qwen38b-malayalam-v4-checkpoint-4080

This is a merged LoRA model based on Qwen/Qwen3-8B, fine-tuned for Malayalam language tasks.

Model Details

• Base Model: Qwen/Qwen3-8B
• Language: Malayalam (ml), English (en)
• Type: Merged LoRA model
• Library: transformers

Usage

from transformers import AutoTokenizer, AutoModelForCausalLM
import torch

model_name = "justinj92/qwen38b-malayalam-v4-checkpoint-4080"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(
    model_name,
    torch_dtype=torch.float16,
    device_map="auto"
)

# Example usage
text = "നമസ്കാരം"
inputs = tokenizer(text, return_tensors="pt")
outputs = model.generate(**inputs, max_length=100)
response = tokenizer.decode(outputs[0], skip_special_tokens=True)
print(response)

Training Details

This model was created by merging a LoRA adapter trained for Malayalam language understanding and generation.