---
license: apache-2.0
base_model: Qwen/Qwen2.5-Coder-1.5B-Instruct
tags:
  - code
  - qlora
  - qwen2.5
library_name: transformers
---

# Index-9

`Qwen2.5-Coder-1.5B-Instruct` fine-tuned with QLoRA for coding (Python + web:
JS/TS/HTML/CSS). Designed to be paired with live **web search** — a small model
that leans on the web for facts. See the companion Space for the search-augmented
chat demo.

## Usage

```python
from transformers import AutoModelForCausalLM, AutoTokenizer

tok = AutoTokenizer.from_pretrained("Visixn/Index-9")
model = AutoModelForCausalLM.from_pretrained("Visixn/Index-9")

msgs = [{"role": "user", "content": "Write a palindrome checker in Python"}]
prompt = tok.apply_chat_template(msgs, tokenize=False, add_generation_prompt=True)
out = model.generate(**tok(prompt, return_tensors="pt"), max_new_tokens=256)
print(tok.decode(out[0], skip_special_tokens=True))
```