— Model Architecture: Qwen/Qwen3-30B-A3B — 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: 10/29/2025 — Version: 1.0 — Model Developers: RedHatAI This model is a quantized version of Qwen/Qwen3-30B-A3B. It was evaluated on a several tasks to assess the its quality in comparison to the unquatized model. This model was obtained by quantizing the weights and activations of Qwen/Qwen3-30B-A3B 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. 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. This model was created by applying LLM Compressor with calibration samples from…
Модальности:
Генерация текста
Области применения:
Диалог / чат
Задача: Генерация текста
Автор: RedHatAI
Теги: qwen3_moe, fp4, vllm, conversational, en, de, fr, it
Лайков: 3 | Загрузок: 2,898
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
