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Upload fine-tuned model

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README.md CHANGED
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- ---
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- license: mit
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ base_model:
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+ - meta-llama/Meta-Llama-3-70B
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+ library_name: transformers
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+ tags:
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+ - mergekit
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+ - merge
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+
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+ ---
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+ # merged
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+
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+ This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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+
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+ ## Merge Details
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+ ### Merge Method
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+
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+ This model was merged using the [linear](https://arxiv.org/abs/2203.05482) merge method.
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+
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+ ### Models Merged
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+
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+ The following models were included in the merge:
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+ * [meta-llama/Meta-Llama-3-70B](https://huggingface.co/meta-llama/Meta-Llama-3-70B)
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+
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+ ### Configuration
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+
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+ The following YAML configuration was used to produce this model:
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+
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+ ```yaml
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+ dtype: float16
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+ merge_method: linear
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+ slices:
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+ - sources:
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+ - layer_range: [0, 80]
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+ model: meta-llama/Meta-Llama-3-70B
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+ parameters:
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+ weight: 1.0
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+ - layer_range: [0, 80]
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+ model: meta-llama/Meta-Llama-3-70B
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+ parameters:
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+ weight: 0.3
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+ - layer_range: [0, 80]
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+ model: meta-llama/Meta-Llama-3-70B
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+ parameters:
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+ weight: 0.5
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+ ```
config.json ADDED
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+ {
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+ "_name_or_path": "bert-base-uncased",
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+ "architectures": [
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+ "BertForSequenceClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "classifier_dropout": null,
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+ "gradient_checkpointing": false,
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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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+ "initializer_range": 0.02,
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+ "intermediate_size": 3072,
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+ "layer_norm_eps": 1e-12,
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+ "max_position_embeddings": 512,
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+ "model_type": "bert",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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+ "pad_token_id": 0,
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+ "position_embedding_type": "absolute",
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.41.2",
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+ "type_vocab_size": 2,
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+ "use_cache": true,
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+ "vocab_size": 30522
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+ }
mergekit_config.yml ADDED
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+ dtype: float16
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+ merge_method: linear
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+ slices:
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+ - sources:
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+ - layer_range: [0, 80]
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+ model: meta-llama/Meta-Llama-3-70B
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+ parameters:
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+ weight: 1.0
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+ - layer_range: [0, 80]
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+ model: meta-llama/Meta-Llama-3-70B
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+ parameters:
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+ weight: 0.3
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+ - layer_range: [0, 80]
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+ model: meta-llama/Meta-Llama-3-70B
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+ parameters:
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+ weight: 0.5
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tokenizer.json ADDED
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