Instructions to use TeichAI/gemma-4-26B-A4B-it-Claude-Opus-Distill-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use TeichAI/gemma-4-26B-A4B-it-Claude-Opus-Distill-v2 with Transformers:

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

pipe = pipeline("image-text-to-text", model="TeichAI/gemma-4-26B-A4B-it-Claude-Opus-Distill-v2")
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("TeichAI/gemma-4-26B-A4B-it-Claude-Opus-Distill-v2")
model = AutoModelForMultimodalLM.from_pretrained("TeichAI/gemma-4-26B-A4B-it-Claude-Opus-Distill-v2", 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 TeichAI/gemma-4-26B-A4B-it-Claude-Opus-Distill-v2 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "TeichAI/gemma-4-26B-A4B-it-Claude-Opus-Distill-v2"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "TeichAI/gemma-4-26B-A4B-it-Claude-Opus-Distill-v2",
		"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/TeichAI/gemma-4-26B-A4B-it-Claude-Opus-Distill-v2

SGLang

How to use TeichAI/gemma-4-26B-A4B-it-Claude-Opus-Distill-v2 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 "TeichAI/gemma-4-26B-A4B-it-Claude-Opus-Distill-v2" \
    --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": "TeichAI/gemma-4-26B-A4B-it-Claude-Opus-Distill-v2",
		"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 "TeichAI/gemma-4-26B-A4B-it-Claude-Opus-Distill-v2" \
        --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": "TeichAI/gemma-4-26B-A4B-it-Claude-Opus-Distill-v2",
		"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"
						}
					}
				]
			}
		]
	}'

Unsloth Desktop
Docker Model Runner
How to use TeichAI/gemma-4-26B-A4B-it-Claude-Opus-Distill-v2 with Docker Model Runner:
```
docker model run hf.co/TeichAI/gemma-4-26B-A4B-it-Claude-Opus-Distill-v2
```

Beta Testers Wanted for gemma-4-26B-A4B-it-Claude-Opus-Distill-v2 Deployment

by anoneemoose - opened 3 days ago

Discussion

anoneemoose

3 days ago

•

This comment has been hidden (marked as Spam)

CompactAI

TeichAI org 2 days ago

•

edited 2 days ago

@anoneemoose Please stop using TeichAI as a place to advertise your service.

CompactAI changed discussion status to closed 2 days ago

anoneemoose

2 days ago

Apologies if that seemed like an ad, we are just genuinely looking for beta testers. But this is your forum, your community, and definitely your call.

Sorry again for overstepping any bounds.

armand0e

TeichAI org 2 days ago

No worries! Best of luck in your endeavors!

owenqwenllmwine

2 days ago

Apologies if that seemed like an ad, we are just genuinely looking for beta testers. But this is your forum, your community, and definitely your call.

Sorry again for overstepping any bounds.

Bruh

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