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This model card corresponds to the 2B base version of the Gemma model.

Model Details

Model Description

This is a additional pretrained model with 6M token.

  • Developed by: [email protected] / [email protected]
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  • Finetuned from model [optional]: Korean/English

Uses

model = AutoModelForCausalLM.from_pretrained( model_path, vocab_size=len(tokenizer), torch_dtype = torch.float16, use_cache=False, #attn_implementation="flash_attention_2", device_map="auto")

Direct Use

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Downstream Use [optional]

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Out-of-Scope Use

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Bias, Risks, and Limitations

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Recommendations

Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

How to Get Started with the Model

Use the code below to get started with the model.

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Training Details

Training Data

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Training Procedure

Preprocessing [optional]

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Training Hyperparameters

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Speeds, Sizes, Times [optional]

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Evaluation

Testing Data, Factors & Metrics

Testing Data

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Factors

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Metrics

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Results

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Summary

Model Examination [optional]

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Environmental Impact

Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

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Technical Specifications [optional]

Model Architecture and Objective

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Compute Infrastructure

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Hardware

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Software

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Citation [optional]

BibTeX:

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APA:

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Glossary [optional]

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Model Card Authors [optional]

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Model Card Contact

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