---
name: Model Support Request
about: Request support for a new VLM model
title: "[Model] "
labels: model-support
assignees: ''
---

## Model

- **Name**: e.g., Qwen2.5-VL-72B
- **HuggingFace ID**: e.g., `Qwen/Qwen2.5-VL-72B-Instruct`
- **MLX variant** (if available): e.g., `mlx-community/Qwen2.5-VL-72B-Instruct-4bit`

## Architecture Details

- **Family**: Qwen2.5-VL / Qwen3-VL / Gemma 3 / SmolVLM / Other
- **Parameter size**: 72B
- **Vision encoder**: ViT patch size, merge factor
- **Context window**: 128K
- **Quantized size**: ~40GB (4-bit)

## Why This Model?

What makes this model a good fit for TrioCore?

## Testing

- [ ] I have tested basic inference with this model
- [ ] I can provide benchmark results
