metadata
library_name: diffusers
tags:
- fp8
- safetensors
- converted-by-gradio
FP8 Model Conversion
- Source:
https://huggingface.co/Mamad8/MiniMax-H3-Image-VAE - Original File(s):
minimax_h3_t1_image_vae_step1597.safetensors - Original Format:
safetensors - FP8 Format:
E5M2 - FP8 File:
minimax_h3_t1_image_vae_step1597-fp8-e5m2.safetensors
Usage
from safetensors.torch import load_file
import torch
# Load FP8 model
fp8_state = load_file("minimax_h3_t1_image_vae_step1597-fp8-e5m2.safetensors")
# Convert tensors back to float32 for computation (auto-converted by PyTorch)
model.load_state_dict(fp8_state)
Note: FP8 tensors are automatically converted to float32 when loaded in PyTorch. Requires PyTorch ≥ 2.1 for FP8 support.
Statistics
- Total tensors: 562
- Converted to FP8: 562
- Skipped (non-float): 0