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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "producer": { | |
| "name": "modelopt", | |
| "version": "0.43.0" | |
| }, | |
| "quantization": { | |
| "quant_algo": "NVFP4", | |
| "kv_cache_quant_algo": null, | |
| "group_size": 16, | |
| "exclude_modules": [ | |
| "lm_head", | |
| "model.visual.blocks.0.mlp*", | |
| "model.visual.blocks.1.mlp*", | |
| "model.visual.blocks.10.mlp*", | |
| "model.visual.blocks.11.mlp*", | |
| "model.visual.blocks.12.mlp*", | |
| "model.visual.blocks.13.mlp*", | |
| "model.visual.blocks.14.mlp*", | |
| "model.visual.blocks.15.mlp*", | |
| "model.visual.blocks.16.mlp*", | |
| "model.visual.blocks.17.mlp*", | |
| "model.visual.blocks.18.mlp*", | |
| "model.visual.blocks.19.mlp*", | |
| "model.visual.blocks.2.mlp*", | |
| "model.visual.blocks.20.mlp*", | |
| "model.visual.blocks.21.mlp*", | |
| "model.visual.blocks.22.mlp*", | |
| "model.visual.blocks.23.mlp*", | |
| "model.visual.blocks.24.mlp*", | |
| "model.visual.blocks.25.mlp*", | |
| "model.visual.blocks.26.mlp*", | |
| "model.visual.blocks.3.mlp*", | |
| "model.visual.blocks.4.mlp*", | |
| "model.visual.blocks.5.mlp*", | |
| "model.visual.blocks.6.mlp*", | |
| "model.visual.blocks.7.mlp*", | |
| "model.visual.blocks.8.mlp*", | |
| "model.visual.blocks.9.mlp*" | |
| ] | |
| } | |
| } |