Atom is a new low-bit quantisation technique developed by researchers to increase the serving throughput of Large Language Models (LLMs). By using low-bit operators and quantisation, Atom reduces memory usage without sacrificing precision, resulting in improved end-to-end throughput by up to 7.73 times compared to existing approaches. Atom addresses the need for more efficient LLM processing while maintaining response time.
Introducing Atom: A Low-Bit Quantization Technique for Efficient and Accurate Large Language Model (LLM) Serving
Large Language Models (LLMs) have revolutionized the field of Artificial Intelligence with their incredible capabilities. They can answer questions, generate content, summarize text, and complete codes, making them valuable in various domains such as sentiment analysis, intelligent chatbots, and content creation.
LLMs require significant computational power, and GPU resources are used to increase throughput. However, existing quantization techniques don’t fully utilize the potential of newer GPUs. To address this, a team of researchers has introduced Atom, a low-bit quantization technique that significantly improves throughput without sacrificing precision.
Key Benefits of Atom:
- Increased Throughput: Atom improves end-to-end throughput by up to 7.73 times compared to typical approaches.
- Maintained Latency: Atom maintains latency within the desired range.
- Reduced Memory Usage: Atom uses low-bit operators and quantization to reduce memory usage.
- Excellent Accuracy: Atom employs a combination of fine-grained and mixed-precision quantization techniques to retain accuracy.
The researchers have thoroughly analyzed LLM serving and identified the performance benefits of low-bit weight-activation quantization approaches. Atom, the unique low-bit quantization technique, uses mixed precision, fine-grained group quantization, dynamic activation quantization, and KV-cache quantization to ensure peak performance.
Atom has been evaluated and proven to greatly increase LLM serving throughput while maintaining accuracy. It is a practical solution to meet the growing demand for LLM services, providing faster processing of requests without compromising response time.
To learn more about Atom, you can read the research paper here.
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