The TinyLlama project aims to
pretrain
a
1.1B Llama model on 3 trillion tokens
. With some proper optimization, we can achieve this within a span of "just" 90 days using 16 A100-40G GPUs 🚀🚀. The training has started on 2023-09-01.
We adopted exactly the same architecture and tokenizer as Llama 2. This means TinyLlama can be plugged and played in many open-source projects built upon Llama. Besides, TinyLlama is compact with only 1.1B parameters. This compactness allows it to cater to a multitude of applications demanding a restricted computation and memory footprint.
This Collection
This collection contains all checkpoints after the 1T fix. Branch name indicates the step and number of tokens seen.
Eval
Model
Pretrain Tokens
HellaSwag
Obqa
WinoGrande
ARC_c
ARC_e
boolq
piqa
avg
Pythia-1.0B
300B
47.16
31.40
53.43
27.05
48.99
60.83
69.21
48.30
TinyLlama-1.1B-intermediate-step-50K-104b
103B
43.50
29.80
53.28
24.32
44.91
59.66
67.30
46.11
TinyLlama-1.1B-intermediate-step-240k-503b
503B
49.56
31.40
55.80
26.54
48.32
56.91
69.42
48.28
TinyLlama-1.1B-intermediate-step-480k-1007B
1007B
52.54
33.40
55.96
27.82
52.36
59.54
69.91
50.22
TinyLlama-1.1B-intermediate-step-715k-1.5T
1.5T
53.68
35.20
58.33
29.18
51.89
59.08
71.65
51.29
TinyLlama-1.1B-intermediate-step-955k-2T
2T
54.63
33.40
56.83
28.07
54.67
63.21
70.67
51.64
TinyLlama-1.1B-intermediate-step-1195k-token-2.5T
2.5T
58.96
34.40
58.72
31.91
56.78
63.21
73.07
53.86
Runs of TinyLlama TinyLlama-1.1B-intermediate-step-1195k-token-2.5T on huggingface.co
810
Total runs
0
24-hour runs
-6
3-day runs
12
7-day runs
395
30-day runs
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