Instructions to use ApacheOne/expimodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ApacheOne/expimodel with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ApacheOne/expimodel", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "source_model_dir": "/content/HiDream-O1-Image-Dev", | |
| "load_dir": "/content/HiDream-O1-Image-Dev-merged-load-v3", | |
| "merged_safetensors": "/content/HiDream-O1-Image-Dev-BF16-merged.safetensors", | |
| "output_dir": "/content/HiDream-O1-Image-Dev-NVFP4-modelopt-v3", | |
| "modelopt_version": "0.43.0", | |
| "torch_version": "2.10.0+cu128", | |
| "torch_dtype_load": "bfloat16", | |
| "weight_only_nvfp4": true, | |
| "keep_embed_lm_head_norms": true, | |
| "keep_hidream_extra_heads": true, | |
| "skip_visual_tower": true, | |
| "post_disable_skipped_modules": true, | |
| "force_missing_amax": true, | |
| "loaded_param_count": 8767123696, | |
| "loaded_dtype_counter": { | |
| "torch.bfloat16": 8767123696 | |
| }, | |
| "missing_source_key_count": 9, | |
| "extra_loaded_key_count": 0, | |
| "loaded_key_report": "/content/HiDream-O1-Image-Dev-NVFP4-modelopt-v3/_loaded_key_report.txt", | |
| "disabled_quantizer_count": 354, | |
| "failed_disable_quantizer_count": 0, | |
| "patched_amax_count": 252, | |
| "skipped_amax_count": 0 | |
| } |