Axilotal/cadquery-qwen2.5-7b-v5.2-hardened

TEXT GENERATIONPricing:Input $0.4 / Cached $0.08 / Output $0.8Concurrent Unit Cost:1Model Size:7.6BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Aug 26, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

Axilotal/cadquery-qwen2.5-7b-v5.2-hardened is a 7.6 billion parameter Qwen2.5 model developed by Axilotal, fine-tuned from unsloth/Qwen2.5-Coder-7B-Instruct-bnb-4bit. This model was trained using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for instruction-following tasks, leveraging its Qwen2.5 base for general language understanding and generation.

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Model Overview

Axilotal/cadquery-qwen2.5-7b-v5.2-hardened is a 7.6 billion parameter language model developed by Axilotal. It is a fine-tuned variant of the unsloth/Qwen2.5-Coder-7B-Instruct-bnb-4bit model, leveraging the Qwen2.5 architecture for its foundational capabilities.

Key Characteristics

  • Base Model: Fine-tuned from unsloth/Qwen2.5-Coder-7B-Instruct-bnb-4bit.
  • Training Efficiency: This model was trained with Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
  • License: Distributed under the Apache-2.0 license.

Intended Use Cases

This model is suitable for general instruction-following tasks, benefiting from the Qwen2.5 base model's robust language understanding and generation capabilities. Its efficient training methodology suggests potential for rapid iteration and deployment in various applications requiring a capable 7B-class instruction-tuned model.

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