Bhargav1/qwen2.5-7b-stage1-merged
TEXT GENERATIONConcurrent Unit Cost:1Model Size:7.6BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Jul 11, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
Bhargav1/qwen2.5-7b-stage1-merged is a 7.6 billion parameter Qwen2.5 causal language model developed by Bhargav1. This model was finetuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for general language tasks, leveraging its Qwen2.5 architecture and efficient finetuning process.
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Model Overview
Bhargav1/qwen2.5-7b-stage1-merged is a 7.6 billion parameter Qwen2.5 language model developed by Bhargav1. This model was finetuned from unsloth/qwen2.5-7b-unsloth-bnb-4bit using the Unsloth library and Huggingface's TRL. A key characteristic of this model's development is its optimized training process, which was 2x faster due to the use of Unsloth.
Key Capabilities
- Efficiently Finetuned: Leverages Unsloth for accelerated training, indicating potential for rapid adaptation to specific tasks.
- Qwen2.5 Architecture: Built upon the Qwen2.5 base model, providing a strong foundation for various language understanding and generation tasks.
- General Purpose: Suitable for a broad range of applications typical of a 7.6 billion parameter causal language model.
Good For
- Developers looking for a Qwen2.5 model that has undergone an efficient finetuning process.
- Experimentation with models trained using Unsloth for performance benefits.
- General natural language processing tasks where a 7.6B parameter model is appropriate.