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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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+ 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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+ # SMAUGZILLA-77B
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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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+ The base model was [Smaug-72](https://huggingface.co/abacusai/Smaug-72B-v0.1).
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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 passthrough 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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+ * /home/ubuntu/nvm/smaug
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+ * /home/ubuntu/nvm/minismaug
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+
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+
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+
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+
config.json ADDED
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+ {
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+ "_name_or_path": "/home/ubuntu/smaug",
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+ "architectures": [
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+ "LlamaForCausalLM"
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+ ],
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+ "attention_bias": true,
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+ "attention_dropout": 0.0,
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+ "bos_token_id": 1,
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+ "eos_token_id": 151643,
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+ "hidden_act": "silu",
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+ "hidden_size": 8192,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 24576,
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+ "max_position_embeddings": 32768,
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+ "model_type": "llama",
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+ "num_attention_heads": 64,
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+ "num_hidden_layers": 85,
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+ "num_key_value_heads": 64,
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+ "pad_token_id": 151643,
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+ "pretraining_tp": 1,
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+ "rms_norm_eps": 1e-06,
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+ "rope_scaling": null,
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+ "rope_theta": 1000000,
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+ "seq_length": 32768,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "float16",
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+ "transformers_version": "4.38.1",
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+ "use_cache": true,
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+ "vocab_size": 152064
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+ }
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+ dtype: float16
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+ merge_method: passthrough
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+ slices:
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+ - sources:
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+ - layer_range: [0, 69]
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+ model:
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+ model:
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+ path: /home/ubuntu/nvm/smaug
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+ - sources:
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+ - layer_range: [8, 24]
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+ model:
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+ model:
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+ path: /home/ubuntu/nvm/minismaug
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vocab.json ADDED
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