Model
stringclasses
9 values
#Model Parameters (B)
int64
1
70
Draft (Assistant)
stringclasses
10 values
#Draft Parameters (B)
float64
0.27
13
Task
stringclasses
1 value
Total Parameter Size (B)
float64
1
83
Speculative Average time per input (ms)
float64
1.2k
6.01k
Speculative Average time per token (ms)
float64
9.96
55
Original Average time per input (ms)
float64
2.15k
12.4k
Original Average time per token (ms)
float64
17.9
114
Speedup
float64
1
2.84
Command
stringlengths
93
109
meta-llama/Llama-2-7b-hf
7
TinyLlama/TinyLlama_v1.1
1
summarization
8
2,771.54
21.65
3,368.48
26.32
1.22
python benchmark_decoder_summ.py meta-llama/Llama-2-7b-hf --aux-model TinyLlama/TinyLlama_v1.1 --dtype fp16
meta-llama/Llama-2-7b-hf
7
apple/OpenELM-270M
0.27
summarization
7.27
2,607.82
20.37
4,221.14
32.98
1.62
python benchmark_decoder_summ.py meta-llama/Llama-2-7b-hf --aux-model apple/OpenELM-270M --dtype fp16
meta-llama/Llama-2-7b-hf
7
apple/OpenELM-450M
0.45
summarization
7.45
3,324.68
25.97
4,178.66
32.65
1.26
python benchmark_decoder_summ.py meta-llama/Llama-2-7b-hf --aux-model apple/OpenELM-450M --dtype fp16
facebook/layerskip-llama2-7B
7
Early Exit @ Layer 4
null
summarization
7
2,548.4
19.91
3,306.73
25.83
1.297338
python benchmark_decoder_summ.py facebook/layerskip-llama2-7B --aux-early-exit 4 --dtype fp16
meta-llama/Llama-2-13b-hf
13
meta-llama/Llama-2-7b-hf
7
summarization
20
3,557.07
27.79
4,088.48
31.94
1.149334
python benchmark_decoder_summ.py meta-llama/Llama-2-13b-hf --aux-model meta-llama/Llama-2-7b-hf --dtype fp16
meta-llama/Llama-2-13b-hf
13
TinyLlama/TinyLlama_v1.1
1
summarization
14
2,901.92
22.67
4,190.42
32.74
1.444199
python benchmark_decoder_summ.py meta-llama/Llama-2-13b-hf --aux-model TinyLlama/TinyLlama_v1.1 --dtype fp16
meta-llama/Llama-2-13b-hf
13
apple/OpenELM-270M
0.27
summarization
13.27
2,883.33
22.53
4,521.12
35.32
1.567688
python benchmark_decoder_summ.py meta-llama/Llama-2-13b-hf --aux-model apple/OpenELM-270M --dtype fp16
meta-llama/Llama-2-13b-hf
13
apple/OpenELM-450M
0.45
summarization
13.45
3,267.69
25.53
4,321.75
33.76
1.322366
python benchmark_decoder_summ.py meta-llama/Llama-2-13b-hf --aux-model apple/OpenELM-450M --dtype fp16
facebook/layerskip-llama2-13B
13
Early Exit @ Layer 4
null
summarization
13
4,238.45
33.11
4,217.78
32.95
0.995168
python benchmark_decoder_summ.py facebook/layerskip-llama2-13B --aux-early-exit 4 --dtype fp16
facebook/layerskip-llama2-13B
13
Early Exit @ Layer 8
null
summarization
13
2,459.61
19.22
4,294.98
33.55
1.745578
python benchmark_decoder_summ.py facebook/layerskip-llama2-13B --aux-early-exit 8 --dtype fp16
facebook/layerskip-llama3.2-1B
1
Early Exit @ Layer 4
null
summarization
1
1,195.28
9.96
2,147.7
17.9
1.8
python benchmark_decoder_summ.py facebook/layerskip-llama3.2-1B --aux-early-exit 4 --dtype fp16
meta-llama/Meta-Llama-3-8B
8
meta-llama/Llama-3.2-1B
1
summarization
9
1,872.46
19.04
2,859.35
29.08
1.53
python benchmark_decoder_summ.py meta-llama/Meta-Llama-3-8B --aux-model meta-llama/Llama-3.2-1B --dtype fp16
meta-llama/Meta-Llama-3-8B
8
meta-llama/Llama-3.2-3B
3
summarization
11
2,814.82
28.63
2,825.36
28.73
1
python benchmark_decoder_summ.py meta-llama/Meta-Llama-3-8B --aux-model meta-llama/Llama-3.2-3B --dtype fp16
facebook/layerskip-llama3-8B
8
Early Exit @ Layer 4
null
summarization
8
1,949.02
15.75
3,571.81
28.87
1.83
python benchmark_decoder_summ.py facebook/layerskip-llama3-8B --aux-early-exit 4 --dtype fp16
meta-llama/Llama-2-70b-hf
70
meta-llama/Llama-2-13b-hf
13
summarization
83
5,036.54
46.3
12,289.01
112.97
2.439957
python benchmark_decoder_summ.py meta-llama/Llama-2-70b-hf --aux-model meta-llama/Llama-2-13b-hf --dtype fp16
meta-llama/Llama-2-70b-hf
70
meta-llama/Llama-2-7b-hf
7
summarization
77
4,357.55
40.06
12,324.19
113.3
2.828258
python benchmark_decoder_summ.py meta-llama/Llama-2-70b-hf --aux-model meta-llama/Llama-2-7b-hf --dtype fp16
meta-llama/Llama-2-70b-hf
70
TinyLlama/TinyLlama_v1.1
1
summarization
71
4,356.21
40.05
12,363.22
113.66
2.837953
python benchmark_decoder_summ.py meta-llama/Llama-2-70b-hf --aux-model TinyLlama/TinyLlama_v1.1 --dtype fp16
facebook/layerskip-llama2-70B
70
Early Exit @ Layer 10
null
summarization
70
6,012.04
54.96
12,383.34
113.2
2.06
python benchmark_decoder_summ.py facebook/layerskip-llama2-70B --aux-early-exit 10 --dtype fp16
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LayerSkip Assets

This dataset holds some of the assets for the blog post on LayerSkip.

PR: https://github.com/huggingface/blog/pull/2459

Contents:

  1. early_exit_self_speculative_decoding.ipynb: Notebook that deeps dive into the working of LayerSkip
  2. summarization.csv: A CSV containing the benchmark results for (self) speculative-decoding strategies.

Thanks to Mostafa (the first author of LayerSkip) for the assets 🤗

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