HMkumbo/blood-donation-gemma4-e4b-dpo-merged-16bit
VISIONConcurrency Cost:1Model Size:7.9BQuant:FP8Ctx Length:32kTool Calling:SupportedPublished:Jun 10, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
HMkumbo/blood-donation-gemma4-e4b-dpo-merged-16bit is a 7.9 billion parameter Gemma4 model developed by HMkumbo. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for specific applications related to blood donation, leveraging its efficient training methodology.
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Overview
HMkumbo/blood-donation-gemma4-e4b-dpo-merged-16bit is a 7.9 billion parameter language model based on the Gemma4 architecture. Developed by HMkumbo, this model was fine-tuned from unsloth/gemma-4-e4b-it-unsloth-bnb-4bit.
Key Capabilities
- Efficient Training: This model benefits from being trained 2x faster using Unsloth and Huggingface's TRL library, indicating an optimized fine-tuning process.
- Gemma4 Base: Built upon the Gemma4 foundation, it inherits the core capabilities of this model family.
Good For
- Specific Domain Applications: Given its name, the model is likely specialized for tasks within the blood donation domain, such as processing related information or generating relevant content.
- Resource-Efficient Fine-tuning: Developers looking for models that have undergone efficient fine-tuning processes, potentially leading to faster iteration cycles, might find this model suitable.