Alelcv27/Qwen2.5-3B-Base-Code
TEXT GENERATIONConcurrency Cost:1Model Size:3.1BQuant:BF16Ctx Length:32kPublished:Apr 15, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
Alelcv27/Qwen2.5-3B-Base-Code is a 3.1 billion parameter Qwen2 model developed by Alelcv27. This base model was finetuned using Unsloth and Huggingface's TRL library, enabling faster training. It serves as a foundational model, likely intended for further specialization or as an efficient base for various natural language processing tasks.
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Model Overview
Alelcv27/Qwen2.5-3B-Base-Code is a 3.1 billion parameter Qwen2 model developed by Alelcv27. This model is a base version, indicating it's a foundational language model suitable for a wide range of general-purpose NLP tasks before any specific instruction tuning or domain adaptation.
Key Characteristics
- Architecture: Based on the Qwen2 model family.
- Parameter Count: Features 3.1 billion parameters, offering a balance between performance and computational efficiency.
- Training Efficiency: Finetuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
- License: Distributed under the Apache-2.0 license, allowing for broad use and modification.
Potential Use Cases
- Further Finetuning: Ideal as a starting point for developers to finetune on specific datasets or tasks, leveraging its efficient training base.
- Research and Development: Suitable for exploring new NLP techniques or model behaviors due to its manageable size and open license.
- General Text Generation: Can be used for basic text generation, summarization, or translation tasks where a smaller, efficient model is preferred.