distilgpt2 vs pythia-160m

Specs, VRAM requirements and download trends — updated 10 November 2026.

distilbert · A · Open weights
Params
90 M
Context
—
30d
1.5 M
apache-2.0 · commercial OK
EleutherAI · B · Open weights
Params
210 M
Context
2,048
30d
3.5 M
apache-2.0 · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification distilgpt2 pythia-160m
Parameters 90 M 210 M
Architecture GPT2LMHeadModel GPTNeoXForCausalLM
Context length — 2,048
Licence apache-2.0 apache-2.0
Commercial use Allowed Allowed
Languages 1 1
Downloads 30d 1,481,788 3,495,753
Downloads all time 259.1 M 32.2 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2022-03-02 2023-02-08

Download trend

Daily snapshots, last 90 days (13 Aug – 10 Nov)

3.5 M1.5 M
distilgpt2 pythia-160m

VRAM side by side

On RTX 4090 · 24 GB · 8K context unless noted

distilgpt2 · fp16 0.9 GB / 24 GB
✅ Runs comfortably
pythia-160m · fp16 0.9 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons