Phantomcloak19/qwen2.5-3b-sft-full
TEXT GENERATIONConcurrency Cost:1Model Size:3.1BQuant:BF16Ctx Length:32kPublished:Jan 30, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
Phantomcloak19/qwen2.5-3b-sft-full is a 3.1 billion parameter Qwen2.5 model, fine-tuned by Phantomcloak19. This model was trained using Unsloth and Huggingface's TRL library, enabling 2x faster fine-tuning. It is designed for general language tasks, leveraging its efficient training methodology to provide a capable base for various applications.
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Model Overview
Phantomcloak19/qwen2.5-3b-sft-full is a 3.1 billion parameter language model, developed by Phantomcloak19. It is a fine-tuned variant of the Qwen2.5 architecture, specifically optimized for efficient training.
Key Characteristics
- Base Model: Fine-tuned from
unsloth/qwen2.5-3b-instruct-unsloth-bnb-4bit. - Efficient Training: This model was fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process compared to standard methods.
- Context Length: Supports a substantial context length of 32768 tokens, allowing for processing longer inputs and generating more coherent, extended outputs.
Potential Use Cases
- General Text Generation: Suitable for a wide range of text generation tasks due to its Qwen2.5 base and instruction-tuned nature.
- Research and Development: Its efficient fine-tuning process makes it a good candidate for researchers and developers looking to experiment with Qwen2.5 models with reduced training times.
- Applications Requiring Moderate Scale: With 3.1 billion parameters, it offers a balance between performance and computational resource requirements, making it viable for applications where larger models might be overkill or too resource-intensive.