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  1. config.json +86 -0
  2. pytorch_model.bin +3 -0
config.json ADDED
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+ {
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+ "aib_version": "",
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+ "training_dataset": "",
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+ "training_timestamp": "Mon Jan 1 00:46:42 2024",
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+ "training_comments": "shared_LLaMa-1.3B",
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+ "vocab_size": 32000,
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+ "max_position_embeddings": 2048,
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+ "hidden_size": 2048,
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+ "intermediate_size": 5632,
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+ "num_hidden_layers": 22,
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+ "num_attention_heads": 32,
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+ "num_key_value_heads": 4,
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+ "hidden_act": "silu",
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+ "initializer_range": 0.02,
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+ "rms_norm_eps": 1e-05,
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+ "pretraining_tp": 1,
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+ "use_cache": true,
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+ "rope_theta": 10000.0,
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+ "rope_scaling": null,
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+ "attention_bias": false,
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+ "return_dict": true,
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+ "output_hidden_states": false,
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+ "output_attentions": false,
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+ "torchscript": false,
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+ "torch_dtype": "float32",
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+ "tf_legacy_loss": false,
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+ "pruned_heads": {},
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+ "tie_word_embeddings": false,
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+ "is_encoder_decoder": false,
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+ "is_decoder": false,
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+ "cross_attention_hidden_size": null,
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+ "add_cross_attention": false,
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+ "tie_encoder_decoder": false,
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+ "max_length": 20,
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+ "min_length": 0,
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+ "do_sample": false,
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+ "early_stopping": false,
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+ "num_beams": 1,
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+ "num_beam_groups": 1,
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+ "diversity_penalty": 0.0,
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+ "temperature": 1.0,
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+ "top_k": 50,
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+ "top_p": 1.0,
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+ "typical_p": 1.0,
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+ "repetition_penalty": 1.0,
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+ "forced_bos_token_id": null,
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+ "remove_invalid_values": false,
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+ "exponential_decay_length_penalty": null,
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+ "suppress_tokens": null,
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+ "begin_suppress_tokens": null,
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+ "architectures": [
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+ "LlamaForCausalLM"
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+ ],
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+ "finetuning_task": null,
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+ "id2label": {
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+ "0": "LABEL_0",
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+ "1": "LABEL_1"
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+ },
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+ "tokenizer_class": null,
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+ "problem_type": null,
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+ "_name_or_path": "TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T",
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+ "transformers_version": "4.35.2",
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+ "model_type": "llama",
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+ "trained": "custom training"
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+ }
pytorch_model.bin ADDED
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