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Refine GPT-QModel description in README #2145

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Refine GPT-QModel description in README #2145

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4 changes: 1 addition & 3 deletions README.md
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Expand Up @@ -128,9 +128,7 @@ Fixed quantization of OPT and DeepSeek V2-Lite models. Fixed inference for DeepS
## What is GPT-QModel?
GPT-QModel is a production ready LLM model compression/quantization toolkit with hw accelerated inference support for both cpu/gpu via HF Transformers, vLLM, and SGLang.

Public and ModelCloud's internal tests have shown that GPTQ is on-par and/or exceeds other 4bit quantization methods in terms of both quality recovery and production-level inference speed for token latency and rps. GPTQ has the optimal blend of quality and inference speed you need in a real-world production deployment.

GPT-QModel not only supports GPTQ but also QQQ, GPTQv2, Eora with more quantization methods and enhancements planned.
GPT-QModel currently supports GPTQ, AWQ, QQQ, GPTAQ, EoRa, GAR with more quantization methods and enhancements planned.

## Quantization Support

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