KuldeepVyttah/qwen-soa-merged-model
TEXT GENERATIONConcurrency Cost:1Model Size:7.6BQuant:FP8Ctx Length:32kTool Calling:SupportedPublished:Jun 8, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
KuldeepVyttah/qwen-soa-merged-model is a 7.6 billion parameter Qwen2-based instruction-tuned language model developed by KuldeepVyttah. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general instruction-following tasks, leveraging its Qwen2 architecture and efficient fine-tuning process.
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Model Overview
KuldeepVyttah/qwen-soa-merged-model is an instruction-tuned language model based on the Qwen2 architecture, featuring 7.6 billion parameters. It was developed by KuldeepVyttah and fine-tuned from unsloth/Qwen2.5-7B-Instruct-bnb-4bit.
Key Capabilities
- Efficient Fine-tuning: This model was trained significantly faster using Unsloth and Huggingface's TRL library, highlighting an optimized training approach.
- Qwen2 Architecture: Leverages the robust Qwen2 foundation, known for its strong performance across various language tasks.
- Instruction Following: As an instruction-tuned model, it is designed to understand and execute user prompts effectively.
Good For
- Applications requiring a capable instruction-following model within the 7B parameter range.
- Developers interested in models fine-tuned with efficient methods like Unsloth.
- General natural language processing tasks where the Qwen2 architecture is suitable.