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FluidInference/Qwen3-4B-fp16-ov
Qwen3-4B-fp16-ov is a machine learning model from FluidInference. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
Model creator: Qwen Original model: Qwen3-4B
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From the Hugging Face model README
This is Qwen3-4B model converted to the OpenVINO™ IR (Intermediate Representation) format with weights compressed to FP16.
The provided OpenVINO™ IR model is compatible with:
pip install optimum[openvino]
from transformers import AutoTokenizer
from optimum.intel.openvino import OVModelForCausalLM
model_id = "FluidInference/qwen3-4b-fp16-ov"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = OVModelForCausalLM.from_pretrained(model_id)
inputs = tokenizer("What is OpenVINO?", return_tensors="pt")
outputs = model.generate(**inputs, max_length=200)
text = tokenizer.batch_decode(outputs)[0]
print(text)
For more examples and possible optimizations, refer to the Inference with Optimum Intel.
pip install openvino-genai huggingface_hub
import huggingface_hub as hf_hub
model_id = "FluidInference/qwen3-4b-fp16-ov"
model_path = "qwen3-4b-fp16-ov"
hf_hub.snapshot_download(model_id, local_dir=model_path)
import openvino_genai as ov_genai
device = "CPU"
pipe = ov_genai.LLMPipeline(model_path, device)
pipe.get_tokenizer().set_chat_template(pipe.get_tokenizer().chat_template)
print(pipe.generate("What is OpenVINO?", max_length=200))
More GenAI usage examples can be found in OpenVINO GenAI library docs and samples
You can find more detaild usage examples in OpenVINO Notebooks:
Check the original model card for limitations.
The original model is distributed under Apache License Version 2.0 license. More details can be found in Qwen3-4B.
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