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Model reference · open weights

gpt2-custom

LLMs EleutherAI Text gen 1 build Licence not stated 281 dl/mo

gpt2-custom is an open-weight language model from EleutherAI. gpt2-custom (FP32) weighs 249 MB; the smallest configuration that runs it is RTX 3060 12 GB.

Hugging Face ↗GitHub ↗Paper ↗

What it is

Released byEleutherAI
Released2026-08-21
Parameters124M
VRAM249 MB for the weights

What it runs on

Memory and cards for gpt2-custom (FP32)

249 MBweights, file size
37 MBcache per 1K tokens
519 MBruntime overhead, at least
1,024 tokenscontext max
CardRequests at onceContext maxMemory
1K each
RTX 3060 12 GB287all 1K11.6 GB
RTX 4060 Ti 16 GB387all 1K15.4 GB
RTX 3090 24 GB599all 1K23.4 GB
RTX 4090 24 GB598all 1K23.4 GB
RTX 5090 32 GB801all 1K31.0 GB
L40S 48 GB1000+all 1K44.0 GB
A100 80 GB1000+all 1K78.2 GB
H100 80 GB1000+all 1K78.1 GB
RTX PRO 6000 Blackwell 96 GB1000+all 1K93.8 GB
DGX Spark (GB10) 128 GB unified1000+all 1K107 GB
H200 141 GB1000+all 1K138 GB
B200 180 GB1000+all 1K176 GB
Memory needed at each load
Requests at once1K tokens each
1805 MB
5956 MB
81.1 GB
161.4 GB
322.0 GB
643.2 GB

One card, with vLLM's small-card settings.

From the model card

What EleutherAI says about gpt2-custom

Model Details

Model Description

This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

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Quoted from the model card on Hugging Face. The full card is behind the Hugging Face link above.

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