Image-Text-to-Text
Transformers
diffusiongemma
gemma-4
infinite-context
external-memory
evidence-retrieval
long-context
large-documents
legal-documents
ai-memory
nzfc-gram
runtime-overlay
not-native-infinite-context
Instructions to use SingularityPrinciple/DiffusionGemma-26B-A4B-it-Infinite-Context with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SingularityPrinciple/DiffusionGemma-26B-A4B-it-Infinite-Context with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="SingularityPrinciple/DiffusionGemma-26B-A4B-it-Infinite-Context")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SingularityPrinciple/DiffusionGemma-26B-A4B-it-Infinite-Context", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use SingularityPrinciple/DiffusionGemma-26B-A4B-it-Infinite-Context with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "SingularityPrinciple/DiffusionGemma-26B-A4B-it-Infinite-Context" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "SingularityPrinciple/DiffusionGemma-26B-A4B-it-Infinite-Context", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/SingularityPrinciple/DiffusionGemma-26B-A4B-it-Infinite-Context
- SGLang
How to use SingularityPrinciple/DiffusionGemma-26B-A4B-it-Infinite-Context 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 "SingularityPrinciple/DiffusionGemma-26B-A4B-it-Infinite-Context" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "SingularityPrinciple/DiffusionGemma-26B-A4B-it-Infinite-Context", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'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 "SingularityPrinciple/DiffusionGemma-26B-A4B-it-Infinite-Context" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "SingularityPrinciple/DiffusionGemma-26B-A4B-it-Infinite-Context", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use SingularityPrinciple/DiffusionGemma-26B-A4B-it-Infinite-Context with Docker Model Runner:
docker model run hf.co/SingularityPrinciple/DiffusionGemma-26B-A4B-it-Infinite-Context
| { | |
| "version": "v1.2.5-diffusiongemma-infinite-context-preview", | |
| "release_name": "DiffusionGemma-26B-A4B-it-Infinite-Context", | |
| "repo_id": "SingularityPrinciple/DiffusionGemma-26B-A4B-it-Infinite-Context", | |
| "source_runtime_repo": "SingularityPrinciple/Gemma-E2B-IT-10M-Chat", | |
| "base_model": "google/diffusiongemma-26B-A4B-it", | |
| "contains_base_model_weights": false, | |
| "release_type": "runtime_adapter_overlay", | |
| "marketing_title": "DiffusionGemma-26B-A4B-it-Infinite-Context", | |
| "technical_boundary": "external evidence context, not native unlimited model context", | |
| "non_claims": [ | |
| "not native infinite context", | |
| "not internal infinite memory", | |
| "not zero hallucination", | |
| "not legal advice", | |
| "not affiliated with Google" | |
| ], | |
| "features": [ | |
| "external memory", | |
| "scoped retrieval", | |
| "tombstone guard if available in source runtime", | |
| "strict exact slot gate if available in source runtime", | |
| "large-document indexing", | |
| "legal-document evidence profile", | |
| "DiffusionGemma block-diffusion adapter preview" | |
| ], | |
| "created_at": "2026-06-11 02:04:32" | |
| } | |