Text Generation
PEFT
Safetensors
Turkish
English
llama
lora
medical
healthcare
doctor-patient
healthcare-assistant
conversational
4-bit precision
bitsandbytes
Instructions to use menesnas/medical_Chat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use menesnas/medical_Chat with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/meta-llama-3.1-8b-instruct-bnb-4bit") model = PeftModel.from_pretrained(base_model, "menesnas/medical_Chat") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files
README.md
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base_model: unsloth/meta-llama-3.1-8b-instruct-bnb-4bit
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pipeline_tag: text-generation
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model_type: llama
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model_size: 8B
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tags:
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- peft
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- lora
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- medical
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- healthcare
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- turkish
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- doctor-patient
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- healthcare-assistant
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- text-generation
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base_model: unsloth/meta-llama-3.1-8b-instruct-bnb-4bit
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pipeline_tag: text-generation
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model_type: llama
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tags:
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- peft
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- lora
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- medical
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- healthcare
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- doctor-patient
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- healthcare-assistant
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- text-generation
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