FLUX.1-dev โ fni8 (int8 dp4a)
Quantization of black-forest-labs/FLUX.1-dev to the
.fni8 resident format (~17.0 GB) for the fni8
W8A8 DP4A kernels on NVIDIA Volta (sm_70) โ Tesla V100 / CMP 100-210.
- Weights: int8 per-row (W8A8), fp32 scales, stored in the resident dp4a VRAM layout (loads with no dequant/repack).
- Source dtype:
bfloat16(raw tensors kept fp16, upcast to fp32 only on overflow) - Why dp4a: sm_70 has no int8 tensor cores; the contraction runs on the
__dp4aCUDA-core intrinsic. On the CMP-100-210 fleet (firmware-gimped fp16 tensor cores) dp4a is the fast path, not a compromise. - Runtimes: fni8-serve (LLMs) / ComfyUI-fni8 (diffusion DiTs).
This is a derivative quantization; its license follows the parent model above.
Model tree for jajmangold/FLUX.1-dev-fni8
Base model
black-forest-labs/FLUX.1-dev