orca2:13b-q5_1

orca2

Orca 2 由 Microsoft research 建構，是 Meta 的 Llama 2 模型的微調版本。此模型旨在特別擅長推理。

7b 13b

61.2K Pulls 已更新 14 個月前

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已更新於 14 個月前

14 個月前

3a321577ac7e · 9.8GB

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

82B

範本

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

106B

系統

您是 Orca，是由微軟建立的 AI 語言模型。您是一位謹慎的助理。您仔細地

215B

授權條款

MICROSOFT RESEARCH 授權條款如果您居住在美國，請閱讀「BINDING ARBIT

11kB

自述檔案

Orca 2 模型由 Microsoft Research 建構。它們在 Meta 的 Llama 2 上進行微調，使用合成資料集，該資料集旨在增強小型模型的推理能力。所有合成訓練資料均已使用 Microsoft Azure 內容篩選器進行審核。

使用案例

Orca 2 是一位有用的助手，可在諸如推理給定資料、閱讀理解、數學問題解決和文本摘要等任務中提供答案。

該模型旨在特別擅長推理。

Microsoft Research 對此模型的預期目的是鼓勵進一步研究小型語言模型的開發、評估和對齊。

CLI

70 億參數模型

ollama run orca2

130 億參數模型

ollama run orca2:13b

API

範例

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

參考文獻

Microsoft Research 公告部落格
Microsoft Research 發表的論文，Orca 2：教導小型語言模型如何推理

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 https://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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