A modified GPT-2 model with ScaledSinusoidal position embeddings, no biases, embedding layernorm, and one shared MLP layer, with 94 million non-embedding params, that beats most similarly sized and slightly larger models (GPT-2-124m, Pythia-70/160m, Cerebras-111m) on the
Open LLM Leaderboard
suite of benchmarks. All while only being trained on 8 billion tokens of text from
SlimPajama
.
You have to
pip install einops
before using this model!
|
avg
|
arc
|
hellaswag
|
mmlu
|
truthfulqa
|
|
30.76
|
22.18
|
29.75
|
26.24
|
44.88
|