---
title: Step-3.5-Flash-8Bit-test2
canonical_url: "https://www.modelscope.cn/models/mlx-community/Step-3.5-Flash-8Bit-test2"
md_url: "https://www.modelscope.cn/models/mlx-community/Step-3.5-Flash-8Bit-test2.md"
repository: mlx-community/Step-3.5-Flash-8Bit-test2
last_updated: 2026-02-04
license: apache-2.0
pipeline_tag: text-generation
tasks:
  - text-generation
model_type:
  - step3p5
architectures:
  - Step3p5ForCausalLM
base_model:
  - stepfun-ai/Step-3.5-Flash
base_model_relation: quantized
parameters: 52.8B
tensor_type:
  - BF16
  - U32
  - F32
library_name:
  - mlx
  - safetensors
  - pytorch
frameworks:
  - pytorch
downloads: 18
stars: 0
tags:
  - mlx
---

# Step-3.5-Flash-8Bit-test2

> Step-3.5-Flash-8Bit-test2 - mlx-community 在 ModelScope 开源的模型。mlx-community/Step-3.5-Flash-8bit

mlx-community/Step-3.5-Flash-8Bit-test2 是 ModelScope 魔搭社区上的 52.8B 参数text-generation模型，采用 apache-2.0 许可，基于 stepfun-ai/Step-3.5-Flash 构建。

- **Repository**: mlx-community/Step-3.5-Flash-8Bit-test2
- **License**: apache-2.0
- **Tasks**: text-generation
- **Parameters**: 52.8B
- **Base model**: stepfun-ai/Step-3.5-Flash
- **Tags**: mlx
- **Downloads**: 18
- **Stars**: 0
- **Last updated**: 2026-02-04

Source: https://www.modelscope.cn/models/mlx-community/Step-3.5-Flash-8Bit-test2

---

# mlx-community/Step-3.5-Flash-8bit

The Model [mlx-community/Step-3.5-Flash-8bit](https://huggingface.co/mlx-community/Step-3.5-Flash-8bit) was converted to MLX format from [stepfun-ai/Step-3.5-Flash](https://huggingface.co/stepfun-ai/Step-3.5-Flash) using mlx-lm version **0.30.6**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/Step-3.5-Flash-8bit")

prompt="hello"

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

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