Wiroai Finance Gemma 9B

🚀 WiroAI-Finance-Gemma-9B

WiroAI-Finance-Gemma-9Bは強力な言語モデルです。金融知識に関して優れたサポート能力を持ち、Googleの先進的なGemmaアーキテクチャに基づき、高品質の金融データで微調整されているため、金融関連の問題をより適切に処理することができます。

🚀 クイックスタート

このモデルは、Googleの革新的なGemmaモデルファミリーを金融データで微調整したバージョンです。監督微調整（SFT）を使用して、精心選択された高品質の金融命令で訓練されています。以下に使用例を示します。

基本的な使用法

import transformers
import torch


model_id = "WiroAI/WiroAI-Finance-Gemma-9B"

pipeline = transformers.pipeline(
    "text-generation",
    model=model_id,
    model_kwargs={"torch_dtype": torch.bfloat16},
    device_map="auto",
)

pipeline.model.eval()

messages = [
    {"role": "user", "content": "How can central banks balance the trade-off between controlling inflation and maintaining economic growth, especially in an environment of high public debt and geopolitical uncertainty?"
  },
]

terminators = [
    pipeline.tokenizer.eos_token_id,
    pipeline.tokenizer.convert_tokens_to_ids("<|eot_id|>")
]

outputs = pipeline(
    messages,
    max_new_tokens=512,
    eos_token_id=terminators,
    do_sample=True,
    temperature=0.9,
)

print(outputs[0]["generated_text"][-1]['content'])

高度な使用法

Central banks face a complex challenge in balancing the objectives of controlling inflation and maintaining economic growth, particularly in the context of high public debt and geopolitical uncertainty. This delicate trade-off involves managing interest rates, monetary policy tools, and expectations to achieve price stability while avoiding the risk of recession.

One approach central banks can consider is to maintain a flexible and data-driven policy stance, utilizing advanced analytical models and real-time economic indicators. This approach involves regular monitoring of inflation trends, potential risks, and the impact of global economic developments on domestic economic conditions. For instance, the European Central Bank (ECB) has adopted a forward guidance strategy, outlining its intention to keep interest rates at their current low levels for an extended period, thereby supporting economic activity and inflation expectations.

Furthermore, central banks can employ a range of monetary policy instruments to address economic fluctuations. These tools can include changing interest rates, implementing unconventional monetary policies such as quantitative easing or negative interest rates, and providing liquidity to financial institutions. The Federal Reserve, for example, has used unconventional policies to boost economic growth by purchasing government and mortgage-backed securities and reducing interest rates to near-zero levels.

In the context of high public debt, central banks must tread cautiously, as aggressive tightening policies could potentially worsen public debt sustainability issues. One strategy is to communicate transparently with governments, financial markets, and the public to manage expectations and foster confidence in the economy. This transparent communication can help to stabilize market conditions and reduce the negative effects of uncertainty on economic growth.

Moreover, central banks can enhance their crisis preparedness by establishing contingency plans for different economic scenarios, including those related to geopolitical risks. This proactive approach can include implementing stress tests, building reserves of liquidity, and maintaining strong banking regulations to ensure financial stability.

In conclusion, central banks can navigate the trade-off between inflation control and economic growth by utilizing a flexible policy stance, deploying a range of monetary policy tools, maintaining transparent communication, and enhancing crisis preparedness. It is crucial for central banks to adapt to the specific circumstances and conditions of their respective economies, weighing the potential long-term effects of different policy options to ensure sustainable economic growth and price stability.

✨ 主な機能

• 500,000以上の高品質の金融命令で微調整されています。(Josephgflowers/Finance-Instruct-500k)
• LoRA方法を使用して微調整されており、量子化は行われていません。
• 金融専門知識に適応しています。
• Googleの最先端のGemmaアーキテクチャに基づいて構築されています。

📚 ドキュメント

このモデルは、Googleの革新的なGemmaモデルファミリーを金融データで微調整したバージョンです。監督微調整（SFT）を使用して、精心選択された高品質の金融命令で訓練されています。

📄 ライセンス

このモデルはGemmaライセンスを採用しています。使用前にライセンス条項を確認してください。

🔗 連絡とサポート

問題、提案、フィードバックがある場合は、HuggingFace上でissueを作成するか、当社のウェブサイトを通じて直接お問い合わせください。

📖 引用

@article{WiroAI,
  title={WiroAI/WiroAI-Finance-Gemma-9B},
  author={Abdullah Bezir, Furkan Burhan Türkay, Cengiz Asmazoğlu},
  year={2025},
  url={https://huggingface.co/WiroAI/WiroAI-Finance-Gemma-9B}
}