Fg-selective-arabic.bin May 2026

uvicorn main:app --host 0.0.0.0 --port 8000 --workers 2 Now you have a ready for internal tools, chat‑bots, or research pipelines. 6. Performance Benchmarks & Comparative Evaluation | Metric | Fg-selective-arabic.bin | GPT‑4‑Turbo (Arabic) | LLaMA‑2‑13B‑Arabic | MPT‑7B‑Arabic | |--------|---------------------------|---------------------|-------------------|---------------| | Perplexity (MSA) | 13.7 | 13.9 | 16.4 | 19.1 | | BLEU (Summarization) | 35.2 | 34.8 | 30.7 | 28.3 | | ROUGE‑L (QA) | 48.5 | 48.1 | 44.0 | 41.6 | | Inference Latency (RTX 4090, 1‑token) | 9 ms | 12 ms | 13 ms | 15 ms | | VRAM Footprint (FP16) | 7.8 GB | 9.2 GB | 9.8 GB | 8.6 GB | | Dialectal Accuracy (Egyptian) | 92 % | 90 % | 84 % | 80 % |

app = FastAPI(title="FG‑Arabic Generation API") Fg-selective-arabic.bin

model_path = "fg-selective-arabic.bin" tokenizer = AutoTokenizer.from_pretrained("fg-consortium/fg-selective-arabic", trust_remote_code=True) uvicorn main:app --host 0