metadata
language:
- en
library_name: mlx
pipeline_tag: text-generation
license: apache-2.0
base_model: Tesslate/WEBGEN-4B-Preview
tags:
- web-generation
- html
- css
- tailwind-css
- ui-generation
- web-design
- small-model
- qwen3
- transformers
- mlx
WEBGEN-4B-Preview-qx86-hi-mlx
This model WEBGEN-4B-Preview-qx86-hi-mlx was converted to MLX format from Tesslate/WEBGEN-4B-Preview using mlx-lm version 0.27.1.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("WEBGEN-4B-Preview-qx86-hi-mlx")
prompt = "hello"
if tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, add_generation_prompt=True
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)