---
title: phi-1_5
canonical_url: "https://www.modelscope.cn/models/mlx-community/phi-1_5"
md_url: "https://www.modelscope.cn/models/mlx-community/phi-1_5.md"
repository: mlx-community/phi-1_5
last_updated: 2024-12-20
license: mit
pipeline_tag: text-generation
tasks:
  - text-generation
model_type:
  - phi
architectures:
  - PhiForCausalLM
parameters: 1.4B
tensor_type:
  - F16
library_name:
  - mlx
  - safetensors
  - pytorch
frameworks:
  - pytorch
language:
  - en
inference_backends:
  - "deploy_task text/emb"
  - "sglang 0.5.2"
  - "vllm 0.9.2"
downloads: 995
stars: 0
tags:
  - nlp
  - code
  - mlx
---

# phi-1_5

> phi-1_5 - mlx-community 在 ModelScope 开源的模型。mlx-community/phi-15

mlx-community/phi-1_5 是 ModelScope 魔搭社区上的 1.4B 参数text-generation模型，采用 mit 许可，可用 deploy_task text/emb、sglang 0.5.2、vllm 0.9.2 部署。

- **Repository**: mlx-community/phi-1_5
- **License**: mit
- **Tasks**: text-generation
- **Parameters**: 1.4B
- **Inference backends**: deploy_task text/emb, sglang 0.5.2, vllm 0.9.2
- **Tags**: nlp, code, mlx
- **Downloads**: 995
- **Stars**: 0
- **Last updated**: 2024-12-20

Source: https://www.modelscope.cn/models/mlx-community/phi-1_5

---

# mlx-community/phi-1_5

The Model [mlx-community/phi-1_5](https://huggingface.co/mlx-community/phi-1_5) was converted to MLX format from [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1_5) using mlx-lm version **0.16.1**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/phi-1_5")
response = generate(model, tokenizer, prompt="hello", verbose=True)
```