ibsophobia/sqlwen-v1
TEXT GENERATIONConcurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Jul 16, 2026License:apache-2.0Architecture:Transformer0.0K Open Weights Featherless Exclusive Cold
ibsophobia/sqlwen-v1 is an 8 billion parameter Qwen3 model developed by ibsophobia, finetuned from unsloth/Qwen3-8B-unsloth-bnb-4bit. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training. It is designed for general language tasks, leveraging its Qwen3 architecture and efficient training methodology.
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Model Overview
ibsophobia/sqlwen-v1 is an 8 billion parameter Qwen3 model, developed by ibsophobia and finetuned from unsloth/Qwen3-8B-unsloth-bnb-4bit. This model benefits from an optimized training process, having been trained 2x faster using the Unsloth library in conjunction with Huggingface's TRL library.
Key Characteristics
- Architecture: Qwen3 base model.
- Parameter Count: 8 billion parameters.
- Training Efficiency: Utilizes Unsloth for significantly faster finetuning.
- Context Length: Supports a context length of 32768 tokens.
- License: Distributed under the Apache-2.0 license.
Potential Use Cases
- General Language Understanding: Suitable for a broad range of natural language processing tasks.
- Applications requiring efficient models: Its optimized training suggests potential for deployment in environments where resource efficiency is a consideration.
- Further Finetuning: Can serve as a strong base for additional domain-specific finetuning due to its efficient training origin.