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Title: GitHub - jarrvis-test-user/BitBLAS: BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment. · GitHub

Open Graph Title: GitHub - jarrvis-test-user/BitBLAS: BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.

X Title: GitHub - jarrvis-test-user/BitBLAS: BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.

Description: BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment. - jarrvis-test-user/BitBLAS

Open Graph Description: BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment. - jarrvis-test-user/BitBLAS

X Description: BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment. - jarrvis-test-user/BitBLAS

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	https://github.com/jarrvis-test-user/BitBLAS#bitblas
GPTQ	https://arxiv.org/abs/2210.17323
BitDistiller	https://arxiv.org/abs/2402.10631
BitNet-b1.58	https://arxiv.org/abs/2402.17764
"Ladder: Enabling Efficient Low-Precision Deep Learning Computing through Hardware-aware Tensor Transformation"	https://www.usenix.org/conference/osdi24/presentation/wang-lei
support matrix	https://github.com/jarrvis-test-user/BitBLAS#support-matrix
integration	https://github.com/microsoft/BitBLAS/blob/main/integration/
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AutoGPTQ	https://github.com/AutoGPTQ/AutoGPTQ
vLLM	https://github.com/vllm-project/vllm
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benchmark summary	https://github.com/jarrvis-test-user/BitBLAS#benchmark-summary
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op_benchmark_a100_int2_scaling	https://github.com/microsoft/BitBLAS/blob/main/images/figures/op_benchmark_a100_int2_scaling.png
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	https://github.com/jarrvis-test-user/BitBLAS#latest-news
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PythonAPI	https://github.com/microsoft/BitBLAS/blob/main/docs/PythonAPI.md
QuickStart	https://github.com/microsoft/BitBLAS/blob/main/docs/QuickStart.md
PR #202	https://github.com/microsoft/BitBLAS/pull/202
PR #133	https://github.com/microsoft/BitBLAS/pull/133
Ladder paper and presentation	https://www.usenix.org/conference/osdi24/presentation/wang-lei
GPTQModel	https://github.com/ModelCloud/GPTQModel
	https://github.com/jarrvis-test-user/BitBLAS#integration-example-of-fastertransformer-with-bitblas
	https://github.com/jarrvis-test-user/BitBLAS/blob/main/images/gif/FasterTransformer.gif
	https://github.com/jarrvis-test-user/BitBLAS#benchmark-summary
	https://github.com/jarrvis-test-user/BitBLAS/blob/main/images/figures/end2end_llama_13b_auto_gptq.png
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	https://github.com/jarrvis-test-user/BitBLAS/blob/main/images/figures/end2end_llama_70B_vllm.png
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	https://github.com/jarrvis-test-user/BitBLAS/blob/main/images/figures/op_benchmark_consistent_gemm_int8.png
benchmark	https://github.com/jarrvis-test-user/BitBLAS/blob/main/benchmark/README.md
	https://github.com/jarrvis-test-user/BitBLAS#support-matrix
	https://github.com/jarrvis-test-user/BitBLAS#getting-started-with-an-example
	https://github.com/jarrvis-test-user/BitBLAS#installing-with-pip
build BitBLAS from source	https://github.com/microsoft/BitBLAS/blob/main/docs/Installation.md#building-from-source
installation document	https://github.com/microsoft/BitBLAS/blob/main/docs/Installation.md
	https://github.com/jarrvis-test-user/BitBLAS#example-w_int4a_fp16-mixed-precision-matrix-multiplication
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QuickStart	https://github.com/microsoft/BitBLAS/blob/main/docs/QuickStart.md
Python API	https://github.com/microsoft/BitBLAS/blob/main/docs/PythonAPI.md
Integration	https://github.com/microsoft/BitBLAS/tree/main/integration
Customization	https://github.com/microsoft/BitBLAS/blob/main/docs/ExtendOperatorsWithDSL.md
	https://github.com/jarrvis-test-user/BitBLAS#reference
	https://github.com/jarrvis-test-user/BitBLAS#contributing
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