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| T5_SHUNT_REPOS = { | |
| "clip_g": { | |
| "models": ["vit-bigG-14", 'flan-t5-base'], | |
| "config": { | |
| "adapter_id": "003", "name": "DualShuntAdapter-G", | |
| "t5": { | |
| "model": "google/flan-t5-base", | |
| "hidden_size": 768 | |
| }, | |
| "clip": { | |
| "model": "openai/clip-vit-large-patch14", | |
| "hidden_size": 1280 | |
| }, | |
| "hidden_size": 1280, # This is the adapter's output size | |
| "bottleneck": 640, "heads": 20, | |
| "tau_init": 0.1, "max_guidance": 10.0, | |
| "proj_layers": 2, "layer_norm": True, "dropout": 0.1, | |
| "use_dropout": True, "use_proj_stack": True, "assert_input_dims": True, | |
| "routing": {"type": "cross_attention", "enable_causal_mask": False, "bidirectional": True}, | |
| "version": "v0.3.2" | |
| }, | |
| "repo": "AbstractPhil/t5-flan-base-vit-bigG-14-dual-stream-adapter", | |
| "shunts_available": { | |
| "shunt_type_name": "DualStreamAdapter-G", | |
| "config_file_name": "config.json", | |
| "shunt_list": [ | |
| "t5-flan-vit-bigG-14-dual_shunt_caption.safetensors", | |
| "t5-flan-vit-bigG-14-dual_shunt_no_caption_e1.safetensors", | |
| "t5-flan-vit-bigG-14-dual_shunt_no_caption_e2.safetensors", | |
| "t5-flan-vit-bigG-14-dual_shunt_no_caption_e3.safetensors", | |
| "t5-flan-vit-bigG-14-dual_shunt_summarize.safetensors", | |
| "dual_shunt_omega_no_caption_e1_step_10000.safetensors", | |
| "dual_shunt_omega_no_caption_noised_e1_step_1000.safetensors", | |
| "dual_shunt_omega_no_caption_noised_e1_step_4000.safetensors", | |
| "dual_shunt_omega_no_caption_noised_e1_step_10000.safetensors", | |
| ], | |
| } | |
| }, | |
| "clip_l": { | |
| "models": ["vit-l-14", 'flan-t5-base'], | |
| "config": { | |
| "adapter_id": "002", | |
| "name": "DualShuntAdapter", | |
| "t5": {"model": "google/flan-t5-base", "hidden_size": 768}, | |
| "clip": {"model": "openai/clip-vit-large-patch14", "hidden_size": 768}, | |
| "hidden_size": 768, # This is the adapter's output size | |
| "bottleneck": 384, "heads": 12, | |
| "tau_init": 0.1, "max_guidance": 10.0, | |
| "proj_layers": 2, "layer_norm": True, "dropout": 0.1, | |
| "use_dropout": True, "use_proj_stack": True, "assert_input_dims": True, | |
| "routing": {"type": "cross_attention", "enable_causal_mask": False, "bidirectional": True}, | |
| "version": "v0.3.2" | |
| }, | |
| "repo": "AbstractPhil/t5-flan-base-vit-l-14-dual-stream-adapter", | |
| "shunts_available": { | |
| "shunt_type_name": "DualStreamAdapter-L", | |
| "config_file_name": "config.json", | |
| "shunt_list": [ | |
| "t5-vit-l-14-dual_shunt_caption.safetensors", | |
| "t5-vit-l-14-dual_shunt_no_caption.safetensors", | |
| "t5-vit-l-14-dual_shunt_summarize.safetensors", | |
| ], | |
| }, | |
| } | |
| } | |
| # βββ Adapter Configs βββββββββββββββββββββββββββββββββββββββββββββ | |
| BERT_CONFIGS = { | |
| "mobilebert-base-uncased": { | |
| "repo_name": "google/mobilebert-uncased", | |
| "use_huggingface": True, # defaults to simple loading from HuggingFace, if False, will use repo_name and subfolder | |
| "subfolder": "", | |
| }, | |
| "bert-base-uncased": { | |
| "repo_name": "bert-base-uncased", | |
| "use_huggingface": True, # defaults to simple loading from HuggingFace, if False, will use repo_name and subfolder | |
| }, | |
| "bert-large-uncased": { | |
| "repo_name": "bert-large-uncased", | |
| "use_huggingface": True, # defaults to simple loading from HuggingFace, if False, will use repo_name and subfolder | |
| }, | |
| "bert-base-cased": { | |
| "repo_name": "bert-base-cased", | |
| "use_huggingface": True, # defaults to simple loading from HuggingFace, if False, will use repo_name and subfolder | |
| } | |
| } | |
| T5_CONFIGS = { | |
| "flan-t5-base": { | |
| "repo_name": "google/flan-t5-base", | |
| "use_huggingface": True, # defaults to simple loading from HuggingFace, if False, will use repo_name and subfolder | |
| }, | |
| "t5-small": { | |
| "repo_name": "google-t5/t5-small", | |
| "use_huggingface": True, # defaults to simple loading from HuggingFace, if False, will use repo_name and subfolder | |
| }, | |
| "t5_small_human_attentive_try2_pass3": { | |
| "repo_name": "AbstractPhil/t5_small_human_attentive_try2_pass3", | |
| "use_huggingface": True, # defaults to simple loading from HuggingFace, if False, will use repo_name and subfolder | |
| # the necessary config is present here for posterity in case it fails to load from HuggingFace. | |
| "subfolder": "", | |
| "tokenizer": "t5-small", | |
| "file_name": "model.safetensors", | |
| "config": { | |
| "config_file_name": "config.json", | |
| "architectures": [ | |
| "T5ForConditionalGeneration" | |
| ], | |
| "attention_dropout": 0.3, | |
| "classifier_dropout": 0.0, | |
| "d_ff": 2048, | |
| "d_kv": 64, | |
| "d_model": 512, | |
| "decoder_start_token_id": 0, | |
| "dense_act_fn": "relu", | |
| "dropout_rate": 0.0, #0.3, # disable for generation | |
| "eos_token_id": 1, | |
| "feed_forward_proj": "relu", | |
| "initializer_factor": 1.0, | |
| "is_encoder_decoder": True, | |
| "is_gated_act": False, | |
| "layer_norm_epsilon": 1e-06, | |
| "model_type": "t5", | |
| "n_positions": 512, | |
| "num_decoder_layers": 6, | |
| "num_heads": 8, | |
| "num_layers": 6, | |
| "output_past": True, | |
| "pad_token_id": 0, | |
| "relative_attention_max_distance": 128, | |
| "relative_attention_num_buckets": 32, | |
| "task_specific_params": { | |
| "caption": { | |
| "early_stopping": True, | |
| "length_penalty": 1.0, | |
| "max_length": 64, | |
| "num_beams": 4, | |
| "prefix": "caption: " | |
| } | |
| }, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.51.3", | |
| "use_cache": True, | |
| "vocab_size": 32128 | |
| } | |
| } | |
| } |