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
File size: 2,178 Bytes
2bbd60b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 | {
"_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
}
|