---
title: Orchestrator-8B-5bit
canonical_url: "https://www.modelscope.cn/models/mlx-community/Orchestrator-8B-5bit"
md_url: "https://www.modelscope.cn/models/mlx-community/Orchestrator-8B-5bit.md"
repository: mlx-community/Orchestrator-8B-5bit
last_updated: 2025-11-29
pipeline_tag: text-generation
tasks:
  - text-generation
model_type:
  - qwen3
architectures:
  - Qwen3ForCausalLM
base_model:
  - nvidia/Orchestrator-8B
base_model_relation: quantized
library_name:
  - mlx
  - safetensors
  - pytorch
frameworks:
  - pytorch
inference_backends:
  - "deploy_task text/emb"
  - "lmdeploy_turbomind 0.9.1"
  - "sglang 0.5.2"
  - "vllm 0.9.2"
downloads: 41
stars: 0
tags:
  - mlx
---

# Orchestrator-8B-5bit

> Orchestrator-8B-5bit - mlx-community 在 ModelScope 开源的模型。mlx-community/Orchestrator-8B-5bit

mlx-community/Orchestrator-8B-5bit 是 ModelScope 魔搭社区上的text-generation模型，基于 nvidia/Orchestrator-8B 构建，可用 deploy_task text/emb、lmdeploy_turbomind 0.9.1、sglang 0.5.2 部署。

- **Repository**: mlx-community/Orchestrator-8B-5bit
- **Tasks**: text-generation
- **Base model**: nvidia/Orchestrator-8B
- **Inference backends**: deploy_task text/emb, lmdeploy_turbomind 0.9.1, sglang 0.5.2, vllm 0.9.2
- **Tags**: mlx
- **Downloads**: 41
- **Stars**: 0
- **Last updated**: 2025-11-29

Source: https://www.modelscope.cn/models/mlx-community/Orchestrator-8B-5bit

---

# mlx-community/Orchestrator-8B-5bit

This model [mlx-community/Orchestrator-8B-5bit](https://huggingface.co/mlx-community/Orchestrator-8B-5bit) was
converted to MLX format from [nvidia/Orchestrator-8B](https://huggingface.co/nvidia/Orchestrator-8B)
using mlx-lm version **0.28.4**.

## Use with mlx

```bash
pip install mlx-lm
```

```python
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/Orchestrator-8B-5bit")

prompt = "hello"

if tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, add_generation_prompt=True
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)
```