Image-Text-to-Text
Transformers
Safetensors
gemma4
quantization
nvfp4
conversational
compressed-tensors
Instructions to use yasu-oh/gemma-4-E2B-it-qat-NVFP4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yasu-oh/gemma-4-E2B-it-qat-NVFP4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="yasu-oh/gemma-4-E2B-it-qat-NVFP4") 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("yasu-oh/gemma-4-E2B-it-qat-NVFP4") model = AutoModelForMultimodalLM.from_pretrained("yasu-oh/gemma-4-E2B-it-qat-NVFP4", 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 yasu-oh/gemma-4-E2B-it-qat-NVFP4 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "yasu-oh/gemma-4-E2B-it-qat-NVFP4" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "yasu-oh/gemma-4-E2B-it-qat-NVFP4", "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/yasu-oh/gemma-4-E2B-it-qat-NVFP4
- SGLang
How to use yasu-oh/gemma-4-E2B-it-qat-NVFP4 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 "yasu-oh/gemma-4-E2B-it-qat-NVFP4" \ --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": "yasu-oh/gemma-4-E2B-it-qat-NVFP4", "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 "yasu-oh/gemma-4-E2B-it-qat-NVFP4" \ --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": "yasu-oh/gemma-4-E2B-it-qat-NVFP4", "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 yasu-oh/gemma-4-E2B-it-qat-NVFP4 with Docker Model Runner:
docker model run hf.co/yasu-oh/gemma-4-E2B-it-qat-NVFP4
yasu-oh commited on
Commit ·
da0e72a
1
Parent(s): 1ccb861
v2
Browse files- README.md +39 -4
- config.json +77 -4
- model.safetensors +3 -0
- recipe.yaml +37 -3
- tokenizer.json +3 -0
README.md
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@@ -46,10 +46,40 @@ The calibration dataset consists of:
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```yaml
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default_stage:
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default_modifiers:
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targets: [Linear]
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ignore: ['re:.*vision.*', 're:.*audio.*',
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scheme: NVFP4
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kv_cache_scheme:
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num_bits: 8
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type: float
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observer_kwargs: {}
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bypass_divisibility_checks: false
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requires_calibration_data: true
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```
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## Reproducibility
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```text
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transformers: 5.12.1
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llmcompressor: 0.12.1.
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```
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```yaml
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default_stage:
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default_modifiers:
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GPTQModifier:
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config_groups:
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group_0:
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targets: [Linear]
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weights:
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num_bits: 4
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type: float
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symmetric: true
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group_size: 16
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strategy: tensor_group
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block_structure: null
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dynamic: false
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actorder: static
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scale_dtype: torch.float8_e4m3fn
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zp_dtype: null
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observer: imatrix_mse
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observer_kwargs: {strict: true}
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input_activations:
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num_bits: 4
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type: float
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symmetric: true
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group_size: 16
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strategy: tensor_group
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block_structure: null
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dynamic: local
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actorder: null
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scale_dtype: torch.float8_e4m3fn
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zp_dtype: null
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observer: static_minmax
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observer_kwargs: {}
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output_activations: null
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format: null
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targets: [Linear]
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ignore: [lm_head, 're:.*embed.*', 're:.*vision.*', 're:.*audio.*', 're:.*router.*', 're:.*per_layer.*']
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kv_cache_scheme:
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num_bits: 8
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type: float
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observer_kwargs: {}
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bypass_divisibility_checks: false
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requires_calibration_data: true
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block_size: 128
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dampening_frac: 0.01
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actorder: static
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offload_hessians: false
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```
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## Reproducibility
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```text
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transformers: 5.12.1
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llmcompressor: 0.12.1.dev92+g8cec0acc1
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compressed-tensors: 0.17.2a20260729
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```
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config.json
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"Linear"
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],
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"weights": {
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"actorder":
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"block_structure": null,
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"dynamic": false,
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"group_size": 16,
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"num_bits": 4,
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"observer": "
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"observer_kwargs": {
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"scale_dtype": "torch.float8_e4m3fn",
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"strategy": "tensor_group",
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"symmetric": true,
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"model.vision_tower.encoder.layers.15.mlp.gate_proj.linear",
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"model.vision_tower.encoder.layers.15.mlp.up_proj.linear",
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"model.vision_tower.encoder.layers.15.mlp.down_proj.linear",
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"model.audio_tower.subsample_conv_projection.input_proj_linear",
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"model.audio_tower.layers.0.feed_forward1.ffw_layer_1.linear",
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"model.audio_tower.layers.0.feed_forward1.ffw_layer_2.linear",
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"quantization_status": "compressed",
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"sparsity_config": {},
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"transform_config": {},
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-
"version": "0.
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},
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"text_config": {
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"attention_bias": false,
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"Linear"
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],
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"weights": {
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"actorder": "static",
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"block_structure": null,
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"dynamic": false,
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"group_size": 16,
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"num_bits": 4,
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"observer": "imatrix_mse",
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"observer_kwargs": {
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"strict": true
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},
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"scale_dtype": "torch.float8_e4m3fn",
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"strategy": "tensor_group",
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"symmetric": true,
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"model.vision_tower.encoder.layers.15.mlp.gate_proj.linear",
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"model.vision_tower.encoder.layers.15.mlp.up_proj.linear",
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"model.vision_tower.encoder.layers.15.mlp.down_proj.linear",
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"model.language_model.layers.0.per_layer_input_gate",
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"model.language_model.layers.0.per_layer_projection",
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"model.language_model.layers.1.per_layer_input_gate",
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"model.language_model.layers.1.per_layer_projection",
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"model.language_model.layers.2.per_layer_input_gate",
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"model.language_model.layers.2.per_layer_projection",
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"model.language_model.layers.3.per_layer_input_gate",
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"model.language_model.layers.3.per_layer_projection",
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"model.language_model.layers.4.per_layer_input_gate",
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"model.language_model.layers.4.per_layer_projection",
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"model.language_model.layers.5.per_layer_input_gate",
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"model.language_model.layers.5.per_layer_projection",
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"model.language_model.layers.6.per_layer_input_gate",
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"model.language_model.layers.6.per_layer_projection",
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"model.language_model.layers.7.per_layer_input_gate",
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"model.language_model.layers.7.per_layer_projection",
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"model.language_model.layers.8.per_layer_input_gate",
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"model.language_model.layers.8.per_layer_projection",
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"model.language_model.layers.9.per_layer_input_gate",
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"model.language_model.layers.9.per_layer_projection",
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"model.language_model.layers.10.per_layer_input_gate",
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"model.language_model.layers.10.per_layer_projection",
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"model.language_model.layers.11.per_layer_input_gate",
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"model.language_model.layers.11.per_layer_projection",
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"model.language_model.layers.12.per_layer_input_gate",
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"model.language_model.layers.12.per_layer_projection",
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"model.language_model.layers.13.per_layer_input_gate",
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"model.language_model.layers.13.per_layer_projection",
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"model.language_model.layers.14.per_layer_input_gate",
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"model.language_model.layers.14.per_layer_projection",
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"model.language_model.layers.15.per_layer_input_gate",
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"model.language_model.layers.15.per_layer_projection",
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"model.language_model.layers.16.per_layer_input_gate",
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"model.language_model.layers.17.per_layer_input_gate",
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"model.language_model.layers.18.per_layer_input_gate",
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"model.language_model.layers.19.per_layer_input_gate",
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"model.language_model.layers.20.per_layer_input_gate",
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"model.language_model.layers.21.per_layer_input_gate",
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"model.language_model.layers.30.per_layer_input_gate",
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"model.language_model.layers.31.per_layer_input_gate",
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"model.language_model.layers.32.per_layer_input_gate",
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"model.language_model.layers.32.per_layer_projection",
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"model.language_model.layers.33.per_layer_input_gate",
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"model.language_model.layers.33.per_layer_projection",
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"model.language_model.layers.34.per_layer_input_gate",
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"model.language_model.layers.34.per_layer_projection",
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"model.language_model.per_layer_model_projection",
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"model.audio_tower.subsample_conv_projection.input_proj_linear",
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"model.audio_tower.layers.0.feed_forward1.ffw_layer_1.linear",
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"model.audio_tower.layers.0.feed_forward1.ffw_layer_2.linear",
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"quantization_status": "compressed",
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"sparsity_config": {},
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"transform_config": {},
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"version": "0.17.2.a20260729"
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},
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"text_config": {
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"attention_bias": false,
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:ce2fb540c9dd3d74d843a3afa82e5b80c24aa8d2e25bb5ed4ae4e0c64b35c7a3
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size 7570358490
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recipe.yaml
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default_stage:
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default_modifiers:
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targets: [Linear]
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ignore: ['re:.*vision.*', 're:.*audio.*',
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scheme: NVFP4
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kv_cache_scheme:
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| 8 |
num_bits: 8
|
| 9 |
type: float
|
|
@@ -19,3 +49,7 @@ default_stage:
|
|
| 19 |
observer_kwargs: {}
|
| 20 |
bypass_divisibility_checks: false
|
| 21 |
requires_calibration_data: true
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
default_stage:
|
| 2 |
default_modifiers:
|
| 3 |
+
GPTQModifier:
|
| 4 |
+
config_groups:
|
| 5 |
+
group_0:
|
| 6 |
+
targets: [Linear]
|
| 7 |
+
weights:
|
| 8 |
+
num_bits: 4
|
| 9 |
+
type: float
|
| 10 |
+
symmetric: true
|
| 11 |
+
group_size: 16
|
| 12 |
+
strategy: tensor_group
|
| 13 |
+
block_structure: null
|
| 14 |
+
dynamic: false
|
| 15 |
+
actorder: static
|
| 16 |
+
scale_dtype: torch.float8_e4m3fn
|
| 17 |
+
zp_dtype: null
|
| 18 |
+
observer: imatrix_mse
|
| 19 |
+
observer_kwargs: {strict: true}
|
| 20 |
+
input_activations:
|
| 21 |
+
num_bits: 4
|
| 22 |
+
type: float
|
| 23 |
+
symmetric: true
|
| 24 |
+
group_size: 16
|
| 25 |
+
strategy: tensor_group
|
| 26 |
+
block_structure: null
|
| 27 |
+
dynamic: local
|
| 28 |
+
actorder: null
|
| 29 |
+
scale_dtype: torch.float8_e4m3fn
|
| 30 |
+
zp_dtype: null
|
| 31 |
+
observer: static_minmax
|
| 32 |
+
observer_kwargs: {}
|
| 33 |
+
output_activations: null
|
| 34 |
+
format: null
|
| 35 |
targets: [Linear]
|
| 36 |
+
ignore: [lm_head, 're:.*embed.*', 're:.*vision.*', 're:.*audio.*', 're:.*router.*', 're:.*per_layer.*']
|
|
|
|
| 37 |
kv_cache_scheme:
|
| 38 |
num_bits: 8
|
| 39 |
type: float
|
|
|
|
| 49 |
observer_kwargs: {}
|
| 50 |
bypass_divisibility_checks: false
|
| 51 |
requires_calibration_data: true
|
| 52 |
+
block_size: 128
|
| 53 |
+
dampening_frac: 0.01
|
| 54 |
+
actorder: static
|
| 55 |
+
offload_hessians: false
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:cc8d3a0ce36466ccc1278bf987df5f71db1719b9ca6b4118264f45cb627bfe0f
|
| 3 |
+
size 32169626
|