Image-Text-to-Text
Transformers
Safetensors
gemma3n
vllm
vision
audio
int4
conversational
compressed-tensors
Instructions to use RedHatAI/gemma-3n-E4B-it-quantized.w4a16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RedHatAI/gemma-3n-E4B-it-quantized.w4a16 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="RedHatAI/gemma-3n-E4B-it-quantized.w4a16") 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("RedHatAI/gemma-3n-E4B-it-quantized.w4a16") model = AutoModelForMultimodalLM.from_pretrained("RedHatAI/gemma-3n-E4B-it-quantized.w4a16", 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 RedHatAI/gemma-3n-E4B-it-quantized.w4a16 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "RedHatAI/gemma-3n-E4B-it-quantized.w4a16" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "RedHatAI/gemma-3n-E4B-it-quantized.w4a16", "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/RedHatAI/gemma-3n-E4B-it-quantized.w4a16
- SGLang
How to use RedHatAI/gemma-3n-E4B-it-quantized.w4a16 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 "RedHatAI/gemma-3n-E4B-it-quantized.w4a16" \ --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": "RedHatAI/gemma-3n-E4B-it-quantized.w4a16", "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 "RedHatAI/gemma-3n-E4B-it-quantized.w4a16" \ --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": "RedHatAI/gemma-3n-E4B-it-quantized.w4a16", "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 RedHatAI/gemma-3n-E4B-it-quantized.w4a16 with Docker Model Runner:
docker model run hf.co/RedHatAI/gemma-3n-E4B-it-quantized.w4a16
Download config.json from RedHatAI/gemma-3n-E4B-it-quantized.w4a16: direct link, hf CLI and curl.
- Browser
- Download file 29.3 kB
-
https://huggingface.co/RedHatAI/gemma-3n-E4B-it-quantized.w4a16/resolve/main/config.json
- Command line
-
hf download hf://RedHatAI/gemma-3n-E4B-it-quantized.w4a16/config.json
-
curl -L -o config.json https://huggingface.co/RedHatAI/gemma-3n-E4B-it-quantized.w4a16/resolve/main/config.json
29.3 kB
| { | |
| "architectures": [ | |
| "Gemma3nForConditionalGeneration" | |
| ], | |
| "audio_config": { | |
| "conf_attention_chunk_size": 12, | |
| "conf_attention_context_left": 13, | |
| "conf_attention_context_right": 0, | |
| "conf_attention_logit_cap": 50.0, | |
| "conf_conv_kernel_size": 5, | |
| "conf_num_attention_heads": 8, | |
| "conf_num_hidden_layers": 12, | |
| "conf_reduction_factor": 4, | |
| "conf_residual_weight": 0.5, | |
| "gradient_clipping": 10000000000.0, | |
| "hidden_size": 1536, | |
| "input_feat_size": 128, | |
| "model_type": "gemma3n_audio", | |
| "rms_norm_eps": 1e-06, | |
| "sscp_conv_channel_size": [ | |
| 128, | |
| 32 | |
| ], | |
| "sscp_conv_group_norm_eps": 0.001, | |
| "sscp_conv_kernel_size": [ | |
| [ | |
| 3, | |
| 3 | |
| ], | |
| [ | |
| 3, | |
| 3 | |
| ] | |
| ], | |
| "sscp_conv_stride_size": [ | |
| [ | |
| 2, | |
| 2 | |
| ], | |
| [ | |
| 2, | |
| 2 | |
| ] | |
| ], | |
| "torch_dtype": "bfloat16", | |
| "vocab_offset": 262272, | |
| "vocab_size": 128 | |
| }, | |
| "audio_soft_tokens_per_image": 188, | |
| "audio_token_id": 262273, | |
| "boa_token_id": 256000, | |
| "boi_token_id": 255999, | |
| "eoa_token_id": 262272, | |
| "eoi_token_id": 262144, | |
| "eos_token_id": [ | |
| 1, | |
| 106 | |
| ], | |
| "image_token_id": 262145, | |
| "initializer_range": 0.02, | |
| "model_type": "gemma3n", | |
| "quantization_config": { | |
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| "input_activations": null, | |
| "output_activations": null, | |
| "targets": [ | |
| "Linear" | |
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| "actorder": null, | |
| "block_structure": null, | |
| "dynamic": false, | |
| "group_size": 128, | |
| "num_bits": 4, | |
| "observer": "minmax", | |
| "observer_kwargs": {}, | |
| "strategy": "group", | |
| "symmetric": true, | |
| "type": "int" | |
| } | |
| } | |
| }, | |
| "format": "pack-quantized", | |
| "global_compression_ratio": null, | |
| "ignore": [ | |
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| "model.language_model.layers.28.per_layer_input_gate", | |
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| "model.language_model.layers.29.altup.correction_coefs", | |
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| "model.language_model.layers.29.altup.modality_router", | |
| "model.language_model.layers.29.laurel.linear_left", | |
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| "model.language_model.layers.29.per_layer_input_gate", | |
| "model.language_model.layers.29.per_layer_projection", | |
| "model.language_model.layers.30.altup.correction_coefs", | |
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| "model.language_model.layers.30.altup.modality_router", | |
| "model.language_model.layers.30.laurel.linear_left", | |
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| "model.language_model.layers.30.per_layer_input_gate", | |
| "model.language_model.layers.30.per_layer_projection", | |
| "model.language_model.layers.31.altup.correction_coefs", | |
| "model.language_model.layers.31.altup.prediction_coefs", | |
| "model.language_model.layers.31.altup.modality_router", | |
| "model.language_model.layers.31.laurel.linear_left", | |
| "model.language_model.layers.31.laurel.linear_right", | |
| "model.language_model.layers.31.per_layer_input_gate", | |
| "model.language_model.layers.31.per_layer_projection", | |
| "model.language_model.layers.32.altup.correction_coefs", | |
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