# Qwen Models

This page provides detailed technical specifications for the Qwen model family supported by {{ncm_short_name}}. For information about supported features and capabilities, refer to [Tested Models](index.md).

## Qwen2.5-1.5B-Instruct

| Property | Value |
|----------|--------|
| Creator | Alibaba Cloud |
| Architecture | transformer |
| Description | Qwen2.5-1.5B-Instruct is a compact, instruction-tuned model from the Qwen2.5 series designed for efficient customization and deployment. |
| Max I/O Tokens | 4096 |
| Parameters | 1.5 billion |
| Training Data | Not specified |
| Default Name | Qwen/Qwen2.5-1.5B-Instruct |
| HuggingFace | [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct) |

### Training Options

- **LoRA**: 1x 80GB GPU, tensor parallel size 1
- **Full SFT**: 1x 80GB GPU, tensor parallel size 1

### Deployment Configuration

- **LoRA**:
 - NIM Image: `nvcr.io/nim/nvidia/llm-nim:1.15.5`
 - GPU Count: 1x 80GB
- **Full SFT**:
 - NIM Image: `nvcr.io/nim/nvidia/llm-nim:1.15.5`
 - GPU Count: 1x 80GB
 - Additional Environment Variables:
 - `NIM_MODEL_PROFILE`: `vllm`

## Qwen3-0.6B

| Property | Value |
|----------|--------|
| Creator | Alibaba Cloud |
| Architecture | transformer |
| Description | Qwen3-0.6B is a lightweight model from the Qwen3 series, suitable for resource-constrained environments and rapid experimentation. |
| Max I/O Tokens | 4096 |
| Parameters | 0.6 billion |
| Training Data | Not specified |
| Default Name | Qwen/Qwen3-0.6B |
| HuggingFace | [Qwen/Qwen3-0.6B](https://huggingface.co/Qwen/Qwen3-0.6B) |

### Training Options

- **LoRA**: 1x 80GB GPU, tensor parallel size 1
- **Full SFT**: 1x 80GB GPU, tensor parallel size 1

### Deployment Configuration

- **LoRA**:
 - NIM Image: `nvcr.io/nim/nvidia/llm-nim:1.15.5`
 - GPU Count: 1x 80GB
- **Full SFT**:
 - NIM Image: `nvcr.io/nim/nvidia/llm-nim:1.15.5`
 - GPU Count: 1x 80GB
 - Additional Environment Variables:
 - `NIM_MODEL_PROFILE`: `vllm`
