shahidul034/Qwen2.5-3B-search-think-answer
TEXT GENERATIONConcurrency Cost:1Model Size:3.1BQuant:BF16Ctx Length:32kLicense:apache-2.0Architecture:Transformer Open Weights Warm
The shahidul034/Qwen2.5-3B-search-think-answer is a 3.1 billion parameter Qwen2.5 model, developed by shahidul034 and fine-tuned from unsloth/Qwen2.5-3B. This model was trained using Unsloth and Huggingface's TRL library, enabling faster fine-tuning. It is designed for search, thought processing, and answer generation tasks, leveraging its efficient training methodology.
Loading preview...
Model Overview
This model, shahidul034/Qwen2.5-3B-search-think-answer, is a 3.1 billion parameter language model developed by shahidul034. It is fine-tuned from the unsloth/Qwen2.5-3B base model, leveraging the Unsloth library for accelerated training.
Key Characteristics
- Base Model: Qwen2.5-3B architecture.
- Developer: shahidul034.
- Training Efficiency: Fine-tuned using 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 specifically designed for applications requiring:
- Search: Assisting in information retrieval and query processing.
- Thought Processing: Supporting reasoning and analytical tasks.
- Answer Generation: Producing coherent and relevant responses based on input.