Unsloth DR RFMiD Fine-Tuned Gemma 4 Weights

Quantized GGUF weights for the Gemma 4 model, fine-tuned on the RFMiD retinal fundus image dataset. The author and organization are unknown. The last update date is unknown.

Use Cases

• Deploying a fine-tuned model for retinal image analysis based on the described weights.
• Benchmarking quantized model performance on medical imaging tasks.
• Transfer learning for other ophthalmological tasks using the fine-tuned foundation model.

Strengths

• Weights are quantized to GGUF format, which is a specific optimization for efficient inference.
• Model is fine-tuned on a known medical imaging dataset (RFMiD).

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

kaggle