DJ-AI-Radio

Tamil AI DJ Radio - Merged Model

Format: Merged (base + adapter fused)

Fine-tuned Qwen 2.5-0.5B model for generating energetic Tanglish (Tamil-English mix) radio DJ commentary. This is the merged model with LoRA adapter fused into the base model for easy deployment.

Model Details

• Base Model: Qwen/Qwen2.5-0.5B-Instruct
• Parameters: 494M (0.5B)
• Precision: FP16
• Training: Fine-tuned with LoRA on 5,027 DJ commentary examples
• Language: Tanglish (Tamil-English code-mixed)
• Use Case: Radio DJ commentary generation

Other Formats

This model is available in three formats:

• DJ-AI-Radio (this repo) - Merged model for deployment
• DJ-AI-Radio-LoRA - LoRA adapter for researchers
• DJ-AI-Radio-MLX - MLX format for Mac users

Usage

from transformers import AutoModelForCausalLM, AutoTokenizer
import torch

model_name = "felixmanojh/DJ-AI-Radio"

tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained(
    model_name,
    trust_remote_code=True,
    torch_dtype=torch.float16
)

messages = [
    {"role": "system", "content": "You are a Tamil AI radio DJ who speaks energetic Tanglish. Create engaging commentary."},
    {"role": "user", "content": "Hype up a high-energy dance track for weekend party"}
]

text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
inputs = tokenizer(text, return_tensors="pt")

outputs = model.generate(
    **inputs,
    max_new_tokens=150,
    temperature=0.8,
    top_p=0.9,
    do_sample=True
)

response = tokenizer.decode(outputs[0], skip_special_tokens=True)
print(response)

Demo

Try the live demo: Tamil AI DJ Radio Space

Training Data

Fine-tuned on 5,027 diverse DJ commentary examples covering:

• Party & dance vibes
• Chill & relaxation
• Workout motivation
• Study focus music
• Late night romance
• Morning energy

License

Apache 2.0

Citation

@misc{tamil-ai-dj-radio,
  author = {Felix Manojh},
  title = {Tamil AI DJ Radio - Tanglish Radio DJ Commentary Generator},
  year = {2026},
  publisher = {HuggingFace},
  url = {https://huggingface.co/felixmanojh/DJ-AI-Radio}
}

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