---
title: h3-lora
canonical_url: "https://www.modelscope.ai/models/cooper/h3-lora"
md_url: "https://www.modelscope.ai/models/cooper/h3-lora.md"
repository: cooper/h3-lora
last_updated: 2026-08-26
license: "Apache License 2.0"
base_model:
  - MiniMax/MiniMax-H3
base_model_relation: adapter
parameters: 37.3M
tensor_type:
  - BF16
library_name:
  - lora
  - safetensors
  - pytorch
frameworks:
  - Pytorch
downloads: 29
stars: 1
tags:
  - LoRA
---

# h3-lora

> h3-lora - An open-source model by cooper on ModelScope. You are viewing the default Readme template as no detailed model-card was provided by the model’s contributors. You can access the model files in the "Files and versions" tab. Model files may be…

cooper/h3-lora is a 37.3M-parameter machine learning model on ModelScope. licensed under Apache License 2.0. derived from MiniMax/MiniMax-H3.

- **Repository**: cooper/h3-lora
- **License**: Apache License 2.0
- **Parameters**: 37.3M
- **Base model**: MiniMax/MiniMax-H3
- **Tags**: LoRA
- **Downloads**: 29
- **Stars**: 1
- **Last updated**: 2026-08-26

Source: https://www.modelscope.ai/models/cooper/h3-lora

---

### You are viewing the default Readme template as no detailed model-card was provided by the model’s contributors. You can access the model files in the "Files and versions" tab.
#### Model files may be downloaded with ModelScope SDK or through git clone directly.

Download with ModelScope’s Python SDK
```bash
#Install ModelScope
pip install modelscope
```
```python
#Download with ModelScope’s Python SDK
from modelscope import snapshot_download
model_dir = snapshot_download('cooper/h3-lora')
```
Download with Git clone
```
git clone https://www.modelscope.ai/cooper/h3-lora.git
```

<p style="color: lightgrey;">If you are a contributor to this model, we invite you to promptly update the model card content according to <a href="https://www.modelscope.ai/docs/contribute/model-integration" style="color: lightgrey; text-decoration: underline;">the model contribution documentation</a>.</p>