初始化项目,由ModelHub XC社区提供模型

Model: Visixn/Index-9
Source: Original Platform
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---
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))
```