vllm-project/vllm

main

vllm

Grade	Name	Complexity	Churn	Issues
A	vllm\model_executor\layers\mamba\gdn\olmo_gdn_linear_attn.py	30	1	2
A	vllm\model_executor\layers\mamba\gdn\qwen_gdn_linear_attn.py	76	1	2
A	vllm\model_executor\layers\mamba\ops\cpu\gdn_attention.py	38	1	2
A	vllm\model_executor\layers\mamba\ops\gdn_chunk_cutedsl\kernel_h.py	54	1	2
A	vllm\model_executor\layers\mamba\ops\selective_state_update_replayssm_output_only.py	42	1	2
A	examples\rl\rlhf_async_new_apis.py	7	1	2
A	vllm\model_executor\layers\quantization\auto_gptq.py	39	1	2
A	vllm\model_executor\layers\quantization\compressed_tensors\compressed_tensors.py	104	1	2
A	examples\rl\rlhf_ipc_fsdp_ep.py	29	1	2
A	vllm\model_executor\layers\quantization\compressed_tensors\compressed_tensors_moe\compressed_tensors_moe_w4a16_flydsl.py	10	1	2
A	examples\rl\rlhf_nccl_fsdp_ep.py	10	1	2
A	vllm\model_executor\layers\quantization\compressed_tensors\compressed_tensors_moe\compressed_tensors_moe_w8a8_fp8.py	19	1	2
A	benchmarks\attention_benchmarks\benchmark.py	160	1	2
A	examples\rl\rlhf_sparse_nccl.py	19	1	2
A	vllm\model_executor\layers\quantization\compressed_tensors\compressed_tensors_moe\compressed_tensors_moe_wna16.py	7	1	2
A	vllm\model_executor\layers\quantization\compressed_tensors\schemes\compressed_tensors_wNa4.py	12	1	2
A	vllm\model_executor\layers\quantization\compressed_tensors\schemes\compressed_tensors_wNa8.py	12	1	2
A	vllm\model_executor\layers\quantization\fp8.py	68	1	2
A	vllm\model_executor\layers\quantization\online\fp8.py	37	1	2
A	vllm\transformers_utils\processors\nemotron_vl.py	8	1	2