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README
License: otherModel Description
Fine-tuned Qwen3-VL-8B-Instruct for Indian legal document understanding. Trained on 68,438 deduplicated legal QA pairs covering:
- IPC sections & interpretation
- Civil procedure (CPC)
- Court judgments & orders
- Property & land laws
- Family & succession laws
- Contract & commercial laws
Training
| Parameter | Value |
|---|---|
| Base Model | Qwen3-VL-8B-Instruct |
| Method | QLoRA 4-bit |
| Rank (r) | 16 |
| Alpha | 32 |
| Dataset | 68,438 pairs |
| Steps | 12,000 (of 48,762) |
| Eval Loss | 0.04454 |
Usage
python
from transformers import Qwen3VLForConditionalGeneration, AutoProcessorfrom peft import PeftModelmodel = Qwen3VLForConditionalGeneration.from_pretrained("Qwen/Qwen3-VL-8B-Instruct",torch_dtype="auto",device_map="auto")model = PeftModel.from_pretrained(model, "Arjun9350/Letese-Legal-LLM-v5")processor = AutoProcessor.from_pretrained("Qwen/Qwen3-VL-8B-Instruct")
Developed by
Arjun Singh (Letese / AI24x7)
Model provider
Arjun9350
Model tree
Base
Qwen/Qwen3-VL-8B-Instruct
Adapter
this model
Modalities
Input
Text, Image
Output
Text
Pricing
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