falcon:40b-text-q8_0

falcon

一个由技术创新研究所 (TII) 构建的大型语言模型，用于摘要、文本生成和聊天机器人。

7b 40b 180b

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14个月前更新

14个月前

3573ccb06045 · 44GB

自述文件

Falcon 是一个由技术创新研究所 (TII) 构建的高性能大型语言模型家族，该研究所是阿布扎比政府先进技术研究委员会的一部分，负责监督技术研究。

命令行界面

ollama run falcon "Why is the sky blue?"

API

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

参数数量

参数数量	推荐内存
70亿	8GB	查看	`ollama run falcon:7b`
400亿	32GB	查看	`ollama run falcon:40b`
1800亿	192GB	查看	`ollama run falcon:180b`

变体


`聊天`	聊天模型在包含多个大型对话数据集的混合聊天和指令数据集上进行了微调。
`指令`	指令模型遵循指令，并在baize 指令数据集上进行了微调。
`文本`	文本模型是没有任何对话微调的基础模型，最适合用于简单的文本补全。

Falcon 180B

截至2023年9月，1800亿参数模型 Falcon 180B 是性能最佳的公开发布的LLM。它的性能介于 OpenAI 的 GPT 3.5 和 GPT 4 之间。运行 Falcon 180B 需要推荐使用至少具有 192GB 总内存的强大系统。

注意：Falcon 180B 使用与较小型号不同的许可证发布，该许可证在某些条件下限制商业用途。有关更多信息，请参阅模型详情和许可证。

更多信息

Falcon is a family of high-performing large language models model built by the Technology Innovation Institute (TII), a research center part of Abu Dhabi government’s advanced technology research council overseeing technology research.

### CLI

```
ollama run falcon "Why is the sky blue?"
```

### API

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

## Parameter counts
| Parameter Count | Recommended memory |                              |                          |
| --------------- | ------------------ | ---------------------------- | ------------------------ |
| 7 billion       | 8GB               | [View](/library/falcon:7b)   | `ollama run falcon:7b`   |
| 40 billion      | 32GB               | [View](/library/falcon:40b)  | `ollama run falcon:40b`  |
| 180 billion     | 192GB              | [View](/library/falcon:180b) | `ollama run falcon:180b` |

## Variations

|            |                                                                                                                                    |
| ---------- | ---------------------------------------------------------------------------------------------------------------------------------- |
| `chat`     | Chat models are fine-tuned on chat and instruction datasets with a mix of several large-scale conversational datasets.             |
| `instruct` | Instruct models follow instructions and are fine-tuned on the [baize](https://www.google.com/search?q=baize+dataset&oq=baize+data&aqs=chrome.0.0i512j69i57j0i10i15i22i30i625j0i390i650.1387j0j7&sourceid=chrome&ie=UTF-8) instructional dataset.                                                     |
| `text`     | Text models are the base foundation model without any fine-tuning for conversations, and are best used for simple text completion. |

## Falcon 180B

As of September 2023, the 180 billion parameter model, Falcon 180B, is the best-performing openly released LLM. It sits somewhere in between OpenAI's GPT 3.5 and GPT 4. For running Falcon 180B, a powerful system is recommended with at least 192GB of total memory.

> Note: Falcon 180B is released under a different license than its smaller siblings that restricts commercial use under certain conditions. See the [model details](/library/falcon:180b) and license for more information.

## More information

* [TII's website](https://www.tii.ae/)
* [Falcon 180B announcement](https://falconllm.tii.ae)
* [TII on HuggingFace](https://hugging-face.cn/tiiuae)

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