microsoft/BitNet

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BitNet

Grade	Name	Complexity	Churn	Issues
A	run_inference.py	5	4	1
A	run_inference_server.py	5	1	1
A	utils\test_gemm_kernel.sh		1	2
A	utils\test_perplexity.py	58	1	2
A	utils\quantize_embeddings.py	49	1	2
A	utils\codegen_tl1.py	5	1	2
A	utils\e2e_benchmark.py	8	2	3
A	gpu\test.py	1	1	3
C	setup_env.py	39	11	3
A	utils\codegen_tl2.py	3	2	3
A	gpu\convert_safetensors.py	4	1	4
B	src\ggml-bitnet-mad.cpp	63	4	5
C	include\bitnet-lut-kernels.h	154	1	6
D	preset_kernels\bitnet_b1_58-3B\bitnet-lut-kernels-tl2.h	154	1	7
C	preset_kernels\bitnet_b1_58-large\bitnet-lut-kernels-tl2.h	154	1	7
D	preset_kernels\Llama3-8B-1.58-100B-tokens\bitnet-lut-kernels-tl2.h	196	1	8
C	utils\generate-dummy-bitnet-model.py	120	1	11
D	preset_kernels\bitnet_b1_58-3B\bitnet-lut-kernels-tl1.h	62	1	13
D	preset_kernels\bitnet_b1_58-large\bitnet-lut-kernels-tl1.h	62	1	13
F	utils\convert-hf-to-gguf-bitnet.py	191	4	15