Instructions to use N8Programs/imagegpt-large-bf16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use N8Programs/imagegpt-large-bf16 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir imagegpt-large-bf16 N8Programs/imagegpt-large-bf16
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
| { | |
| "activation_function": "quick_gelu", | |
| "attn_pdrop": 0.1, | |
| "embd_pdrop": 0.1, | |
| "initializer_range": 0.02, | |
| "layer_norm_epsilon": 1e-05, | |
| "model_type": "imagegpt", | |
| "model_file": "imagegpt_mlx_lm.py", | |
| "n_embd": 1536, | |
| "n_head": 16, | |
| "n_inner": null, | |
| "n_layer": 48, | |
| "n_positions": 1024, | |
| "reorder_and_upcast_attn": false, | |
| "resid_pdrop": 0.1, | |
| "scale_attn_by_inverse_layer_idx": false, | |
| "scale_attn_weights": true, | |
| "tie_word_embeddings": false, | |
| "transformers_version": "4.13.0.dev0", | |
| "use_cache": true, | |
| "vocab_size": 513, | |
| "torch_dtype": "bfloat16" | |
| } | |