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Unverified Commit 0f2a2e3c authored by Ximingwang-09's avatar Ximingwang-09 Committed by GitHub
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Add H20 tuning configs support DeepSeek V3/R1 INT8(block-wise) (#4220) 


Co-authored-by: default avatarximing.wxm <ximing.wxm@antgroup.com>
parent 690e1f23
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python/sglang/srt/layers/moe/fused_moe_triton/configs/E=256,N=256,device_name=NVIDIA_H20,dtype=int8_w8a8,block_shape=[128, 128].json 0 → 100644
View file @ 0f2a2e3c
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python/sglang/srt/layers/quantization/configs/N=24576,K=7168,device_name=NVIDIA_H20,dtype=int8_w8a8,block_shape=[128, 128].json 0 → 100644
View file @ 0f2a2e3c
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python/sglang/srt/layers/quantization/configs/N=3072,K=1536,device_name=NVIDIA_H20,dtype=int8_w8a8,block_shape=[128, 128].json 0 → 100644
View file @ 0f2a2e3c
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python/sglang/srt/layers/quantization/configs/N=3072,K=7168,device_name=NVIDIA_H20,dtype=int8_w8a8,block_shape=[128, 128].json 0 → 100644
View file @ 0f2a2e3c
{
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python/sglang/srt/layers/quantization/configs/N=32768,K=512,device_name=NVIDIA_H20,dtype=int8_w8a8,block_shape=[128, 128].json 0 → 100644
View file @ 0f2a2e3c
{
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python/sglang/srt/layers/quantization/configs/N=4096,K=512,device_name=NVIDIA_H20,dtype=int8_w8a8,block_shape=[128, 128].json 0 → 100644
View file @ 0f2a2e3c
{
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}
python/sglang/srt/layers/quantization/configs/N=4608,K=7168,device_name=NVIDIA_H20,dtype=int8_w8a8,block_shape=[128, 128].json 0 → 100644
View file @ 0f2a2e3c
{
"1": {
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"BLOCK_SIZE_N": 64,
"BLOCK_SIZE_K": 128,
"GROUP_SIZE_M": 64,
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}
python/sglang/srt/layers/quantization/configs/N=512,K=7168,device_name=NVIDIA_H20,dtype=int8_w8a8,block_shape=[128, 128].json 0 → 100644
View file @ 0f2a2e3c
{
"1": {
"BLOCK_SIZE_M": 16,
"BLOCK_SIZE_N": 32,
"BLOCK_SIZE_K": 128,
"GROUP_SIZE_M": 16,
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"8": {
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"16": {
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"24": {
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}
python/sglang/srt/layers/quantization/configs/N=576,K=7168,device_name=NVIDIA_H20,dtype=int8_w8a8,block_shape=[128, 128].json 0 → 100644
View file @ 0f2a2e3c
{
"1": {
"BLOCK_SIZE_M": 16,
"BLOCK_SIZE_N": 32,
"BLOCK_SIZE_K": 128,
"GROUP_SIZE_M": 32,
"num_warps": 4,
"num_stages": 5
},
"2": {
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"4": {
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"8": {
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},
"16": {
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"24": {
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"32": {
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"48": {
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"64": {
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"128": {
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"1024": {
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}
}
python/sglang/srt/layers/quantization/configs/N=7168,K=16384,device_name=NVIDIA_H20,dtype=int8_w8a8,block_shape=[128, 128].json 0 → 100644
View file @ 0f2a2e3c
{
"1": {
"BLOCK_SIZE_M": 16,
"BLOCK_SIZE_N": 64,
"BLOCK_SIZE_K": 128,
"GROUP_SIZE_M": 16,
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"4": {
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"8": {
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},
"16": {
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"24": {
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"32": {
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"48": {
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"64": {
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"96": {
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"128": {
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"256": {
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"1024": {
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"3072": {
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},
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}
python/sglang/srt/layers/quantization/configs/N=7168,K=18432,device_name=NVIDIA_H20,dtype=int8_w8a8,block_shape=[128, 128].json 0 → 100644
View file @ 0f2a2e3c
{
"1": {
"BLOCK_SIZE_M": 16,
"BLOCK_SIZE_N": 64,
"BLOCK_SIZE_K": 128,
"GROUP_SIZE_M": 1,
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"4": {
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"8": {
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"16": {
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"24": {
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"32": {
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"48": {
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"64": {
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"96": {
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"128": {
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"1024": {
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"3072": {
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}
python/sglang/srt/layers/quantization/configs/N=7168,K=2048,device_name=NVIDIA_H20,dtype=int8_w8a8,block_shape=[128, 128].json 0 → 100644
View file @ 0f2a2e3c
{
"1": {
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"BLOCK_SIZE_N": 128,
"BLOCK_SIZE_K": 128,
"GROUP_SIZE_M": 1,
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"8": {
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"16": {
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"48": {
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"512": {
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"1024": {
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},
"1536": {
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"2048": {
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}
python/sglang/srt/layers/quantization/configs/N=7168,K=2304,device_name=NVIDIA_H20,dtype=int8_w8a8,block_shape=[128, 128].json 0 → 100644
View file @ 0f2a2e3c
{
"1": {
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"BLOCK_SIZE_K": 128,
"GROUP_SIZE_M": 32,
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"2": {
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"GROUP_SIZE_M": 64,
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"4": {
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"8": {
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"16": {
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"24": {
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"32": {
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"48": {
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"64": {
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"96": {
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"128": {
"BLOCK_SIZE_M": 64,
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"256": {
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"512": {
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},
"1024": {
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},
"1536": {
"BLOCK_SIZE_M": 64,
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"GROUP_SIZE_M": 16,
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"2048": {
"BLOCK_SIZE_M": 64,
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"BLOCK_SIZE_K": 128,
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"3072": {
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},
"4096": {
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"BLOCK_SIZE_K": 128,
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}
}
python/sglang/srt/layers/quantization/configs/N=7168,K=256,device_name=NVIDIA_H20,dtype=int8_w8a8,block_shape=[128, 128].json 0 → 100644
View file @ 0f2a2e3c
{
"1": {
"BLOCK_SIZE_M": 16,
"BLOCK_SIZE_N": 256,
"BLOCK_SIZE_K": 64,
"GROUP_SIZE_M": 32,
"num_warps": 8,
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},
"2": {
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"num_warps": 8,
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"4": {
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},
"8": {
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"GROUP_SIZE_M": 1,
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},
"16": {
"BLOCK_SIZE_M": 32,
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"BLOCK_SIZE_K": 64,
"GROUP_SIZE_M": 32,
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"num_stages": 3
},
"24": {
"BLOCK_SIZE_M": 16,
"BLOCK_SIZE_N": 128,
"BLOCK_SIZE_K": 128,
"GROUP_SIZE_M": 16,
"num_warps": 4,
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},
"32": {
"BLOCK_SIZE_M": 16,
"BLOCK_SIZE_N": 64,
"BLOCK_SIZE_K": 128,
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},
"48": {
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"BLOCK_SIZE_N": 32,
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"GROUP_SIZE_M": 1,
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},
"64": {
"BLOCK_SIZE_M": 16,
"BLOCK_SIZE_N": 256,
"BLOCK_SIZE_K": 64,
"GROUP_SIZE_M": 64,
"num_warps": 8,
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},
"96": {
"BLOCK_SIZE_M": 64,
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"GROUP_SIZE_M": 32,
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},
"128": {
"BLOCK_SIZE_M": 128,
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},
"256": {
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"GROUP_SIZE_M": 32,
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},
"512": {
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"GROUP_SIZE_M": 16,
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},
"1024": {
"BLOCK_SIZE_M": 64,
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},
"1536": {
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},
"2048": {
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},
"3072": {
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"GROUP_SIZE_M": 32,
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},
"4096": {
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"GROUP_SIZE_M": 1,
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}
}
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