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Model: lemon-mint/gemma-ko-7b-it-v0.40 Source: Original Platform
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README.md
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README.md
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---
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library_name: transformers
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license: other
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license_name: gemma-terms-of-use
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license_link: https://ai.google.dev/gemma/terms
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language:
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- ko
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- en
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tags:
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- korean
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- gemma
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- pytorch
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pipeline_tag: text-generation
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base_model:
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- google/gemma-7b-it
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---
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# Gemma Ko 7B Instruct v0.40
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- Eval Loss: `1.222`
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- lr: `1.5e-5`
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- optimizer: adamw
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- lr_scheduler_type: cosine
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## Model Details
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### Model Description
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The Gemma 7B Ko Instruct v0.40 model is designed for generating human-like text in the Korean language.
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It can be used for a variety of natural language processing tasks, such as language translation, text summarization, question answering, and conversation generation.
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This model is particularly well-suited for applications that require high-quality, coherent, and contextually relevant Korean text generation.
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- **Developed by:** `lemon-mint`
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- **Model type:** Gemma
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- **Language(s) (NLP):** Korean, English
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- **License:** [gemma-terms-of-use](https://ai.google.dev/gemma/terms)
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- **Finetuned from model:** [google/gemma-7b-it](https://huggingface.co/google/gemma-7b-it)
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# Limitations and Ethical Considerations
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As Gemma Ko 7B has been trained on extensive web data, biases present in the training data may be reflected in the model. Additionally, there is a possibility that it may generate sentences containing errors or incorrect information. Therefore, rather than blindly trusting the model's output, it is necessary to refer to it with caution.
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config.json
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}
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34
special_tokens_map.json
Normal file
34
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Normal file
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{
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3
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Normal file
3
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3
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Normal file
3
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Normal file
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77
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Normal file
77
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Normal file
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|
||||
"stride": 0,
|
||||
"tokenizer_class": "GemmaTokenizer",
|
||||
"truncation_side": "right",
|
||||
"truncation_strategy": "longest_first",
|
||||
"unk_token": "<unk>",
|
||||
"use_default_system_prompt": false
|
||||
}
|
||||
Reference in New Issue
Block a user