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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- **LoRA Rank**: 16
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- **LoRA Alpha**: 32
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- **Target Modules**: q_proj, k_proj, v_proj, o_proj, gate_proj, up_proj, down_proj
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- **Dropout**: 0.0
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- **Task Type**: Causal Language Modeling
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## Eğitim Verisi
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- **Base Model**: unsloth/meta-llama-3.1-8b-instruct-bnb-4bit
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- **LoRA Rank**: 16
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- **LoRA Alpha**: 32
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- **Task Type**: Causal Language Modeling
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## Eğitim Verisi
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