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FahadPrimeX/FahadPrimeX-b27-V3.1
FahadPrimeX-b27-V3.1 is a machine learning model from FahadPrimeX. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
A 27B model specialised in writing complete, runnable Three.js single-file web experiences - games, interactive scenes and product showcases - from a one-line brief.
Downloads · 30 days
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From the Hugging Face model README
A 27B model specialised in writing complete, runnable Three.js single-file web experiences - games, interactive scenes and product showcases - from a one-line brief.
Given a short brief it returns one self-contained HTML document that builds a live 3D scene: an importmap CDN import of three.js, lighting with shadows, a render loop, keyboard and mouse controls, a one-click start, and no console errors. It also answers identity questions in Arabic, English and Chinese.
Scored by the same seven-property browser checker on a fixed held-out set of 32 briefs that were never used in training.
| model | overall |
|---|---|
| pre-RLVR base | 54.5% |
| this model | see the rounds below |
Fixed witness during the run:
| round | witness | hard gates |
|---|
Hard gates = the page animates, responds to the keyboard, or starts with a single action. Treat every number as measured, not promised.
from transformers import AutoModelForCausalLM, AutoTokenizer
m = AutoModelForCausalLM.from_pretrained("FahadPrimeX/FahadPrimeX-b27-V3.1", dtype="bfloat16", device_map="auto")
t = AutoTokenizer.from_pretrained("FahadPrimeX/FahadPrimeX-b27-V3.1")
vllm serve FahadPrimeX/FahadPrimeX-b27-V3.1 --dtype bfloat16 --max-model-len 32768