Instructions to use wjdghks950/phi1_5_siglip_patch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use wjdghks950/phi1_5_siglip_patch with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/phi-1_5") model = PeftModel.from_pretrained(base_model, "wjdghks950/phi1_5_siglip_patch") - Notebooks
- Google Colab
- Kaggle
Download source_config.json from wjdghks950/phi1_5_siglip_patch: direct link, hf CLI and curl.
- Browser
- Download file 2.18 kB
-
https://huggingface.co/wjdghks950/phi1_5_siglip_patch/resolve/main/source_config.json
- Command line
-
hf download hf://wjdghks950/phi1_5_siglip_patch/source_config.json
-
curl -L -o source_config.json https://huggingface.co/wjdghks950/phi1_5_siglip_patch/resolve/main/source_config.json
2.18 kB
| { | |
| "_name_or_path": "microsoft/phi-1_5", | |
| "architectures": [ | |
| "PhiForCausalLM" | |
| ], | |
| "attention_dropout": 0.0, | |
| "attn_level": "patch_layer", | |
| "bos_token_id": null, | |
| "cap_softmax": false, | |
| "cap_softmax_value": 0.06, | |
| "confidence_gate": false, | |
| "confidence_gate_slope": 10.0, | |
| "confidence_gate_threshold": 0.6, | |
| "embd_pdrop": 0.0, | |
| "eos_token_id": null, | |
| "force_reserve_layer": true, | |
| "freeze_mm_mlp_adapter": false, | |
| "freeze_residual_scaling_coef": false, | |
| "hidden_act": "gelu_new", | |
| "hidden_size": 2048, | |
| "hybrid_beta_init": null, | |
| "hybrid_beta_override": null, | |
| "hybrid_disagreement_metric": "kl_local_global", | |
| "hybrid_reserve_mode": "local_gate", | |
| "image_aspect_ratio": "pad", | |
| "initializer_range": 0.02, | |
| "intermediate_size": 8192, | |
| "layer_norm_eps": 1e-05, | |
| "learnable_gate": false, | |
| "max_position_embeddings": 2048, | |
| "mm_hidden_size": 1152, | |
| "mm_patch_merge_type": "flat", | |
| "mm_projector_lr": 5e-05, | |
| "mm_projector_type": "mlp2x_gelu", | |
| "mm_text_hidden_size": 1152, | |
| "mm_use_im_patch_token": false, | |
| "mm_use_im_start_end": false, | |
| "mm_use_text_enc": true, | |
| "mm_vision_select_feature": "patch", | |
| "mm_vision_select_layer": -2, | |
| "mm_vision_tower": "google/siglip-so400m-patch14-384", | |
| "model_type": "phi", | |
| "num_attention_heads": 32, | |
| "num_hidden_layers": 24, | |
| "num_key_value_heads": 32, | |
| "num_layers_to_choose": 1, | |
| "pad_token_id": 50256, | |
| "partial_rotary_factor": 0.5, | |
| "qk_layernorm": false, | |
| "reserve_layer": -2, | |
| "resid_pdrop": 0.0, | |
| "rope_scaling": null, | |
| "rope_theta": 10000.0, | |
| "router_lr": 5e-05, | |
| "save_router_stats": true, | |
| "save_steps_router_stats": 5, | |
| "text_attention_dim": 1024, | |
| "text_attention_type": "qk", | |
| "text_conditioning": "attention", | |
| "text_pool": "mean", | |
| "text_scale": 1.0, | |
| "tie_word_embeddings": false, | |
| "tokenizer_model_max_length": 2048, | |
| "tokenizer_padding_side": "right", | |
| "torch_dtype": "float16", | |
| "transformers_version": "4.37.2", | |
| "tune_mm_mlp_adapter": false, | |
| "tune_residual_scaling_coef": false, | |
| "use_cache": true, | |
| "use_mm_proj": true, | |
| "use_text_conditioned_router": true, | |
| "use_text_only_gating": false, | |
| "vision_tower_delta": false, | |
| "vocab_size": 51200 | |
| } | |