ibsophobia/sqlwen-v2
TEXT GENERATIONConcurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Jul 16, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
ibsophobia/sqlwen-v2 is an 8 billion parameter Qwen3-based causal language model developed by ibsophobia. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. It is optimized for specific tasks due to its fine-tuning process, making it suitable for applications requiring efficient inference from a Qwen3 architecture.
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Overview
ibsophobia/sqlwen-v2 is an 8 billion parameter language model based on the Qwen3 architecture, developed by ibsophobia. It was fine-tuned using the Unsloth library and Huggingface's TRL, which facilitated a 2x faster training process compared to standard methods.
Key Capabilities
- Efficient Fine-tuning: Leverages Unsloth for accelerated training, making it resource-efficient.
- Qwen3 Architecture: Built upon the Qwen3 base model, inheriting its foundational capabilities.
Good For
- Applications requiring a Qwen3-8B model: Suitable for tasks where the Qwen3 architecture is preferred.
- Efficient deployment: Benefits from the optimizations gained through Unsloth fine-tuning, potentially leading to faster inference.