Image-Text-to-Text
Transformers
Safetensors
qwen3_5
mimo_v2
agentic
distillation
supervised-fine-tuning
code
tool-use
conversational
Eval Results
Instructions to use XiaomiMiMo/MiMo-V2.6-Distill-Qwen-9B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use XiaomiMiMo/MiMo-V2.6-Distill-Qwen-9B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="XiaomiMiMo/MiMo-V2.6-Distill-Qwen-9B") messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] pipe(text=messages)# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("XiaomiMiMo/MiMo-V2.6-Distill-Qwen-9B") model = AutoModelForMultimodalLM.from_pretrained("XiaomiMiMo/MiMo-V2.6-Distill-Qwen-9B", device_map="auto") messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] inputs = processor.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=40) print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use XiaomiMiMo/MiMo-V2.6-Distill-Qwen-9B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "XiaomiMiMo/MiMo-V2.6-Distill-Qwen-9B" # 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-V2.6-Distill-Qwen-9B", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }'Use Docker
docker model run hf.co/XiaomiMiMo/MiMo-V2.6-Distill-Qwen-9B
- SGLang
How to use XiaomiMiMo/MiMo-V2.6-Distill-Qwen-9B 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-V2.6-Distill-Qwen-9B" \ --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-V2.6-Distill-Qwen-9B", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }'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-V2.6-Distill-Qwen-9B" \ --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-V2.6-Distill-Qwen-9B", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }' - Docker Model Runner
How to use XiaomiMiMo/MiMo-V2.6-Distill-Qwen-9B with Docker Model Runner:
docker model run hf.co/XiaomiMiMo/MiMo-V2.6-Distill-Qwen-9B
please, give PARAMS temp, top_k, top_p.. etc
👍 5
2
#12 opened 9 days ago
by
KottCh
Data Availability
#11 opened 10 days ago
by
Alicorn-Max
Add evaluation results
#9 opened 12 days ago
by
SaylorTwift
MTP support
🤝 7
4
#8 opened 12 days ago
by
darkreaperboy
Non-stop running in llama.cpp
1
#7 opened 12 days ago
by
bpool
Tool calls and reasoning not reliable on llama.cpp (fix provided)
👍❤️ 18
8
#6 opened 12 days ago
by
coder543
maple ternary model finetuning?
❤️ 2
#5 opened 13 days ago
by
rodrigomt
Clarification: MiMo reasoning boundary can leak literal </think> into content with the upstream template (BF16)
#4 opened 13 days ago
by
ramgpt
Qwen 3.5/3.6 35b/a3b Finetune?
👍 18
3
#3 opened 13 days ago
by
Fizzarolli
Will the RL version be released?
➕ 40
7
#2 opened 13 days ago
by
guiopen
Possibility to create SFT off Nanbeige4.2-3B?
🚀❤️ 6
3
#1 opened 13 days ago
by
dotyerts