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Tesslate
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Model Details
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Tesslate
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Input Modalities
Output Modalities
Supported Functionality
model_id = "Tesslate/WEBGEN-OSS-20B" tok = AutoTokenizer.from_pretrained(model_id) model = AutoModelForCausalLM.from_pretrained( model_id, torch_dtype=torch.bfloat16, device_map="auto" )
prompt = """Make a single-file landing page for 'LatticeDB'. Style: modern, generous whitespace, Tailwind, rounded-xl, soft gradients. Sections: navbar, hero (headline + 2 CTAs), features grid, pricing (3 tiers), FAQ accordion, footer. Constraints: semantic HTML, no external JS."""
inputs = tok(prompt, return_tensors="pt").to(model.device) out = model.generate(**inputs, max_new_tokens=2000, temperature=0.7, top_p=0.9) print(tok.decode(out[0], skip_special_tokens=True))
Tip: Lower temperature (e.g.,
0.4–0.6) yields stricter, cleaner markup. Raise it for more visual variety.
markdown
@misc{tesslate_webgen_oss_preview_2025,title = {WEBGEN-OSS-20B: Design-first web generation},author = {Tesslate Team},year = {2025},url = {https://huggingface.co/Tesslate/WEBGEN-OSS-20B}}