INDEPENDENT HUGGING FACE MODEL INDEX

Choose the Hugging Face model
your hardware can run.

Explore public Hugging Face models by task, license, size and estimated VRAM. Compare model metadata before you commit engineering time or GPU budget.

2,968,598 indexed models2,765,053,163 combined downloadsUpdated from the official Hub API
Runs on 8 GBRuns on 24 GBCommercial-friendlyRecently updated
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sentence-similarity

sentence-transformers/all-MiniLM-L6-v2

sentence-transformers/all-MiniLM-L6-v2 is a sentence similarity model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.

↓ 179,340,518♡ 6,072
Unknown4 GB+ VRAMapache-2.0
Deployment details →
text-ranking

cross-encoder/ms-marco-MiniLM-L6-v2

cross-encoder/ms-marco-MiniLM-L6-v2 is a text ranking model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 64,330,758♡ 439
Unknown8 GB+ VRAMapache-2.0
Deployment details →
feature-extraction

BAAI/bge-small-en-v1.5

BAAI/bge-small-en-v1.5 is a feature extraction model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.

↓ 48,008,695♡ 667
Unknown4 GB+ VRAMmit
Deployment details →
automatic-speech-recognition

argmaxinc/whisperkit-coreml

argmaxinc/whisperkit-coreml is a automatic speech recognition model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 41,163,594♡ 260
Unknown8 GB+ VRAMmit
Deployment details →
general AI

Comfy-Org/MiniMax-H3

Comfy-Org/MiniMax-H3 is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 32,028,280♡ 2,535
Unknown8 GB+ VRAMother
Deployment details →
text-generation

openai-community/gpt2

openai-community/gpt2 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 30,819,442♡ 3,918
Unknown8 GB+ VRAMmit
Deployment details →
fill-mask

google-bert/bert-base-uncased

google-bert/bert-base-uncased is a fill mask model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 30,393,311♡ 3,062
Unknown8 GB+ VRAMapache-2.0
Deployment details →
sentence-similarity

BAAI/bge-m3

BAAI/bge-m3 is a sentence similarity model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.

↓ 30,047,805♡ 3,969
Unknown4 GB+ VRAMmit
Deployment details →
time-series-forecasting

autogluon/chronos-2

autogluon/chronos-2 is a time series forecasting model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 27,092,791♡ 94
Unknown8 GB+ VRAMapache-2.0
Deployment details →
translation

google-t5/t5-small

google-t5/t5-small is a translation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 22,290,342♡ 692
Unknown8 GB+ VRAMapache-2.0
Deployment details →
text-generation

Qwen/Qwen3-0.6B

Qwen/Qwen3-0.6B is a text generation model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.

↓ 21,472,241♡ 1,881
600M4 GB+ VRAMapache-2.0
Deployment details →
01

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02

Compare tradeoffs

Put up to four models side by side before downloading weights or paying for compute.

03

Plan deployment

Use transparent memory estimates as a starting point, then verify at the source.

HOW THE INDEX WORKS

From Hugging Face metadata to deployment decisions

Official source metadata

AI Pentium organizes public metadata from the Hugging Face Hub API, including task, library, downloads, likes and declared license.

Independent derived estimates

Parameter counts and model signals are converted into directional GPU VRAM tiers so you can shortlist models faster.

Verify before use

Each result links to the original Hugging Face repository where you should confirm weights, model-card guidance, license terms and limitations.

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