This model has been fine-tuned specifically for providing nutritional guidance, meal planning, and dietary recommendations. It's trained to give helpful, accurate advice about food choices, meal preparation, and nutritional needs.

Usage

Quick Start

python

from transformers import AutoModelForCausalLM, AutoTokenizer
import torch

model = AutoModelForCausalLM.from_pretrained("RaghavM12/mistral-7b-nutritionist")
tokenizer = AutoTokenizer.from_pretrained("RaghavM12/mistral-7b-nutritionist")

prompt = "<s>[INST] What should I eat for breakfast to build muscle? [/INST]"
inputs = tokenizer(prompt, return_tensors="pt")

with torch.no_grad():
    outputs = model.generate(**inputs, max_new_tokens=150, temperature=0.7)

response = tokenizer.decode(outputs[0], skip_special_tokens=True)
print(response.split("[/INST]")[-1].strip())

For LM Studio

Open LM Studio
Go to "Search" tab
Search for "RaghavM12/mistral-7b-nutritionist"
Download and use!

Training Details

Base Model: mistralai/Mistral-7B-Instruct-v0.3
Fine-tuning Method: LoRA (Low-Rank Adaptation)
Training Data: Custom nutrition dataset
Specialization: Nutrition advice, meal planning, dietary recommendations

Capabilities

Meal planning for specific goals (muscle building, weight loss, etc.)
Nutritional advice for different dietary preferences
Food recommendations and cooking suggestions
Macro and micronutrient guidance

Example Queries

"What should I eat for breakfast to build muscle?"
"Plan a healthy meal for weight loss"
"What are good protein sources for vegetarians?"
"How can I meal prep for the week?"

License

Apache 2.0

Disclaimer

This model provides general nutritional information and should not replace professional medical or dietary advice. Always consult with healthcare professionals for personalized nutrition plans.