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README.md CHANGED
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  ---
 
 
 
 
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  license: apache-2.0
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ base_model: []
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+ tags:
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+ - mergekit
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+ - merge
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  license: apache-2.0
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  ---
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+ This is a corrected merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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+
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+ More descriptions of the model will be added soon.
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+
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+ ### **Loading the Model**
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+
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+ Use the following Python code to load the model:
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+
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+ ```python
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+ import torch
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+ from transformers import MistralForCausalLM, AutoTokenizer
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+
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+ model = MistralForCausalLM.from_pretrained("vanillaOVO/correction_1", device_map="auto")
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+ tokenizer = AutoTokenizer.from_pretrained("vanillaOVO/correction_1")
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+ ```
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+
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+ ### **Generating Text**
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+
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+ To generate text, use the following Python code:
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+
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+ ```python
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+ text = "Large language models are "
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+ inputs = tokenizer(text, return_tensors="pt")
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+
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+ outputs = model.generate(**inputs, max_new_tokens=256)
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+ print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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+ ```
config.json ADDED
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+ {
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+ "_name_or_path": "vanillaOVO/correction_1",
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+ "architectures": [
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+ "MistralForCausalLM"
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+ ],
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+ "attention_dropout": 0.0,
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+ "bos_token_id": 1,
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+ "eos_token_id": 2,
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+ "hidden_act": "silu",
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+ "hidden_size": 4096,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 14336,
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+ "max_position_embeddings": 32768,
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+ "model_type": "mistral",
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+ "num_attention_heads": 32,
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+ "num_hidden_layers": 32,
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+ "num_key_value_heads": 8,
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+ "rms_norm_eps": 1e-05,
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+ "rope_theta": 10000.0,
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+ "sliding_window": 4096,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.36.2",
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+ "use_cache": false,
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+ "vocab_size": 32000
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+ }
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