orca2:13b-q8_0 - Ollama 框架

orca2

Orca 2 由 Microsoft Research 构建，是对 Meta 的 Llama 2 模型进行微调的版本。该模型旨在特别擅长推理。

7b 13b

63.8K 下载次数更新于 15 个月前

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15 个月前更新

15 个月前

4e9ddd77d77f · 14GB

{ "num_ctx": 4096, "stop": [ "<|im_start", "<|im_end", "|im_start",

82B

模板

<|im_start|>system {{ .System }}<|im_end|> <|im_start|>user {{ .Prompt }}<|im_end|> <|im_start|>assi

106B

系统

您是 Orca，是由 Microsoft 创建的 AI 语言模型。您是一位谨慎的助手。您小心翼翼地

215B

许可证

MICROSOFT RESEARCH 许可条款如果您居住在美国，请阅读“有约束力的仲裁

11kB

自述文件

Orca 2 模型由 Microsoft Research 构建。它们是在 Meta 的 Llama 2 上进行微调，使用合成数据集来增强小型模型的推理能力。所有合成训练数据均已使用 Microsoft Azure 内容过滤器进行审核。

使用场景

Orca 2 是一个有用的助手，可以在诸如推理给定数据、阅读理解、数学问题解决和文本摘要等任务中提供答案。

该模型旨在特别擅长推理。

Microsoft Research 对此模型的预期用途是鼓励对小型语言模型的开发、评估和对齐进行进一步研究。

CLI

70 亿参数模型

ollama run orca2

130 亿参数模型

ollama run orca2:13b

API

示例

curl -X POST http://localhost:11434/api/generate -d '{
  "model": "orca2",
  "prompt":"Why is the sky blue?"
 }'

参考

Microsoft Research 公告博客
Microsoft Research 发表的论文，Orca 2：教导小型语言模型如何推理

Orca 2 models are built by Microsoft Research. They are fine-tuned on Meta's Llama 2 using a synthetic dataset that was created to enhance the small model's reasoning abilities. All synthetic training data was moderated using Microsoft Azure content filters.

### Use case

Orca 2 is a helpful assistant, and provides an answer in tasks such as reasoning over your given data, reading comprehension, math problem solving and text summarization.

The model is designed to excel particularly in reasoning.

Microsoft Research's intended purpose for this model is to encourage further research on the development, evaluation, and alignment of smaller language models.

### CLI

7 billion parameter model:

```
ollama run orca2
```

13 billion parameter model:

```
ollama run orca2:13b
```

### API

Example:

```bash
curl -X POST http://localhost:11434/api/generate -d '{
  "model": "orca2",
  "prompt":"Why is the sky blue?"
 }'
```

### References

- [Microsoft Research announcement blog](https://www.microsoft.com/en-us/research/blog/orca-2-teaching-small-language-models-how-to-reason/)

- Microsoft Research published paper, [Orca 2: Teaching Small Language Models How to Reason](https://arxiv.org/pdf/2311.11045.pdf)

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