Instructions to use XiaomiMiMo/MiMo-7B-RL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use XiaomiMiMo/MiMo-7B-RL with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="XiaomiMiMo/MiMo-7B-RL", trust_remote_code=True)
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("XiaomiMiMo/MiMo-7B-RL", trust_remote_code=True, device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use XiaomiMiMo/MiMo-7B-RL with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "XiaomiMiMo/MiMo-7B-RL"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "XiaomiMiMo/MiMo-7B-RL",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/XiaomiMiMo/MiMo-7B-RL

SGLang

How to use XiaomiMiMo/MiMo-7B-RL with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "XiaomiMiMo/MiMo-7B-RL" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "XiaomiMiMo/MiMo-7B-RL",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "XiaomiMiMo/MiMo-7B-RL" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "XiaomiMiMo/MiMo-7B-RL",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use XiaomiMiMo/MiMo-7B-RL with Docker Model Runner:
```
docker model run hf.co/XiaomiMiMo/MiMo-7B-RL
```

[Add] `tokenizer_class` in config to make it usable by the `pipeline` API

#10

by ariG23498 HF Staff - opened May 12, 2025

base: refs/heads/main

←

from: refs/pr/10

Discussion Files changed

-0

ariG23498

May 12, 2025

•

edited May 12, 2025

Hey team!

Thanks for open sourcing this model.

I have added the tokenizer_class in the configuration so that we can make it compatible with the pipeline API as well. With the changes in place you would be able to use the model like so:

from transformers.pipelines import pipeline
import torch

messages = [
    {"role": "user", "content": "Who are you?"},
]

pipe = pipeline(
    "text-generation",
    model="XiaomiMiMo/MiMo-7B-RL",
    trust_remote_code=True,
    torch_dtype=torch.bfloat16,
    device_map="auto"
)
print(pipe(messages))

Adding tokenizer class for the `pipeline` API to use the tokenizer0053e72c

bwshen-mi changed pull request title from Adding tokenizer class for the `pipeline` API to use the tokenizer to [Add] `tokenizer_class` in config to make it usable by the `pipeline` API May 13, 2025

bwshen-mi changed pull request status to merged May 13, 2025

bwshen-mi

Xiaomi MiMo org May 13, 2025

@ariG23498 Thank you for your efforts. I have a small question here.

In tokenizer_config.json, the value of tokenizer_class is a str "Qwen2Tokenizer", but here in config.json, it's a list[str]. Do we need to use same value type of tokenizer_class?

ariG23498

May 13, 2025

I don't think there is a need. But if there is any issue that you find do let me know and I will investigate further.

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