license, base_model, tags, library_name

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

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))