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README.md
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---
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language:
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- bg
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- en
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license: mit
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base_model: Qwen/Qwen2.5-Coder-7B-Instruct
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tags:
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- code
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- bulgarian
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- lora
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- peft
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- qwen2.5
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---
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# Qwen2.5-Coder-7B-Instruct – Bulgarian coding LoRA
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LoRA adapter that makes [Qwen/Qwen2.5-Coder-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-7B-Instruct) respond in **Bulgarian** for coding questions (with code and explanations). Trained on 400 OPUS-translated Bulgarian coding examples (evol-codealpaca-v1), no prompt poisoning.
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## Usage
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Load base model + this adapter with PEFT:
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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from peft import PeftModel
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import torch
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base = "Qwen/Qwen2.5-Coder-7B-Instruct"
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adapter = "YOUR_USERNAME/qwen25coder-7b-bg-lora" # or local path
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tokenizer = AutoTokenizer.from_pretrained(base, trust_remote_code=True)
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model = AutoModelForCausalLM.from_pretrained(
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base,
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torch_dtype=torch.bfloat16,
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device_map="auto",
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)
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model = PeftModel.from_pretrained(model, adapter, is_trainable=False)
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messages = [
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{"role": "system", "content": "You are a helpful coding assistant. Answer in Bulgarian when asked."},
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{"role": "user", "content": "Отговори на български. Напиши функция на Python за проверка на просто число."},
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]
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text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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inputs = tokenizer(text, return_tensors="pt").to(model.device)
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out = model.generate(**inputs, max_new_tokens=512, do_sample=False, pad_token_id=tokenizer.eos_token_id)
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print(tokenizer.decode(out[0][inputs.input_ids.shape[1]:], skip_special_tokens=True))
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```
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## Training
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- **Base:** Qwen2.5-Coder-7B-Instruct
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- **Data:** 400 samples from evol-codealpaca-v1, prompts/completions translated to Bulgarian with OPUS (Helsinki-NLP/opus-mt-en-bg), no boost phrase
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- **Adapter:** LoRA r=16, 60 steps from a prior Bulgarian adapter, saved with Unsloth
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- **Inference:** Use plain `transformers` + PEFT (Unsloth inference can hit RoPE shape errors with this adapter)
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## Limitations
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- Some explanations may slip into English on rare occasions.
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- Prefer “Отговори на български.” in the user message for consistent Bulgarian.
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- Small dataset (400 samples); more data would likely improve coverage and style.
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## License
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MIT (same as base model). Adapter weights and this card are provided as-is.
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