codeup:13b-llama2-chat-q5_K_S

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操作。要下载模型而不运行它，请使用ollama pull codeup

内存需求

130亿参数的模型通常至少需要16GB的RAM

如果您在使用更高的量化级别时遇到问题，请尝试使用q4模型或关闭任何其他正在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后面的数字表示用于量化的位数（例如，q4表示4位量化）。数字越大，模型精度越高，但运行速度越慢，内存需求也越大。

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

130亿参数来源：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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