oweller2 commited on
Commit
c46937d
1 Parent(s): a22d720
README.md ADDED
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+ ---
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+ language:
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+ - en
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+ pipeline_tag: fill-mask
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+ ---
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+
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+ ## How to run:
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+ Install these requirements
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+ ```
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+ pip install flash_attn
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+ pip install transformers==4.45.2 # (probably works with newer/older but tested with >=4.45.2)
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+ ```
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+ Then you can load with
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+ ```
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+ from transformers import AutoModel, AutoTokenizer
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+ import torch
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+
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+ device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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+ print(f"Using device: {device}")
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+
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+ model = AutoModel.from_pretrained("ModernBERT/bert24-base-v2-2ep-decay_100B-0.08-lr", trust_remote_code=True)
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+ model = model.to(device)
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+ tokenizer = AutoTokenizer.from_pretrained("ModernBERT/bert24-base-v2-2ep-decay_100B-0.08-lr", trust_remote_code=True)
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+
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+ # test it out and encode some text
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+ text = "This is a test sentence"
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+ inputs = tokenizer(text, return_tensors="pt")
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+ inputs = {k: v.to(device) for k, v in inputs.items()}
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+
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+ outputs = model(**inputs)
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+ last_hidden_states = outputs.last_hidden_state
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+ print(last_hidden_states.shape)
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+ ```
config.json ADDED
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+ {
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+ "allow_embedding_resizing": true,
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+ "architectures": [
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+ "FlexBertForCasualLM"
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+ ],
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+ "auto_map": {
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+ "AutoConfig": "orionweller/FlexGPT--configuration_bert.FlexBertConfig",
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+ "AutoModel": "lightonai/FlexGPT--modeling_flexbert.FlexBertForCasualLM"
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+ },
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+ "attention_layer": "rope",
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+ "attention_probs_dropout_prob": 0.0,
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+ "attn_out_bias": false,
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+ "attn_out_dropout_prob": 0.1,
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+ "attn_qkv_bias": false,
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+ "bert_layer": "prenorm",
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+ "classifier_dropout": null,
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+ "compile_model": true,
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+ "decoder_bias": true,
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+ "deterministic_fa2": false,
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+ "embed_dropout_prob": 0.0,
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+ "embed_norm": true,
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+ "embedding_layer": "sans_pos",
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+ "encoder_layer": "base",
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+ "final_norm": true,
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+ "global_attn_every_n_layers": 3,
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+ "gradient_checkpointing": false,
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+ "head_class_act": "silu",
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+ "head_class_bias": false,
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+ "head_class_dropout": 0.0,
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+ "head_class_norm": false,
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+ "head_pred_act": "gelu",
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+ "head_pred_bias": false,
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+ "head_pred_dropout": 0.0,
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+ "head_pred_norm": true,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
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+ "hidden_size": 768,
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+ "init_cutoff_factor": 2.0,
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+ "init_method": "full_megatron",
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+ "init_small_embedding": false,
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+ "init_std": 0.02,
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+ "initial_attention_layer": null,
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+ "initial_bert_layer": null,
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+ "initial_mlp_layer": null,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 1152,
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+ "layer_norm_eps": 1e-12,
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+ "local_attn_rotary_emb_base": -1,
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+ "local_attn_rotary_emb_dim": null,
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+ "loss_function": "fa_cross_entropy",
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+ "loss_kwargs": {
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+ "reduction": "mean"
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+ },
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+ "masked_prediction": true,
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+ "max_position_embeddings": 512,
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+ "mlp_dropout_prob": 0.0,
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+ "mlp_in_bias": false,
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+ "mlp_layer": "glu",
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+ "mlp_out_bias": false,
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+ "model_type": "flex_bert",
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+ "norm_kwargs": {
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+ "bias": false,
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+ "eps": 1e-05
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+ },
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+ "normalization": "layernorm",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 22,
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+ "num_initial_layers": 1,
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+ "pad_logits": false,
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+ "pad_token_id": 0,
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+ "padding": "unpadded",
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+ "pooling_type": "cls",
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+ "position_embedding_type": "absolute",
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+ "rotary_emb_base": 10000.0,
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+ "rotary_emb_dim": 64,
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+ "rotary_emb_interleaved": false,
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+ "rotary_emb_scale_base": null,
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+ "skip_first_prenorm": true,
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+ "sliding_window": 128,
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+ "transformers_version": "4.44.1",
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+ "type_vocab_size": 2,
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+ "unpad_embeddings": true,
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+ "use_cache": true,
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+ "use_fa2": true,
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+ "use_sdpa_attn_mask": false,
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+ "vocab_size": 50368
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+ }
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tokenizer.json ADDED
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