orca2:7b-q4_K_S

orca2

Orca 2 由 Microsoft Research 构建，是 Meta 的 Llama 2 模型的微调版本。该模型旨在特别擅长推理。

7b 13b

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更新于 14 个月前 (Updated 14 months ago)

14 个月前 (14 months ago)

d535ef02a017 · 3.9GB

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

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template

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

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system

You are Orca, an AI language model created by Microsoft. You are a cautious assistant. You carefully

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license

MICROSOFT RESEARCH LICENSE TERMS IF YOU LIVE IN THE UNITED STATES, PLEASE READ THE “BINDING ARBIT

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Readme

Orca 2 模型由 Microsoft Research 构建。它们在 Meta 的 Llama 2 上进行了微调，使用了一个合成数据集，该数据集旨在增强小型模型的推理能力。所有合成训练数据都使用 Microsoft Azure 内容过滤器进行了审核。

用例 (Use case)

Orca 2 是一个有用的助手，可以在诸如对给定数据进行推理、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 针对此模型的预期目的是鼓励进一步研究小型语言模型的开发、评估和对齐。

CLI

70 亿参数模型 (7 billion parameter model)

ollama run orca2

130 亿参数模型 (13 billion parameter model)

ollama run orca2:13b

API

示例 (Example)

curl -X POST http://127.0.0.1:11434/api/generate -d '{
  "model": "orca2",
  "prompt":"Why is the sky blue?"
 }'

参考 (References)

Microsoft Research 发布公告博客 (Microsoft Research announcement blog)
Microsoft Research 发表的论文，《Orca 2：教小型语言模型如何推理》(Microsoft Research published paper, Orca 2: Teaching Small Language Models How to Reason)

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://127.0.0.1:11434/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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