Instructions to use google/diffusiongemma-26B-A4B-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/diffusiongemma-26B-A4B-it with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="google/diffusiongemma-26B-A4B-it") 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("google/diffusiongemma-26B-A4B-it") model = AutoModelForMultimodalLM.from_pretrained("google/diffusiongemma-26B-A4B-it") 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 google/diffusiongemma-26B-A4B-it with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "google/diffusiongemma-26B-A4B-it" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "google/diffusiongemma-26B-A4B-it", "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/google/diffusiongemma-26B-A4B-it
- SGLang
How to use google/diffusiongemma-26B-A4B-it 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 "google/diffusiongemma-26B-A4B-it" \ --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": "google/diffusiongemma-26B-A4B-it", "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 "google/diffusiongemma-26B-A4B-it" \ --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": "google/diffusiongemma-26B-A4B-it", "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 google/diffusiongemma-26B-A4B-it with Docker Model Runner:
docker model run hf.co/google/diffusiongemma-26B-A4B-it
Problem with tensor parallel size==2
1
#14 opened about 11 hours ago
by
borodulinaad
DiffusionGemma
#13 opened about 15 hours ago
by
razielAI
Progressive Hierarchical Canvas Diffusion
#12 opened about 15 hours ago
by
neoxider2
VLLM setup? Getting malformed responses. What is correct configuration
1
#11 opened about 20 hours ago
by
jtvino
Update README.md
#10 opened 1 day ago
by
cantap555
ADD FAST-dLLM mode for more speed
👍 1
1
#9 opened 4 days ago
by
VaLtEc-BoY
worlds most quantization sensitive model, congrats🥳🤩
👍 5
2
#8 opened 5 days ago
by
unokayish182
PLEASE E4B
❤️👍 14
2
#7 opened 5 days ago
by
VaLtEc-BoY
RuntimeError: Tensor.item() cannot be called on meta tensors
3
#6 opened 5 days ago
by
kimyong95
Argument input_ids not found in the forward method
👍 5
4
#5 opened 5 days ago
by
mohamedemam
Runtime error and Module not found error
4
#4 opened 6 days ago
by
harishreddy09876543
Stronger model for Agentic workflow
👀👍 13
3
#3 opened 6 days ago
by
Duonglv