Text Generation
Safetensors
Japanese
English
Chinese
gemma2
transformer
instruction-tuned
multilingual
uncensored
non-censored
unfiltered
GGUF
conversational
Instructions to use temaq-org/Tema_Q-R3.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Inference
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README.md
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- uncensored
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- non-censored
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- unfiltered
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---
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It is designed to generate more flexible and useful responses, even for prompts that the standard Gemma 2 might find challenging to answer. It is ideal for users who wish to maximize the potential of AI in all fields, including creative writing, complex programming tasks, and deep knowledge exploration.
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GGUFファイルは以下より入手できます。
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https://huggingface.co/kawasumi/Tema_Q-R3.1
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| 項目 | 詳細 |
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| :--- | :--- |
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※ **推奨環境:** Google Colabの**T4 GPU**またはそれ以上のVRAMを持つ環境
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```python
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# 必要なライブラリをインストールします
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!pip install -qU transformers accelerate bitsandbytes
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- uncensored
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- non-censored
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- unfiltered
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- GGUF
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---
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It is designed to generate more flexible and useful responses, even for prompts that the standard Gemma 2 might find challenging to answer. It is ideal for users who wish to maximize the potential of AI in all fields, including creative writing, complex programming tasks, and deep knowledge exploration.
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GGUFファイルは以下より入手できます。
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https://huggingface.co/kawasumi/Tema_Q-R3.1-GGUF
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| 項目 | 詳細 |
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| :--- | :--- |
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※ **推奨環境:** Google Colabの**T4 GPU**またはそれ以上のVRAMを持つ環境
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※GGUFからアクセスした方が高速かつ安定した推論が可能です。GGUFモデル配布ページに迂回してください。
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```python
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# 必要なライブラリをインストールします
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!pip install -qU transformers accelerate bitsandbytes
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