Instructions to use OpenYourMind/OYM-Qimi-122B-A10B-K2.6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use OpenYourMind/OYM-Qimi-122B-A10B-K2.6 with Transformers:

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

pipe = pipeline("image-text-to-text", model="OpenYourMind/OYM-Qimi-122B-A10B-K2.6")
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("OpenYourMind/OYM-Qimi-122B-A10B-K2.6")
model = AutoModelForMultimodalLM.from_pretrained("OpenYourMind/OYM-Qimi-122B-A10B-K2.6", 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 OpenYourMind/OYM-Qimi-122B-A10B-K2.6 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "OpenYourMind/OYM-Qimi-122B-A10B-K2.6"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "OpenYourMind/OYM-Qimi-122B-A10B-K2.6",
		"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/OpenYourMind/OYM-Qimi-122B-A10B-K2.6

SGLang

How to use OpenYourMind/OYM-Qimi-122B-A10B-K2.6 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 "OpenYourMind/OYM-Qimi-122B-A10B-K2.6" \
    --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": "OpenYourMind/OYM-Qimi-122B-A10B-K2.6",
		"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 "OpenYourMind/OYM-Qimi-122B-A10B-K2.6" \
        --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": "OpenYourMind/OYM-Qimi-122B-A10B-K2.6",
		"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 OpenYourMind/OYM-Qimi-122B-A10B-K2.6 with Docker Model Runner:
```
docker model run hf.co/OpenYourMind/OYM-Qimi-122B-A10B-K2.6
```

OpenYourMind commited on Jun 16

Commit

ce9f71b

verified ·

1 Parent(s): d8e4ea0

Move Support & Community section to top (below banner); unify across models

Browse files

Files changed (1) hide show

README.md +15 -12

README.md CHANGED Viewed

@@ -26,6 +26,21 @@ pipeline_tag: image-text-to-text
   <img src="OYM_banner.png" alt="OpenYourMind" width="100%">
 </div>
 # OYM-Qimi-122B-A10B-K2.6
@@ -122,18 +137,6 @@ Both the **vision tower** and the **MTP head** are included and functional.
 Full BF16 weights fit on **2× H200 / B200** or **4× H100 (80 GB)** with room for context.
-## ☕ Support Me
-<div align="center">
-**☕ If these models are useful to you, consider supporting my work — it funds compute for more & larger abliterations.**
-<a href="https://buymeacoffee.com/oym.kuato" target="_blank"><img src="https://cdn.buymeacoffee.com/buttons/v2/default-yellow.png" alt="Buy Me A Coffee" height="48" width="200"></a>
-[**buymeacoffee.com/oym.kuato**](https://buymeacoffee.com/oym.kuato)
-</div>
 ## Notes
 - **License**: Other (inherits the Qwen3.5 base license).

   <img src="OYM_banner.png" alt="OpenYourMind" width="100%">
 </div>
+## Support & Community
+<div align="center">
+**☕ If these models are useful to you, consider supporting my work — it funds compute for more & larger abliterations.**
+<a href="https://buymeacoffee.com/oym.kuato" target="_blank"><img src="https://cdn.buymeacoffee.com/buttons/v2/default-yellow.png" alt="Buy Me A Coffee" height="48" width="200"></a>
+[**buymeacoffee.com/oym.kuato**](https://buymeacoffee.com/oym.kuato)
+💬 **Discord:** [discord.gg/rhUZY5GEZr](https://discord.gg/rhUZY5GEZr) &nbsp;&middot;&nbsp; ₿ **Bitcoin:** `bc1qsvfduzj9fjs9fugpc52yver3f2g8fp7xjxecdv`
+</div>
+---
 # OYM-Qimi-122B-A10B-K2.6
 Full BF16 weights fit on **2× H200 / B200** or **4× H100 (80 GB)** with room for context.
 ## Notes
 - **License**: Other (inherits the Qwen3.5 base license).