codeup:13b-llama2-chat-q4_1

curl -X POST https://127.0.0.1:11434/api/generate -d '{
  "model": "codeup",
  "prompt":"Write a C++ code to find the longest common substring in two strings."
 }'

CLI

安装Ollama
打开终端并运行 `ollama run codeup`

注意：如果模型尚未下载，`ollama run` 命令会执行 `ollama pull`。要下载模型而不运行它，请使用 `ollama pull codeup`

内存需求

13b模型通常至少需要16GB内存

如果您在使用较高量化级别时遇到问题，请尝试使用q4模型或关闭任何其他使用大量内存的程序。

模型变体

默认情况下，Ollama使用4位量化。要尝试其他量化级别，请尝试其他标签。q后面的数字代表用于量化的位数（例如，q4表示4位量化）。数字越大，模型越准确，但运行速度越慢，需要的内存也越多。

别名
latest, 13b, 13b-llama2, 13b-llama2-chat, 13b-llama2-chat-q4_0

模型来源

Ollama上的CodeUp源代码

13b参数来源：DeepSE

参考文献

CodeUp的GitHub仓库

CodeUp was released by DeepSE. It is based on Llama 2 from Meta, and then fine-tuned for better code generation. This allows it to write better code in a number of languages..

## Get started with CodeUp

The model used in the example below is the CodeUp model, with 13b parameters, which is a code generation model.

### API

1. Start Ollama server (Run `ollama serve`)
2. Run the model

```bash
curl -X POST https://127.0.0.1:11434/api/generate -d '{
  "model": "codeup",
  "prompt":"Write a C++ code to find the longest common substring in two strings."
 }'
  ```

### CLI

1. Install Ollama
2. Open the terminal and run `ollama run codeup`

Note: The `ollama run` command performs an `ollama pull` if the model is not already downloaded. To download the model without running it, use `ollama pull codeup`

## Memory requirements

- 13b models generally require at least 16GB of RAM

If you run into issues with higher quantization levels, try using the q4 model or shut down any other programs that are using a lot of memory.

## Model variants

By default, Ollama uses 4-bit quantization. To try other quantization levels, please try the other tags. The number after the q represents the number of bits used for quantization (i.e. q4 means 4-bit quantization). The higher the number, the more accurate the model is, but the slower it runs, and the more memory it requires.

| **Aliases** |
| --- |
| latest, 13b, 13b-llama2, 13b-llama2-chat, 13b-llama2-chat-q4_0 |

## Model source

**CodeUp source on Ollama**

13b parameters source:
 [DeepSE](https://hugging-face.cn/deepse/CodeUp-Llama-2-13b-chat-hf)

## References

[GitHub Repo for CodeUp](https://github.com/juyongjiang/CodeUp#papers )

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