Text Generation
Transformers
mistral3
image-text-to-text
neuralmagic
redhat
llmcompressor
quantized
FP4
conversational
compressed-tensors
Instructions to use RedHatAI/Ministral-3-14B-Instruct-2512-NVFP4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RedHatAI/Ministral-3-14B-Instruct-2512-NVFP4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="RedHatAI/Ministral-3-14B-Instruct-2512-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, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("RedHatAI/Ministral-3-14B-Instruct-2512-NVFP4") model = AutoModelForImageTextToText.from_pretrained("RedHatAI/Ministral-3-14B-Instruct-2512-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?"} ] }, ] 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/Ministral-3-14B-Instruct-2512-NVFP4 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "RedHatAI/Ministral-3-14B-Instruct-2512-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": "RedHatAI/Ministral-3-14B-Instruct-2512-NVFP4", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/RedHatAI/Ministral-3-14B-Instruct-2512-NVFP4
- SGLang
How to use RedHatAI/Ministral-3-14B-Instruct-2512-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 "RedHatAI/Ministral-3-14B-Instruct-2512-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": "RedHatAI/Ministral-3-14B-Instruct-2512-NVFP4", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'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/Ministral-3-14B-Instruct-2512-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": "RedHatAI/Ministral-3-14B-Instruct-2512-NVFP4", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use RedHatAI/Ministral-3-14B-Instruct-2512-NVFP4 with Docker Model Runner:
docker model run hf.co/RedHatAI/Ministral-3-14B-Instruct-2512-NVFP4
| { | |
| "architectures": [ | |
| "Mistral3ForConditionalGeneration" | |
| ], | |
| "dtype": "bfloat16", | |
| "image_token_index": 10, | |
| "model_type": "mistral3", | |
| "multimodal_projector_bias": false, | |
| "projector_hidden_act": "gelu", | |
| "quantization_config": { | |
| "config_groups": { | |
| "group_0": { | |
| "format": "nvfp4-pack-quantized", | |
| "input_activations": { | |
| "actorder": null, | |
| "block_structure": null, | |
| "dynamic": "local", | |
| "group_size": 16, | |
| "num_bits": 4, | |
| "observer": "static_minmax", | |
| "observer_kwargs": {}, | |
| "scale_dtype": "torch.float8_e4m3fn", | |
| "strategy": "tensor_group", | |
| "symmetric": true, | |
| "type": "float", | |
| "zp_dtype": null | |
| }, | |
| "output_activations": null, | |
| "targets": [ | |
| "Linear" | |
| ], | |
| "weights": { | |
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| "dynamic": false, | |
| "group_size": 16, | |
| "num_bits": 4, | |
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| "scale_dtype": "torch.float8_e4m3fn", | |
| "strategy": "tensor_group", | |
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| "type": "float", | |
| "zp_dtype": null | |
| } | |
| } | |
| }, | |
| "format": "nvfp4-pack-quantized", | |
| "global_compression_ratio": null, | |
| "ignore": [ | |
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