README.md

---
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
```python
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