Mistral-7B LoRA Adapter for Tatar Language (Rank 8)

This is a LoRA adapter with rank 8 fine-tuned on Tatar language.

๐Ÿ“Š Model Details

Property Value
Base Model Mistral-7B-v0.3
LoRA Rank 8
Training Data 10,000 samples
Test Perplexity 4.04
Training Epochs 2

๐Ÿš€ Usage

from transformers import AutoTokenizer, AutoModelForCausalLM
from peft import PeftModel
import torch

base_model = "mistralai/Mistral-7B-v0.3"
tokenizer = AutoTokenizer.from_pretrained(base_model)
model = AutoModelForCausalLM.from_pretrained(base_model, torch_dtype=torch.float16, device_map="auto")
model = PeftModel.from_pretrained(model, "TatarNLPWorld/mistral-7b-tatar-lora-r8")

prompt = "ะœะธะฝะตะผ ะธัะตะผะตะผ"
inputs = tokenizer(prompt, return_tensors="pt").to("cuda")
outputs = model.generate(**inputs, max_new_tokens=50)
print(tokenizer.decode(outputs[0]))

๐Ÿ“ˆ Generation Example

Prompt: "ะœะธะฝะตะผ ะธัะตะผะตะผ"
Generated: "...ะฝะตาฃ 10 ััˆัŒะปะตะบ ะฐะฝั‹ ะฑะตะปำ™ะฝ ัำฉะนะปำ™ะดะตะปำ™ั€"

๐Ÿ“Š Performance Comparison

Model Perplexity
Mistral-7B r16 3.98
Mistral-7B r8 4.04
GPT-2 medium 2.91 (full)

๐Ÿ‘ฅ Author

  • Arabov Mullosharaf Kurbonovich

๐Ÿ“œ Citation

@software{mistral_tatar_lora_r8_2026,
    title = {{Mistral-7B LoRA Adapter for Tatar Language (Rank 8)}},
    author = { Arabov Mullosharaf Kurbonovich},
    year = {2026},
    publisher = {Hugging Face},
    url = {https://huggingface.co/TatarNLPWorld/mistral-7b-tatar-lora-r8}
}
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