name: Bad Case Report of the model
description: Report a bug related to the model to help us reproduce and fix the problem.
title: "[BadCase about the model]: "
body:
- type: markdown
attributes:
value: |
Thank you for contributing to our project by reporting a bad case! To help us understand and resolve the issue as quickly as possible, please provide the following details.
- type: input
id: models-used
attributes:
label: Basic Information - Models Used
description: |
Please list the model used, e.g., MiniMax-M1, speech-02-hd, etc.
(Note: You can refer to our models at [HuggingFace](https://huggingface.co/MiniMaxAI) or [the official site](https://www.minimax.io/platform_overview) for more details.)
placeholder: "ex: MiniMax-M1"
validations:
required: true
- type: input
id: scenario-description
attributes:
label: Basic Information - Scenario Description
description: |
Please briefly describe the scenario, including the framework or the platform.
placeholder: "ex: Minimax-M1 return the error related to xxx."
validations:
required: false
- type: checkboxes
id: problem-validation
attributes:
label: Is this badcase known and solvable?
options:
- label: "I have followed the [GitHub README](https://github.com/MiniMax-AI) of the model and found no duplicates in existing issues."
required: true
- label: "I have checked [Minimax documentation](https://www.minimax.io/platform_overview) and found no solution."
required: true
- type: textarea
id: environment-info
attributes:
label: Information about environment
description: |
(Include software versions, OS, GPUs if applicable)
placeholder: |
For example:
- OS: Ubuntu 24.04
- Python: Python 3.11
- PyTorch: 2.6.0+cu124
validations:
required: true
- type: textarea
id: call-execution-info # Consolidated field for call type and details
attributes:
label: Call & Execution Information
description: |
Please describe how you are interacting with the model and provide the relevant details in the box below:
**Call Type**: (e.g., API Call, Deployment Call)
**If API Call**: Please provide the `trace-ID` of the problematic request.
**If Deployment Call**: Please provide the command used for deployment or inference.
placeholder: |
# Example for API Call:
Call Type: API Call
Trace-ID: abcdef1234567890
# Example for Deployment Call:
Call Type: Deployment Call
Deployment Command: python run_inference.py --model my_model --config config.yaml
validations:
required: true
- type: textarea
id: description-of-bug
attributes:
label: Description
description: |
Please **describe the bad case** you have encountered and **paste the screenshots** if available.
The following template is recommended (modify as needed):
value: |
### Steps to reproduce
The bug can be reproduced with the following steps:
1. ...
2. ...
### Expected behavior
The results are expected to be: ...
### Actual behavior
The actual outputs are as follows: ...
### Error logs
The error logs are as follows:
```
# Paste the related screenshots here
```
validations:
required: true