---
license: llama2
library_name: transformers
tags:
- code
model-index:
- name: Pandalyst_13B_v1.0
results:
- task:
type: text-generation
metrics:
- name: exec@1
type: exec@1
value: 0.71
verified: false
language:
- en
---
## Pandalyst: A large language model for mastering data analysis using pandas
🐱 Github Repo
**What is Pandalyst**
- Pandalyst is a general large language model specifically trained to process and analyze data using the pandas library.
**How is Pandalyst**
- Pandalyst has strong generalization capabilities for data tables in different fields and different data analysis needs.
**Why is Pandalyst**
- Pandalyst is open source and free to use, and its small parameter size (7B/13B) allows us to easily deploy it on local PC.
- Pandalyst can handle complex data tables (multiple columns and multiple rows), allowing us to enter enough context to describe our table in detail.
- Pandalyst has very competitive performance, significantly outperforming models of the same size and even outperforming some of the strongest closed-source models.
## News
- 🔥[2023/09/30] We released **Pandalyst-7B-V1.1** , which was trained on **CodeLlama-7b-Python** and achieves the **76.1 exec@1** in our **PandaTest_V1.0** and surpasses **Pandalyst-13B-V1.0**, **WizardCoder-Python-13B-V1.0** and **ChatGPT-3.5 (2023/06/13)**.
- 🔥[2023/09/28] We released **Pandalyst-13B-V1.0** , which was trained on **WizardCoder-Python-13B-V1.0** and achieves the **70.7 exec@1** in our **PandaTest_V1.0** and surpasses **WizardCoder-Python-13B-V1.0** and **ChatGPT-3.5 (2023/06/13)**.
| Model | Checkpoint | Base Model | PandaTest_V1.0 | EASY | HARD | License |
|--------------------|---------------------------------------------------------------------------------------------|------------|----------------|---------------------|---------------------| ----- |
| Pandalyst-13B-V1.0 | 🤗 HF Link | WizardCoder-Python-13B-V1.0 | 70.7 | 75.6 | 65.9 | Llama2 |
| Pandalyst-7B-V1.1 | 🤗 HF Link | CodeLlama-7b-Python | 76.1 | 85.2 | 67.0 | Llama2 |
## Usage and Human evaluation
Please refer to Github.