FoundryAILabs/bharat-marathi-7b-lora
07
BharatLLM Marathi -- K-12 Education LoRA
A QLoRA adapter for Mistral-7B, fine-tuned on CBSE/NCERT K-12 curriculum data in Marathi (मराठी).
Part of the BharatLLM project: 13 LoRA adapters (12 K-12 languages + 1 BTech Engineering).
Model Details
Quick Start (Unsloth -- Fastest)
from unsloth import FastLanguageModel
model, tokenizer = FastLanguageModel.from_pretrained(
model_name="FoundryAILabs/bharat-marathi-7b-lora",
max_seq_length=2048,
load_in_4bit=True,
)
FastLanguageModel.for_inference(model)
inputs = tokenizer("[INST] What is photosynthesis? [/INST]", return_tensors="pt").to("cuda")
outputs = model.generate(**inputs, max_new_tokens=512)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))Using with HuggingFace Transformers
from peft import PeftModel
from transformers import AutoModelForCausalLM, AutoTokenizer
base = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.3", load_in_4bit=True, device_map="auto")
tokenizer = AutoTokenizer.from_pretrained("mistralai/Mistral-7B-Instruct-v0.3")
model = PeftModel.from_pretrained(base, "FoundryAILabs/bharat-marathi-7b-lora")All BharatLLM Models
Website: foundryailabs.io | GitHub: github.com/foundryailabs/BharatLLM
