---
title: Ornith-1.5-9B-oQ6e-mtp
canonical_url: "https://www.modelscope.cn/models/mlx-community/Ornith-1.5-9B-oQ6e-mtp"
md_url: "https://www.modelscope.cn/models/mlx-community/Ornith-1.5-9B-oQ6e-mtp.md"
repository: mlx-community/Ornith-1.5-9B-oQ6e-mtp
last_updated: 2026-09-17
model_type:
  - qwen3_5
architectures:
  - Qwen3_5ForConditionalGeneration
parameters: 2.5B
tensor_type:
  - BF16
  - U32
library_name:
  - mlx
  - safetensors
  - pytorch
frameworks:
  - pytorch
downloads: 43
stars: 0
tags:
  - mlx
  - oq
  - quantized
---

# Ornith-1.5-9B-oQ6e-mtp

> Ornith-1.5-9B-oQ6e-mtp - mlx-community 在 ModelScope 开源的模型。Ornith-1.5-9B-oQ6e-mtp

- **Repository**: mlx-community/Ornith-1.5-9B-oQ6e-mtp
- **Parameters**: 2.5B
- **Tags**: mlx, oq, quantized
- **Downloads**: 43
- **Stars**: 0
- **Last updated**: 2026-09-17

Source: https://www.modelscope.cn/models/mlx-community/Ornith-1.5-9B-oQ6e-mtp

---

# Ornith-1.5-9B-oQ6e-mtp

This model was quantized using [oQ](https://github.com/jundot/omlx) (oMLX v0.7.0.dev2) mixed-precision quantization.

## Quantization details

- **Model type**: qwen3_5
- **Bits**: 6
- **Group size**: 64
- **Format**: MLX safetensors