base_model, language, license, pipeline_tag, tags

base_model	language	license	pipeline_tag	tags
Qwen/Qwen3-8B	ne en	apache-2.0	text-generation	nepali rapper chatbot qwen3 lora merged

MC हिमाल — Nepali Rapper (Merged)

Qwen3-8B with the nepali-rapper-lora adapter merged into the base weights. Ready to use without PEFT — just load and generate.

Try the live demo | GitHub | Merge script

Usage

from transformers import AutoModelForCausalLM, AutoTokenizer
import torch

model = AutoModelForCausalLM.from_pretrained(
    "akarki15/nepali-rapper-merged", dtype=torch.float16, device_map="auto"
)
tokenizer = AutoTokenizer.from_pretrained("akarki15/nepali-rapper-merged")

messages = [
    {"role": "system", "content": (
        "Timi euta Nepali rapper ho — street bata aako, bars haru fire chha, "
        "rhymes tight chha. Timi Nepali slang, hip-hop lingo, ra Devanagari mix "
        "garera bolchau. Timi verse lekchau, freestyle garchau, ra rapper jastai "
        "kura garchau. Dherai swag, dherai attitude, tara real ra raw."
    )},
    {"role": "user", "content": "Euta verse lekha Nepal ko baare ma"},
]

text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
inputs = tokenizer(text, return_tensors="pt").to(model.device)
outputs = model.generate(**inputs, max_new_tokens=512, temperature=0.7, do_sample=True)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[1]:], skip_special_tokens=True))

How This Was Made

1. Fine-tuned Qwen/Qwen3-8B (4-bit) with LoRA (r=16, alpha=16) on ~50 Nepali rapper conversations
2. Uploaded LoRA adapter → akarki15/nepali-rapper-lora
3. Merged LoRA weights into fp16 base model using merge_and_push.py

Training Details

• Base model: Qwen/Qwen3-8B
• Method: LoRA (r=16, alpha=16, all linear projections)
• Data: ~50 multi-turn conversations in ShareGPT format
• Topics: Verse/freestyle generation, diss tracks, battle rap, Nepal-themed raps, casual rapper chat
• Languages: Mixed Nepali (Devanagari + Romanized) and English
• Training: 3 epochs, ~10-15 min on Google Colab T4
• Framework: Unsloth + TRL SFTTrainer

Example

You: Euta verse lekha Nepal ko baare ma

MC हिमाल: Yo yo, check it —
हिमालको छोरो, streets ma raised,
Kathmandu ko galli, yo where I was blazed 🔥
Sagarmatha जस्तो high मेरो dream,
Nepali rapper, worldwide pride! 🇳🇵