endless-frontier/Fx-Phys
just landed · new, unvettedmodel
New, unvetted: created or first seen in the last few days, not from a trusted org and not past the signal threshold yet.
Fx-Phys is a 35B-class multimodal language model for research-level physics reasoning. Mixture-of-experts, 36B total, 3B active (256 experts, 8 per token). Context: 256K tokens (config). License: apache-2.0. Vendor-reported: "It also surpasses DeepSeek-V4-Pro-Preview on all six benchmarks in this comparison."
- Vendor-reported: It also surpasses DeepSeek-V4-Pro-Preview on all six benchmarks in this comparison.
- Org
- endless-frontier
- Released
- 2026-10-24
- Status
- just landed · new, unvetted
- License
- apache-2.0 (permissive)
- Parameters
- 36.0B total, 3.0B active
- Architecture
- MoE · 256 experts, 8/token · Qwen3_5MoeForConditionalGeneration
- Context
- 262,144 tokens
- Task
- image-text-to-text · vision
- Signal
- 2 HF likes · 26 downloads
Runs on
real quant files; need = weights + FP16 KV cache for 8K tokens + 1GB. A sizing calculation, not tested.
- Q4 ~23.4 GB: 32GB GPU (5090), Mac 36GB, Mac 48GB, CPU only, 32GB RAM (slow)
- Q8 ~40.1 GB: 48GB GPU (RTX 6000 Ada / A6000), Mac 64GB (M1 Max), Mac 96GB, CPU only, 64GB RAM (slow)
- FP16 ~73.6 GB: 96GB GPU (RTX Pro 6000 Blackwell), 1× DGX Spark (128GB), 2× DGX Spark (256GB), Strix Halo 128GB unified (~96GB usable), Mac 128GB, Mac 192GB, Mac 256GB, Mac 512GB, CPU only, 128GB RAM (slow), CPU only, 256GB RAM (slow)
Links
First published here 2026-10-24 · updated 2026-10-24 · markdown · JSON