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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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+---
+library_name: transformers
+license: other
+license_name: gemma-terms-of-use
+license_link: https://ai.google.dev/gemma/terms
+language:
+- ko
+- en
+tags:
+- korean
+- gemma
+- pytorch
+pipeline_tag: text-generation
+base_model:
+- google/gemma-7b-it
+---
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/6332f1a52b866de639ee0279/jYH2isQRcP7LQfydwbOj_.png)
+
+# Gemma Ko 7B Instruct v0.40
+
+- Eval Loss: `1.222`
+- lr: `1.5e-5`
+- optimizer: adamw
+- lr_scheduler_type: cosine
+
+## Model Details
+
+### Model Description
+
+The Gemma 7B Ko Instruct v0.40 model is designed for generating human-like text in the Korean language.
+It can be used for a variety of natural language processing tasks, such as language translation, text summarization, question answering, and conversation generation.
+This model is particularly well-suited for applications that require high-quality, coherent, and contextually relevant Korean text generation.
+
+- **Developed by:** `lemon-mint`
+- **Model type:** Gemma
+- **Language(s) (NLP):** Korean, English
+- **License:** [gemma-terms-of-use](https://ai.google.dev/gemma/terms)
+- **Finetuned from model:** [google/gemma-7b-it](https://huggingface.co/google/gemma-7b-it)
+
+# Limitations and Ethical Considerations
+
+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.

config.json

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+  "architectures": [
+    "GemmaForCausalLM"
+  ],
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+  "model_type": "gemma",
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+  "num_key_value_heads": 16,
+  "pad_token_id": 0,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.38.2",
+  "use_cache": true,
+  "vocab_size": 256000
+}

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+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.38.2"
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special_tokens_map.json

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+    "single_word": false
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+}

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tokenizer.model

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tokenizer_config.json

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