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Omda312

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liked a model about 24 hours ago

ritvik77/Medical_Doctor_AI_LoRA-Mistral-7B-Instruct_FullModel

reacted to ritvik77's post with 🔥 about 24 hours ago

Try it out: https://huggingface.co/ritvik77/Medical_Doctor_AI_LoRA-Mistral-7B-Instruct_FullModel 🩺 Medical Diagnosis AI Model - Powered by Mistral-7B & LoRA 🚀 🔹 Model Overview: Base Model: Mistral-7B (7.7 billion parameters) Fine-Tuning Method: LoRA (Low-Rank Adaptation) Quantization: bnb_4bit (reduces memory footprint while retaining performance) 🔹 Parameter Details: Original Mistral-7B Parameters: 7.7 billion LoRA Fine-Tuned Parameters: 4.48% of total model parameters (340 million) Final Merged Model Size (bnb_4bit Quantized): ~4.5GB This can help you in making a AI agent for healthcare, if you need to finetune it for JSON function/tool calling format you can use some medical function calling dataset to again fine fine tine on it.

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HamzaNaser/Dialects-to-MSA-Transformer

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liked a model about 24 hours ago

ritvik77/Medical_Doctor_AI_LoRA-Mistral-7B-Instruct_FullModel

Text Generation • Updated 3 days ago • 13 • 2

reacted to ritvik77's post with 🔥 about 24 hours ago

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Try it out: ritvik77/Medical_Doctor_AI_LoRA-Mistral-7B-Instruct_FullModel

🩺 Medical Diagnosis AI Model - Powered by Mistral-7B & LoRA 🚀
🔹 Model Overview:
Base Model: Mistral-7B (7.7 billion parameters)
Fine-Tuning Method: LoRA (Low-Rank Adaptation)
Quantization: bnb_4bit (reduces memory footprint while retaining performance)
🔹 Parameter Details:
Original Mistral-7B Parameters: 7.7 billion
LoRA Fine-Tuned Parameters: 4.48% of total model parameters (340 million) Final Merged Model Size (bnb_4bit Quantized): ~4.5GB

This can help you in making a AI agent for healthcare, if you need to finetune it for JSON function/tool calling format you can use some medical function calling dataset to again fine fine tine on it.