QWEN2本地化部署智能助理AI AGENT代码
产品亮点：
1、搭载当前SOTA的国产LLM
2、本地化部署应用，私有化数据
3、支持多轮对话及异步性能
4、支持多LLM搭载
5、可以复用底层代码
QWEN2 Localized Deployment of AI AGENT Python Code
Product Highlights:
1. Equipped with the current SOTA domestic LLM.
2. Localized deployment application, privatizing data.
3. Supports multi-turn dialogue and asynchronous performance.
4. Supports multiple LLM deployments.
5. Can reuse underlying code.
环境要求requirements:：
pip install ollama
模型介绍：
Qwen2 is trained on data in 29 languages, including English and Chinese.
It is available in 4 parameter sizes: 0.5B, 1.5B, 7B, 72B.
In the 7B and 72B models, context length has been extended to 128k tokens.
Models
| Qwen2-0.5B | Qwen2-1.5B | Qwen2-7B | Qwen2-72B |
|---|---|---|---|
| 0.49B / 0.35B / True / True / 32K | 1.54B / 1.31B / True / True / 32K | 7.07B / 5.98B / True / False / 128K | 72.71B / 70.21B / True / False / 128K |
Supported languages
This is in addition to English and Chinese
| Regions | Languages |
|---|---|
| Western Europe | German, French, Spanish, Portuguese, Italian, Dutch |
| Eastern & Central Europe | Russian, Czech, Polish |
| Middle East | Arabic, Persian, Hebrew, Turkish |
| Eastern Asia | Japanese, Korean |
| South-Eastern Asia | Vietnamese, Thai, Indonesian, Malay, Lao, Burmese, Cebuano, Khmer, Tagalog |
| Southern Asia | Hindi, Bengali, Urdu |
特别说明 / Notes:
由于不同地区可能存在网络等因素限制，以及执行本产品最终实现智能助理运行需要一定程度的技术要求，我们不能保证每一位购买此产品的都能如期地一步到位取得智能助理运行的效果。但我们乐意提供必要的协助，遇到问题请随时联系我们。
Due to possible limitations such as network factors in different regions, as well as the technical requirements for implementing the intelligent assistant operation of this product, we cannot guarantee that every purchaser of this product will achieve the desired effect of intelligent assistant operation immediately. However, we are willing to provide necessary assistance. Please feel free to contact us if you encounter any problems.
联系我们 / Contact US:
contact@orbitmoonalpha.com
退货政策 / Return policy:
本产品一经售出，不设退货退款。
Once this product is sold, there are no returns or refunds.
