---
language: en
tags:
- llm
- compression
- nanoquant
- quantization
- pruning
license: apache-2.0
datasets: []
model-index: []
---

# NanoQuant Compressed Model

## Model Description

This is a compressed version of [tencent/Hunyuan-MT-7B](https://huggingface.co/tencent/Hunyuan-MT-7B) 
created using NanoQuant, an advanced LLM compression toolkit.

## Compression Details

- **Compression Level**: medium
- **Size Reduction**: 77.0%
- **Techniques Used**: 
  - Quantization: 8bit
  - Pruning: magnitude
  - LoRA: {'r': 32, 'alpha': 32, 'dropout': 0.1}

## Deployment Options

### Option 1: Direct Usage with Transformers

```python
from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("tencent_Hunyuan-MT-7B_nanoquant_medium")
tokenizer = AutoTokenizer.from_pretrained("tencent_Hunyuan-MT-7B_nanoquant_medium")
```

### Option 2: Ollama Deployment

This model is also available for Ollama:

```bash
ollama pull nanoquant-tencent-Hunyuan-MT-7B:medium
```

## Performance Characteristics

Due to the compression, this model:
- Requires significantly less storage space
- Has faster loading times
- Uses less memory during inference
- Maintains most of the original model's capabilities

## Original Model

For information about the original model, please visit: https://huggingface.co/tencent/Hunyuan-MT-7B

## License

This model is released under the Apache 2.0 license.

## NanoQuant

NanoQuant is an advanced model compression system that achieves up to 99.95% size reduction while maintaining model performance.
Learn more at [NanoQuant Documentation](https://github.com/nanoquant/nanoquant).