Instructions to use Anatolejdm/split_2x2_ViT_SO400M_14_SigLIP_384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Anatolejdm/split_2x2_ViT_SO400M_14_SigLIP_384 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/work1/aroger/anatolejdm/downloaded_models/OpenHermes-2.5-Mistral-7B") model = PeftModel.from_pretrained(base_model, "Anatolejdm/split_2x2_ViT_SO400M_14_SigLIP_384") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_name_or_path": "/work1/aroger/anatolejdm/downloaded_models/OpenHermes-2.5-Mistral-7B", | |
| "architectures": [ | |
| "MistralForCausalLM" | |
| ], | |
| "attention_bias": false, | |
| "rope_scaling": null, | |
| "pretraining_tp": 1, | |
| "bos_token_id": 1, | |
| "eos_token_id": 32000, | |
| "freeze_mm_mlp_adapter": false, | |
| "hidden_act": "silu", | |
| "hidden_size": 4096, | |
| "image_aspect_ratio": "pad", | |
| "image_grid_pinpoints": null, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 14336, | |
| "max_position_embeddings": 32768, | |
| "mm_hidden_size": 4608, | |
| "mm_projector_lr": 2e-07, | |
| "mm_projector_type": "mlp2x_gelu", | |
| "mm_use_im_patch_token": false, | |
| "mm_use_im_start_end": false, | |
| "mm_vision_select_feature": "patch", | |
| "mm_vision_select_layer": -2, | |
| "mm_vision_tower": "SplitVisionTransformer", | |
| "model_type": "llava_mistral", | |
| "num_attention_heads": 32, | |
| "num_hidden_layers": 32, | |
| "num_key_value_heads": 8, | |
| "rms_norm_eps": 1e-05, | |
| "rope_theta": 10000.0, | |
| "sliding_window": 4096, | |
| "tie_word_embeddings": false, | |
| "torch_dtype": "bfloat16", | |
| "transformers_version": "4.35.0", | |
| "tune_mm_mlp_adapter": false, | |
| "use_cache": true, | |
| "use_mm_proj": true, | |
| "vocab_size": 32002 | |
| } | |