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README.md

@@ -1,3 +1,50 @@
----
-license: gemma
----
+---
+license: gemma
+language:
+- ja
+- en
+base_model:
+- google/codegemma-7b-it
+pipeline_tag: text-generation
+tags:
+- gemma
+- codegemma
+- transformer
+- instruction-tuned
+- multilingual
+- uncensored
+- non-censored
+- unfiltered
+---
+
+
+# 🚀 Tema_Q-R2.0-Code
+
+## 🔥 モデル概要
+
+**Tema_Q-R2.0-Code（天馬求）** は、Googleが開発した高性能なオープンモデル **CodeGemma 7B** を基盤にした、**コードライティングに特化した**改良版大規模言語モデル（LLM）です。
+
+通常のGemma 2では回答が難しいプロンプトに対しても、より自由で有用な応答を生成できるよう設計されています。クリエイティブなプログラミング、複雑なコードライティング、ディープな知識探求など、コード生成の分野でAIの可能性を最大限に引き出したいユーザーに最適です。
+
+**Tema_Q-R2.0-Code** is an improved large-scale language model (LLM) specialized for code writing, based on CodeGemma 7B, a high-performance open model developed by Google.
+
+It is designed to generate more flexible and useful responses to prompts that are difficult to answer using the standard Gemma 2. It is ideal for users who want to maximize the potential of AI in the field of code generation, such as creative programming, complex code writing, and deep knowledge exploration.
+
+
+| 項目 | 詳細 |
+| :--- | :--- |
+| **ベースモデル** | Google CodeGemma 7B |
+| **モデル名** | Tema_Q-R2.0-Code |
+| **対応言語** | 日本語 (JA), 英語 (EN) |
+| **モデルサイズ** | 7 Billion Parameters |
+| **ライセンス** | Gemma のライセンスに準拠 |
+| **開発** | KY, TY, HY, KK |
+
+---
+
+## 🛡️ 責任あるAI利用と学習データの安全性
+
+### ⚠️ 責任ある利用の徹底
+
+* **ユーザーの責任**: モデルの利用者は、生成されたコンテンツが、適用される**法律、規制、およびHugging Faceの利用規約/コンテンツポリシーに準拠**することを**全面的に保証**する必要があります。
+* **禁止事項**: このモデルを、いかなる**差別、ハラスメント、暴力、違法行為、および有害な目的**のために利用することを**固く禁じます**。

config.json

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+  ],
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+  "attention_dropout": 0.0,
+  "bos_token_id": 2,
+  "eos_token_id": 1,
+  "head_dim": 256,
+  "hidden_activation": "gelu_pytorch_tanh",
+  "hidden_size": 3072,
+  "initializer_range": 0.02,
+  "intermediate_size": 24576,
+  "max_position_embeddings": 8192,
+  "model_type": "gemma",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 16,
+  "pad_token_id": 0,
+  "rms_norm_eps": 1e-06,
+  "rope_theta": 10000.0,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.39.3",
+  "use_cache": true,
+  "vocab_size": 256000
+}

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