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Efficient Low-Latency Inference for Qwen3.5-4B via Quantization and Speculative Decoding
The report presents a system for low-latency serving of Qwen3.5-4B on a resource-limited NVIDIA A10G GPU by combining a quantized target model with speculative decoding. Accuracy is maintained through quantization-aware distillation while decoding speed is improved using block-diffusion techniques.
This approach enables efficient large language model inference on constrained hardware, balancing speed and accuracy. It demonstrates practical methods to deploy advanced models like Qwen3.5-4B in environments with limited GPU resources.
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Score 77
Source Type arxiv
Reposts 0
Topic Quality 59
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