codeup:13b-llama2-chat-q2_K

curl -X POST http://localhost: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: 如果尚未下载该模型，则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 模型通常需要至少 16GB 的 RAM

如果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占用大量内存的程序。

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 之后的数字表示用于量化的位数（即 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来源

13b 参数来源: DeepSE

参考

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 http://localhost: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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