Instructions to use nmslmgl/SSVAL-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nmslmgl/SSVAL-7B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("./checkpoints/Qwen2.5-7B-Instruct") model = PeftModel.from_pretrained(base_model, "nmslmgl/SSVAL-7B") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_comment_cca": "--- Cross-Layer Consistency Alignment (CCA) ---", | |
| "_comment_spera": "--- Frequency-domain Representation Alignment (SPERA) ---", | |
| "_comment_spara": "--- Spatial-domain Representation Alignment (SPARA) ---", | |
| "_comment_ms": "--- Multi-scale Configuration for SPARA ---", | |
| "_comment_prompt": "--- Vision Prompt Module ---", | |
| "_comment_shared": "--- Shared Configuration ---", | |
| "_name_or_path": "./checkpoints/SSVAL-7B-Instruct", | |
| "architectures": [ | |
| "Qwen2ForCausalLM" | |
| ], | |
| "attention_dropout": 0.0, | |
| "bos_token_id": 151643, | |
| "cca_weight": 0.15, | |
| "cpd_target_layers": [ | |
| 14 | |
| ], | |
| "data": { | |
| "data_path": "./data/llava-665k/llava_v1_5_mix665k.json", | |
| "image_aspect_ratio": "pad", | |
| "image_folder": "./data/llava-665k", | |
| "lazy_preprocess": true | |
| }, | |
| "early_layer": 2, | |
| "enable_cca_loss": false, | |
| "enable_spera_loss": true, | |
| "enable_spara_loss": true, | |
| "enable_vision_prompts": true, | |
| "eos_token_id": 151645, | |
| "spera_gamma_high": 1.0, | |
| "spera_gamma_low": 1.0, | |
| "spera_weight": 0.15, | |
| "freeze_mm_mlp_adapter": false, | |
| "hidden_act": "silu", | |
| "hidden_size": 3584, | |
| "spara_alpha": 1.0, | |
| "spara_beta": 0.3, | |
| "spara_weight": 0.3, | |
| "image_aspect_ratio": "pad", | |
| "initializer_range": 0.02, | |
| "intermediate_size": 18944, | |
| "late_layer": 26, | |
| "max_position_embeddings": 32768, | |
| "max_window_layers": 28, | |
| "mm_hidden_size": 1024, | |
| "mm_patch_merge_type": "flat", | |
| "mm_projector_lr": null, | |
| "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": "./checkpoints/clip-vit-large-patch14-336", | |
| "model": { | |
| "cpd": { | |
| "ms_scales": [ | |
| 1, | |
| 2, | |
| 4 | |
| ], | |
| "ms_weights": [ | |
| 1.0, | |
| 1.0, | |
| 1.0 | |
| ] | |
| }, | |
| "mm_projector_type": "mlp2x_gelu", | |
| "mm_use_im_patch_token": false, | |
| "mm_use_im_start_end": false, | |
| "mm_vision_select_layer": -2, | |
| "model_name_or_path": "./checkpoints/Qwen2.5-7B-Instruct", | |
| "pretrain_mm_mlp_adapter": "./checkpoints/llava-v1.5-qwen2-pretrain/mm_projector.bin", | |
| "version": "qwen_2", | |
| "vision_tower": "./checkpoints/clip-vit-large-patch14-336" | |
| }, | |
| "model_type": "llava_qwen2", | |
| "ms_scales": [ | |
| 1, | |
| 2, | |
| 4 | |
| ], | |
| "ms_weights": [ | |
| 1.0, | |
| 1.0, | |
| 1.0 | |
| ], | |
| "num_attention_heads": 28, | |
| "num_hidden_layers": 28, | |
| "num_key_value_heads": 4, | |
| "num_vfm_prompts": 4, | |
| "num_vision_prompts": 4, | |
| "only_coco": false, | |
| "pretraining_tp": 1, | |
| "projector_dim": 2048, | |
| "rms_norm_eps": 1e-06, | |
| "rope_theta": 1000000.0, | |
| "sliding_window": 131072, | |
| "tensor_parallel_size": 1, | |
| "tie_word_embeddings": false, | |
| "tokenizer_model_max_length": 2048, | |
| "tokenizer_padding_side": "right", | |
| "torch_dtype": "bfloat16", | |
| "training": { | |
| "bf16": true, | |
| "dataloader_num_workers": 4, | |
| "ddp_find_unused_parameters": true, | |
| "deepspeed": "configs/zero2.json", | |
| "evaluation_strategy": "no", | |
| "gradient_accumulation_steps": 4, | |
| "gradient_checkpointing": false, | |
| "group_by_modality_length": true, | |
| "learning_rate": 0.0002, | |
| "logging_steps": 1, | |
| "lora_alpha": 128, | |
| "lora_dropout": 0.05, | |
| "lora_enable": true, | |
| "lora_r": 64, | |
| "lr_scheduler_type": "cosine", | |
| "model_max_length": 2048, | |
| "num_train_epochs": 1, | |
| "output_dir": "./result/llava-qwen2.5-7b-SSVAL", | |
| "per_device_eval_batch_size": 2, | |
| "per_device_train_batch_size": 2, | |
| "report_to": "wandb", | |
| "run_name": "cpd-llava-qwen2.5-7b-lora", | |
| "save_steps": 5000, | |
| "save_strategy": "steps", | |
| "save_total_limit": 1, | |
| "tf32": true, | |
| "warmup_ratio": 0.03, | |
| "weight_decay": 0.0 | |
| }, | |
| "transformers_version": "4.37.2", | |
| "tune_mm_mlp_adapter": false, | |
| "use_cache": true, | |
| "use_cca_projection": false, | |
| "use_mm_proj": true, | |
| "use_sliding_window": false, | |
| "vfm_target": "dinov2-vit-b", | |
| "vocab_size": 152064, | |
| "vra_loss": false, | |
| "z_dim": 768 | |
| } | |