Qwen3 8B NVFP4 Model Overview Model Architecture: Qwen/Qwen3 8B Input: Text Output: Text Model Optimizations: Weight quantization: FP4 Activation quantization: FP4 Out of scope: Use in any manner that violates applicable laws or regulations (including trade compliance laws). Use in languages other than English. Release Date: 6/25/2025 Version: 1.0 Model Developers: RedHatAI This model is a quantized version of Qwen/Qwen3 8B. It was evaluated on a several tasks to assess the its quality in comparison to the unquatized model. Model Optimizations This model was obtained by quantizing the weights and activations of Qwen/Qwen3 8B to FP4 data type, ready for inference with vLLM =0.9.1 This optimization reduces the number of bits per parameter from 16 to 4, reducing the disk size and GPU memory requirements by approximately 75%. Only the weights and activations of the linear operators within transformers blocks are quantized using LLM Compressor. Deployment Use with vLLM This model can be deployed efficiently using the vLLM backend, as shown in the example below. vLLM aslo supports OpenAI compatible serving. See the documentation for more details. Creation This model was created by applyi…
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