Upload text_encoder/config.json with huggingface_hub
Browse files- text_encoder/config.json +57 -0
text_encoder/config.json
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{
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"_attn_implementation_autoset": true,
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"_name_or_path": "/home/ubuntu/.cache/huggingface/hub/models--Jingya--pixart_sigma_pipe_xl_2_512_ms/snapshots/ee9e1f15aa5e778132655fab637943a6bc71a27c/text_encoder",
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"architectures": [
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"T5EncoderModel"
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],
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"classifier_dropout": 0.0,
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"d_ff": 10240,
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"d_kv": 64,
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"d_model": 4096,
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"decoder_start_token_id": 0,
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"dense_act_fn": "gelu_new",
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"dropout_rate": 0.1,
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"eos_token_id": 1,
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"feed_forward_proj": "gated-gelu",
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"initializer_factor": 1.0,
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"is_encoder_decoder": true,
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"is_gated_act": true,
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"layer_norm_epsilon": 1e-06,
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"model_type": "t5",
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"neuron": {
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"auto_cast": "none",
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"auto_cast_type": "bf16",
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"compiler_type": "neuronx-cc",
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"compiler_version": "2.16.372.0+4a9b2326",
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"dynamic_batch_size": false,
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"inline_weights_to_neff": true,
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"input_names": [
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"input_ids",
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"attention_mask"
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],
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"model_type": "t5",
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"optlevel": "2",
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"output_attentions": false,
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"output_hidden_states": false,
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"output_names": [
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"last_hidden_state"
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],
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"static_batch_size": 1,
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"static_sequence_length": 120,
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"tensor_parallel_size": 1
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},
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"num_decoder_layers": 24,
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"num_heads": 64,
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"num_layers": 24,
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"output_past": true,
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"pad_token_id": 0,
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"relative_attention_max_distance": 128,
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"relative_attention_num_buckets": 32,
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"task": "feature-extraction",
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"tie_word_embeddings": false,
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"torch_dtype": "float32",
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"torchscript": true,
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"transformers_version": "4.49.0",
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"use_cache": true,
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"vocab_size": 32128
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}
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