIONConcurrency Cost:1Model Size:7.6BQuant:FP8Ctx Length:32kTool Calling:SupportedPublished:Jul 2, 2026License:apache-2.0Architecture:Transformer Open Weights Cold

Steve/qwen_2.5_7b-tiger_numbers_l1distill_fullft_ep3_ds10k is a 7.6 billion parameter Qwen2.5-7B-Instruct model developed by Steve. This model was fine-tuned using Unsloth and Huggingface's TRL library, achieving 2x faster training. It is designed for general language tasks, leveraging its Qwen2.5 architecture for robust performance.

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Model Overview

Steve/qwen_2.5_7b-tiger_numbers_l1distill_fullft_ep3_ds10k is a 7.6 billion parameter language model developed by Steve. It is fine-tuned from the unsloth/Qwen2.5-7B-Instruct base model, leveraging the Qwen2.5 architecture.

Key Characteristics

  • Architecture: Based on the Qwen2.5-7B-Instruct model.
  • Training Efficiency: This model was trained significantly faster, achieving a 2x speedup, by utilizing the Unsloth library in conjunction with Huggingface's TRL library.
  • License: Distributed under the Apache-2.0 license, allowing for broad use and modification.

Use Cases

This model is suitable for a variety of general language understanding and generation tasks, benefiting from its efficient fine-tuning process and robust base architecture.

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