adele-o/finetuning-submission
TEXT GENERATIONPricing:Input $0.04 / Cached $0.008 / Output $0.08Concurrent Unit Cost:1Model Size:1.5BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Oct 10, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
adele-o/finetuning-submission is a 1.5 billion parameter Qwen2.5-based instruction-tuned causal language model. It was fine-tuned using Unsloth and Huggingface's TRL library, achieving a 2x faster training speed compared to standard methods. This model is optimized for efficient deployment and inference, making it suitable for applications requiring a compact yet capable language model.
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Overview
adele-o/finetuning-submission is a 1.5 billion parameter instruction-tuned language model based on the Qwen2.5 architecture. It was developed by adele-o and fine-tuned from the unsloth/Qwen2.5-1.5B-Instruct-bnb-4bit model.
Key Capabilities
- Efficient Training: This model was fine-tuned using Unsloth and Huggingface's TRL library, resulting in a 2x faster training process.
- Compact Size: With 1.5 billion parameters, it offers a balance between performance and resource efficiency.
- Instruction Following: As an instruction-tuned model, it is designed to follow user prompts and generate relevant responses.
Good For
- Applications requiring a smaller, faster-to-train language model.
- Scenarios where efficient fine-tuning is a priority.
- Tasks benefiting from a Qwen2.5-based model with instruction-following capabilities.