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Model: akarki15/nepali-rapper-merged
Source: Original Platform

README.md

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+---
+base_model: Qwen/Qwen3-8B
+language:
+  - ne
+  - en
+license: apache-2.0
+pipeline_tag: text-generation
+tags:
+  - nepali
+  - rapper
+  - chatbot
+  - qwen3
+  - lora
+  - merged
+---
+
+# MC हिमाल — Nepali Rapper (Merged)
+
+Qwen3-8B with the [nepali-rapper-lora](https://huggingface.co/akarki15/nepali-rapper-lora) adapter merged into the base weights. Ready to use without PEFT — just load and generate.
+
+**[Try the live demo](https://huggingface.co/spaces/akarki15/nepali-rapper-chat)** | **[GitHub](https://github.com/akarki15/nepali-rapper)** | **[Merge script](https://github.com/akarki15/nepali-rapper/blob/master/merge_and_push.py)**
+
+## Usage
+
+```python
+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`](https://huggingface.co/akarki15/nepali-rapper-lora)
+3. Merged LoRA weights into fp16 base model using [`merge_and_push.py`](https://github.com/akarki15/nepali-rapper/blob/master/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! 🇳🇵
+```