source
stringclasses
13 values
gpu
stringclasses
4 values
model
stringclasses
13 values
kernel_family
stringclasses
7 values
kernel_name
stringclasses
328 values
dtype
stringclasses
2 values
held_out
bool
2 classes
M
float64
1
16.4k
N
float64
8
248k
K
float64
2.05k
29.6k
bs
float64
1
1
seq
float64
1
16.4k
n_heads
float64
8
64
head_dim
float64
64
256
kv_heads
float64
1
64
numel
float64
64
531M
op_type
stringclasses
177 values
gpu_time_duration_ms
float64
0
703
launch_block_size
float64
16
512
launch_grid_size
float64
1
1.04M
dram_bytes_sum
float64
1.27
94.3B
launch_registers_per_thread
float64
16
255
Llama-3.1-8B-Instruct_prefill
A100
Llama-8B
elementwise
void at::vectorized_elementwise_kernel<4, at::BinaryFunctor<c10::BFloat16, c10::BFloat16, c10::BFloat16, binary_internal::MulFunctor<float>>, std::array<char *, 3>>(int, T2, T3)
bf16
false
null
null
null
1
128
null
null
null
1,048,576
mul
0.00947
128
1,792
7,350,000
32
Llama-3.1-8B-Instruct_prefill
A100
Llama-8B
elementwise
void at::vectorized_elementwise_kernel<4, at::CUDAFunctor_add<c10::BFloat16>, std::array<char *, 3>>(int, T2, T3)
bf16
false
null
null
null
1
128
null
null
null
262,144
residual
0.00547
128
512
2,100,000
32
Llama-3.1-8B-Instruct_prefill
A100
Llama-8B
cast
void at::unrolled_elementwise_kernel<at::direct_copy_kernel_cuda(at::TensorIteratorBase &)::[lambda() (instance 3)]::operator ()() const::[lambda() (instance 7)]::operator ()() const::[lambda(float) (instance 1)], std::array<char *, 2>, 4, TrivialOffsetCalculator<1, unsigned int>, TrivialOffsetCalculator<1, unsigned in...
bf16
false
null
null
null
1
128
null
null
null
524,288
cast
0.00954
128
1,024
1,080,000
32
Llama-3.1-8B-Instruct_prefill
A100
Llama-8B
elementwise
void at::vectorized_elementwise_kernel<4, void at::<unnamed>::pow_tensor_scalar_kernel_impl<float, float>(at::TensorIteratorBase &, T2)::[lambda(float) (instance 1)], std::array<char *, 2>>(int, T2, T3)
bf16
false
null
null
null
1
128
null
null
null
262,144
rmsnorm
0.00634
128
512
2,100,000
28
Llama-3.1-8B-Instruct_prefill
A100
Llama-8B
reduce
void at::reduce_kernel<512, 1, at::ReduceOp<float, at::MeanOps<float, float, float, float>, unsigned int, float, 4, 4>>(T3)
bf16
false
null
null
null
1
128
null
null
null
16,384
rmsnorm
0.02608
512
8
2,150,000
32
Llama-3.1-8B-Instruct_prefill
A100
Llama-8B
elementwise
void at::vectorized_elementwise_kernel<4, at::CUDAFunctorOnSelf_add<float>, std::array<char *, 2>>(int, T2, T3)
bf16
false
null
null
null
1
128
null
null
null
512
residual
0.0033
128
1
5,250
30
Llama-3.1-8B-Instruct_prefill
A100
Llama-8B
elementwise
void at::vectorized_elementwise_kernel<4, at::rsqrt_kernel_cuda(at::TensorIteratorBase &)::[lambda() (instance 2)]::operator ()() const::[lambda() (instance 2)]::operator ()() const::[lambda(float) (instance 1)], std::array<char *, 2>>(int, T2, T3)
bf16
false
null
null
null
1
128
null
null
null
512
rmsnorm
0.00358
128
1
6,780
22
Llama-3.1-8B-Instruct_prefill
A100
Llama-8B
elementwise
void at::elementwise_kernel<128, 2, void at::gpu_kernel_impl_nocast<at::BinaryFunctor<float, float, float, binary_internal::MulFunctor<float>>>(at::TensorIteratorBase &, const T1 &)::[lambda(int) (instance 1)]>(int, T3)
bf16
false
null
null
null
1
128
null
null
null
1,048,576
mul
0.00781
128
2,048
2,110,000
16
Llama-3.1-8B-Instruct_prefill
A100
Llama-8B
cast
void at::vectorized_elementwise_kernel<4, at::bfloat16_copy_kernel_cuda(at::TensorIteratorBase &)::[lambda(float) (instance 1)], std::array<char *, 2>>(int, T2, T3)
bf16
false
null
null
null
1
128
null
null
null
262,144
cast
0.00611
128
512
2,100,000
28
Llama-3.1-8B-Instruct_prefill
A100
Llama-8B
elementwise
void at::elementwise_kernel<128, 4, void at::gpu_kernel_impl_nocast<at::BinaryFunctor<c10::BFloat16, c10::BFloat16, c10::BFloat16, binary_internal::MulFunctor<float>>>(at::TensorIteratorBase &, const T1 &)::[lambda(int) (instance 1)]>(int, T3)
bf16
false
null
null
null
1
128
null
null
null
524,288
mul
0.00803
128
1,024
1,080,000
16
Llama-3.1-8B-Instruct_prefill
A100
Llama-8B
elementwise
void at::elementwise_kernel<128, 4, void at::gpu_kernel_impl_nocast<at::BinaryFunctor<c10::BFloat16, c10::BFloat16, c10::BFloat16, binary_internal::MulFunctor<float>>>(at::TensorIteratorBase &, const T1 &)::[lambda(int) (instance 1)]>(int, T3)
bf16
false
null
null
null
1
128
null
null
null
524,288
mul
0.00835
128
1,024
1,100,000
16
Llama-3.1-8B-Instruct_prefill
A100
Llama-8B
elementwise
void at::elementwise_kernel<128, 4, void at::gpu_kernel_impl_nocast<at::neg_kernel_cuda(at::TensorIteratorBase &)::[lambda() (instance 2)]::operator ()() const::[lambda() (instance 9)]::operator ()() const::[lambda(c10::BFloat16) (instance 1)]>(at::TensorIteratorBase &, const T1 &)::[lambda(int) (instance 1)]>(int, T3)
bf16
false
null
null
null
1
128
null
null
null
262,144
neg
0.00742
128
512
542,080
16
Llama-3.1-8B-Instruct_prefill
A100
Llama-8B
copy
void at::<unnamed>::CatArrayBatchedCopy<at::<unnamed>::OpaqueType<2>, unsigned int, 4, 64, 64>(T1 *, at::<unnamed>::CatArrInputTensorMetadata<T1, T2, T4, T5>, at::<unnamed>::TensorSizeStride<T2, 4>, int, T2)
bf16
false
null
null
null
1
128
null
null
null
1,048,576
other
0.01299
512
432
1,060,000
23
Llama-3.1-8B-Instruct_prefill
A100
Llama-8B
elementwise
void at::elementwise_kernel<128, 4, void at::gpu_kernel_impl_nocast<at::BinaryFunctor<c10::BFloat16, c10::BFloat16, c10::BFloat16, binary_internal::MulFunctor<float>>>(at::TensorIteratorBase &, const T1 &)::[lambda(int) (instance 1)]>(int, T3)
bf16
false
null
null
null
1
128
null
null
null
524,288
mul
0.00787
128
1,024
1,100,000
16
Llama-3.1-8B-Instruct_prefill
A100
Llama-8B
elementwise
void at::elementwise_kernel<128, 4, void at::gpu_kernel_impl_nocast<at::CUDAFunctor_add<c10::BFloat16>>(at::TensorIteratorBase &, const T1 &)::[lambda(int) (instance 1)]>(int, T3)
bf16
false
null
null
null
1
128
null
null
null
524,288
residual
0.00851
128
1,024
2,120,000
16
Llama-3.1-8B-Instruct_prefill
A100
Llama-8B
elementwise
void at::elementwise_kernel<128, 4, void at::gpu_kernel_impl_nocast<at::BinaryFunctor<c10::BFloat16, c10::BFloat16, c10::BFloat16, binary_internal::MulFunctor<float>>>(at::TensorIteratorBase &, const T1 &)::[lambda(int) (instance 1)]>(int, T3)
bf16
false
null
null
null
1
128
null
null
null
131,072
mul
0.00733
128
256
314,750
16
Llama-3.1-8B-Instruct_prefill
A100
Llama-8B
elementwise
void at::elementwise_kernel<128, 4, void at::gpu_kernel_impl_nocast<at::neg_kernel_cuda(at::TensorIteratorBase &)::[lambda() (instance 2)]::operator ()() const::[lambda() (instance 9)]::operator ()() const::[lambda(c10::BFloat16) (instance 1)]>(at::TensorIteratorBase &, const T1 &)::[lambda(int) (instance 1)]>(int, T3)
bf16
false
null
null
null
1
128
null
null
null
65,536
neg
0.00704
128
128
148,860
16
Llama-3.1-8B-Instruct_prefill
A100
Llama-8B
copy
void at::<unnamed>::CatArrayBatchedCopy<at::<unnamed>::OpaqueType<2>, unsigned int, 4, 64, 64>(T1 *, at::<unnamed>::CatArrInputTensorMetadata<T1, T2, T4, T5>, at::<unnamed>::TensorSizeStride<T2, 4>, int, T2)
bf16
false
null
null
null
1
128
null
null
null
1,048,576
other
0.00989
512
432
269,060
23
Llama-3.1-8B-Instruct_prefill
A100
Llama-8B
elementwise
void at::elementwise_kernel<128, 4, void at::gpu_kernel_impl_nocast<at::BinaryFunctor<c10::BFloat16, c10::BFloat16, c10::BFloat16, binary_internal::MulFunctor<float>>>(at::TensorIteratorBase &, const T1 &)::[lambda(int) (instance 1)]>(int, T3)
bf16
false
null
null
null
1
128
null
null
null
131,072
mul
0.00714
128
256
314,620
16
Llama-3.1-8B-Instruct_prefill
A100
Llama-8B
elementwise
void at::elementwise_kernel<128, 4, void at::gpu_kernel_impl_nocast<at::CUDAFunctor_add<c10::BFloat16>>(at::TensorIteratorBase &, const T1 &)::[lambda(int) (instance 1)]>(int, T3)
bf16
false
null
null
null
1
128
null
null
null
131,072
residual
0.00742
128
256
544,000
16
Llama-3.1-8B-Instruct_prefill
A100
Llama-8B
copy
void at::<unnamed>::CatArrayBatchedCopy<at::<unnamed>::OpaqueType<2>, unsigned int, 4, 64, 64>(T1 *, at::<unnamed>::CatArrInputTensorMetadata<T1, T2, T4, T5>, at::<unnamed>::TensorSizeStride<T2, 4>, int, T2)
bf16
false
null
null
null
1
128
null
null
null
1,048,576
other
0.00851
512
432
269,310
23
Llama-3.1-8B-Instruct_prefill
A100
Llama-8B
copy
void at::<unnamed>::CatArrayBatchedCopy<at::<unnamed>::OpaqueType<2>, unsigned int, 4, 64, 64>(T1 *, at::<unnamed>::CatArrInputTensorMetadata<T1, T2, T4, T5>, at::<unnamed>::TensorSizeStride<T2, 4>, int, T2)
bf16
false
null
null
null
1
128
null
null
null
1,048,576
other
0.00854
512
432
269,180
23
Llama-3.1-8B-Instruct_prefill
A100
Llama-8B
elementwise
void at::vectorized_elementwise_kernel<4, at::CUDAFunctor_add<c10::BFloat16>, std::array<char *, 3>>(int, T2, T3)
bf16
false
null
null
null
1
128
null
null
null
262,144
residual
0.00554
128
512
2,100,000
32
Llama-3.1-8B-Instruct_prefill
A100
Llama-8B
cast
void at::unrolled_elementwise_kernel<at::direct_copy_kernel_cuda(at::TensorIteratorBase &)::[lambda() (instance 3)]::operator ()() const::[lambda() (instance 7)]::operator ()() const::[lambda(float) (instance 1)], std::array<char *, 2>, 4, TrivialOffsetCalculator<1, unsigned int>, TrivialOffsetCalculator<1, unsigned in...
bf16
false
null
null
null
1
128
null
null
null
524,288
cast
0.00906
128
1,024
1,080,000
32
Llama-3.1-8B-Instruct_prefill
A100
Llama-8B
elementwise
void at::vectorized_elementwise_kernel<4, void at::<unnamed>::pow_tensor_scalar_kernel_impl<float, float>(at::TensorIteratorBase &, T2)::[lambda(float) (instance 1)], std::array<char *, 2>>(int, T2, T3)
bf16
false
null
null
null
1
128
null
null
null
262,144
rmsnorm
0.00582
128
512
2,100,000
28
Llama-3.1-8B-Instruct_prefill
A100
Llama-8B
reduce
void at::reduce_kernel<512, 1, at::ReduceOp<float, at::MeanOps<float, float, float, float>, unsigned int, float, 4, 4>>(T3)
bf16
false
null
null
null
1
128
null
null
null
16,384
rmsnorm
0.02627
512
8
2,150,000
32
Llama-3.1-8B-Instruct_prefill
A100
Llama-8B
elementwise
void at::vectorized_elementwise_kernel<4, at::CUDAFunctorOnSelf_add<float>, std::array<char *, 2>>(int, T2, T3)
bf16
false
null
null
null
1
128
null
null
null
512
residual
0.0033
128
1
5,250
30
Llama-3.1-8B-Instruct_prefill
A100
Llama-8B
elementwise
void at::vectorized_elementwise_kernel<4, at::rsqrt_kernel_cuda(at::TensorIteratorBase &)::[lambda() (instance 2)]::operator ()() const::[lambda() (instance 2)]::operator ()() const::[lambda(float) (instance 1)], std::array<char *, 2>>(int, T2, T3)
bf16
false
null
null
null
1
128
null
null
null
512
rmsnorm
0.00352
128
1
7,550
22
Llama-3.1-8B-Instruct_prefill
A100
Llama-8B
elementwise
void at::elementwise_kernel<128, 2, void at::gpu_kernel_impl_nocast<at::BinaryFunctor<float, float, float, binary_internal::MulFunctor<float>>>(at::TensorIteratorBase &, const T1 &)::[lambda(int) (instance 1)]>(int, T3)
bf16
false
null
null
null
1
128
null
null
null
1,048,576
mul
0.00774
128
2,048
2,110,000
16
Llama-3.1-8B-Instruct_prefill
A100
Llama-8B
cast
void at::vectorized_elementwise_kernel<4, at::bfloat16_copy_kernel_cuda(at::TensorIteratorBase &)::[lambda(float) (instance 1)], std::array<char *, 2>>(int, T2, T3)
bf16
false
null
null
null
1
128
null
null
null
262,144
cast
0.00547
128
512
2,100,000
28
Llama-3.1-8B-Instruct_prefill
A100
Llama-8B
elementwise
void at::elementwise_kernel<128, 4, void at::gpu_kernel_impl_nocast<at::BinaryFunctor<c10::BFloat16, c10::BFloat16, c10::BFloat16, binary_internal::MulFunctor<float>>>(at::TensorIteratorBase &, const T1 &)::[lambda(int) (instance 1)]>(int, T3)
bf16
false
null
null
null
1
128
null
null
null
524,288
mul
0.00819
128
1,024
1,080,000
16
Llama-3.1-8B-Instruct_prefill
A100
Llama-8B
elementwise
void at::vectorized_elementwise_kernel<4, at::<unnamed>::silu_kernel(at::TensorIteratorBase &)::[lambda() (instance 1)]::operator ()() const::[lambda() (instance 6)]::operator ()() const::[lambda(c10::BFloat16) (instance 1)], std::array<char *, 2>>(int, T2, T3)
bf16
false
null
null
null
1
128
null
null
null
1,048,576
silu
0.0097
128
1,792
3,680,000
28
Llama-3.1-8B-Instruct_prefill
A100
Llama-8B
elementwise
void at::vectorized_elementwise_kernel<4, at::BinaryFunctor<c10::BFloat16, c10::BFloat16, c10::BFloat16, binary_internal::MulFunctor<float>>, std::array<char *, 3>>(int, T2, T3)
bf16
false
null
null
null
1
128
null
null
null
1,048,576
mul
0.00954
128
1,792
7,350,000
32
Llama-3.1-8B-Instruct_prefill
A100
Llama-8B
elementwise
void at::vectorized_elementwise_kernel<4, at::CUDAFunctor_add<c10::BFloat16>, std::array<char *, 3>>(int, T2, T3)
bf16
false
null
null
null
1
128
null
null
null
262,144
residual
0.00554
128
512
2,100,000
32
Llama-3.1-8B-Instruct_prefill
A100
Llama-8B
cast
void at::unrolled_elementwise_kernel<at::direct_copy_kernel_cuda(at::TensorIteratorBase &)::[lambda() (instance 3)]::operator ()() const::[lambda() (instance 7)]::operator ()() const::[lambda(float) (instance 1)], std::array<char *, 2>, 4, TrivialOffsetCalculator<1, unsigned int>, TrivialOffsetCalculator<1, unsigned in...
bf16
false
null
null
null
1
128
null
null
null
524,288
cast
0.00874
128
1,024
1,080,000
32
Llama-3.1-8B-Instruct_prefill
A100
Llama-8B
elementwise
void at::vectorized_elementwise_kernel<4, void at::<unnamed>::pow_tensor_scalar_kernel_impl<float, float>(at::TensorIteratorBase &, T2)::[lambda(float) (instance 1)], std::array<char *, 2>>(int, T2, T3)
bf16
false
null
null
null
1
128
null
null
null
262,144
rmsnorm
0.00589
128
512
2,100,000
28
Llama-3.1-8B-Instruct_prefill
A100
Llama-8B
reduce
void at::reduce_kernel<512, 1, at::ReduceOp<float, at::MeanOps<float, float, float, float>, unsigned int, float, 4, 4>>(T3)
bf16
false
null
null
null
1
128
null
null
null
16,384
rmsnorm
0.02602
512
8
2,150,000
32
Llama-3.1-8B-Instruct_prefill
A100
Llama-8B
elementwise
void at::vectorized_elementwise_kernel<4, at::CUDAFunctorOnSelf_add<float>, std::array<char *, 2>>(int, T2, T3)
bf16
false
null
null
null
1
128
null
null
null
512
residual
0.00336
128
1
5,250
30
Llama-3.1-8B-Instruct_prefill
A100
Llama-8B
elementwise
void at::vectorized_elementwise_kernel<4, at::rsqrt_kernel_cuda(at::TensorIteratorBase &)::[lambda() (instance 2)]::operator ()() const::[lambda() (instance 2)]::operator ()() const::[lambda(float) (instance 1)], std::array<char *, 2>>(int, T2, T3)
bf16
false
null
null
null
1
128
null
null
null
512
rmsnorm
0.00349
128
1
6,910
22
Llama-3.1-8B-Instruct_prefill
A100
Llama-8B
elementwise
void at::elementwise_kernel<128, 2, void at::gpu_kernel_impl_nocast<at::BinaryFunctor<float, float, float, binary_internal::MulFunctor<float>>>(at::TensorIteratorBase &, const T1 &)::[lambda(int) (instance 1)]>(int, T3)
bf16
false
null
null
null
1
128
null
null
null
1,048,576
mul
0.00768
128
2,048
2,110,000
16
Llama-3.1-8B-Instruct_prefill
A100
Llama-8B
cast
void at::vectorized_elementwise_kernel<4, at::bfloat16_copy_kernel_cuda(at::TensorIteratorBase &)::[lambda(float) (instance 1)], std::array<char *, 2>>(int, T2, T3)
bf16
false
null
null
null
1
128
null
null
null
262,144
cast
0.00547
128
512
2,100,000
28
Llama-3.1-8B-Instruct_prefill
A100
Llama-8B
elementwise
void at::elementwise_kernel<128, 4, void at::gpu_kernel_impl_nocast<at::BinaryFunctor<c10::BFloat16, c10::BFloat16, c10::BFloat16, binary_internal::MulFunctor<float>>>(at::TensorIteratorBase &, const T1 &)::[lambda(int) (instance 1)]>(int, T3)
bf16
false
null
null
null
1
128
null
null
null
524,288
mul
0.00803
128
1,024
1,080,000
16
Llama-3.3-70B-Instruct_prefill
A100
Llama-3.3-70B
gemm
void gemmk1_kernel<int, float, 256, 5, 0, 0, 0, 0, cublasGemvTensorStridedBatched<const float>, cublasGemvTensorStridedBatched<const float>, cublasGemvTensorStridedBatched<float>, float, 0>(cublasGemmk1Params<T2, T9, T10, T11, T12, biasType<T11::value_type, T12>::type>)
bf16
true
null
null
null
1
128
null
null
null
null
gemv
0.00454
256
8
null
20
Llama-3.3-70B-Instruct_prefill
A100
Llama-3.3-70B
gemm
ampere_bf16_s16816gemm_bf16_256x128_ldg8_f2f_stages_64x3_tn
bf16
true
128
8,192
8,192
1
128
null
null
null
null
q_proj
0.13626
256
96
null
238
Llama-3.3-70B-Instruct_prefill
A100
Llama-3.3-70B
gemm
ampere_bf16_s16816gemm_bf16_128x128_ldg8_f2f_stages_64x3_tn
bf16
true
128
1,024
8,192
1
128
null
null
null
null
k_proj
0.02557
128
72
null
246
Llama-3.3-70B-Instruct_prefill
A100
Llama-3.3-70B
gemm
ampere_bf16_s16816gemm_bf16_128x128_ldg8_f2f_stages_64x3_tn
bf16
true
128
1,024
8,192
1
128
null
null
null
null
v_proj
0.02515
128
72
null
246
Llama-3.3-70B-Instruct_prefill
A100
Llama-3.3-70B
gemm
ampere_bf16_s16816gemm_bf16_256x128_ldg8_f2f_stages_64x3_tn
bf16
true
128
8,192
8,192
1
128
null
null
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Llama-3.3-70B-Instruct_prefill
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Llama-3.3-70B-Instruct_prefill
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Llama-3.3-70B-Instruct_prefill
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Llama-3.3-70B-Instruct_prefill
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Llama-3.3-70B-Instruct_prefill
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Llama-3.3-70B-Instruct_prefill
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Llama-3.3-70B-Instruct_prefill
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Llama-3.3-70B
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Llama-3.3-70B-Instruct_prefill
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Llama-3.3-70B-Instruct_prefill
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Llama-3.3-70B
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Llama-3.3-70B-Instruct_prefill
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Llama-3.3-70B
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Llama-3.3-70B-Instruct_prefill
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Llama-3.3-70B
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Llama-3.3-70B-Instruct_prefill
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Llama-3.3-70B
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Llama-3.3-70B-Instruct_prefill
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Llama-3.3-70B
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Llama-3.3-70B-Instruct_prefill
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Llama-3.3-70B
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Llama-3.3-70B-Instruct_prefill
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Llama-3.3-70B
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Llama-3.3-70B-Instruct_prefill
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Llama-3.3-70B
gemm
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Llama-3.3-70B-Instruct_prefill
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Llama-3.3-70B
gemm
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Llama-3.3-70B-Instruct_prefill
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Llama-3.3-70B
gemm
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Llama-3.3-70B-Instruct_prefill
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Llama-3.3-70B
gemm
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Llama-3.3-70B-Instruct_prefill
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Llama-3.3-70B
gemm
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Llama-3.3-70B-Instruct_prefill
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Llama-3.3-70B
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Llama-3.3-70B-Instruct_prefill
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Llama-3.3-70B
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Llama-3.3-70B-Instruct_prefill
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Llama-3.3-70B
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Llama-3.3-70B-Instruct_prefill
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Llama-3.3-70B
gemm
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Llama-3.3-70B-Instruct_prefill
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Llama-3.3-70B
gemm
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Llama-3.3-70B-Instruct_prefill
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Llama-3.3-70B
gemm
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Llama-3.3-70B-Instruct_prefill
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Llama-3.3-70B
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Llama-3.3-70B-Instruct_prefill
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Llama-3.3-70B
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Llama-3.3-70B-Instruct_prefill
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Llama-3.3-70B
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Llama-3.3-70B-Instruct_prefill
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Llama-3.3-70B
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Llama-3.3-70B-Instruct_prefill
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Llama-3.3-70B
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Llama-3.3-70B-Instruct_prefill
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Llama-3.3-70B
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Llama-3.3-70B-Instruct_prefill
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Llama-3.3-70B
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Llama-3.3-70B-Instruct_prefill
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Llama-3.3-70B
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Llama-3.3-70B-Instruct_prefill
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Llama-3.3-70B
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Llama-3.3-70B-Instruct_prefill
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Llama-3.3-70B
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Llama-3.3-70B-Instruct_prefill
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Llama-3.3-70B
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Llama-3.3-70B-Instruct_prefill
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Llama-3.3-70B-Instruct_prefill
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Llama-3.3-70B
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Llama-3.3-70B-Instruct_prefill
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Llama-3.3-70B
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Llama-3.3-70B-Instruct_prefill
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Llama-3.3-70B
gemm
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Llama-3.3-70B-Instruct_prefill
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Llama-3.3-70B
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Llama-3.3-70B-Instruct_prefill
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Llama-3.3-70B
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Llama-3.3-70B-Instruct_prefill
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Llama-3.3-70B
gemm
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Llama-3.3-70B-Instruct_prefill
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Llama-3.3-70B
gemm
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Llama-3.3-70B-Instruct_prefill
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Llama-3.3-70B
gemm
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Llama-3.3-70B-Instruct_prefill
A100
Llama-3.3-70B
gemm
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Llama-3.3-70B-Instruct_prefill
A100
Llama-3.3-70B
gemm
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Llama-3.3-70B-Instruct_prefill
A100
Llama-3.3-70B
gemm
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Llama-3.3-70B-Instruct_prefill
A100
Llama-3.3-70B
gemm
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Llama-3.3-70B-Instruct_prefill
A100
Llama-3.3-70B
gemm
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Llama-3.3-70B-Instruct_prefill
A100
Llama-3.3-70B
gemm
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