HUGGING FACE MODEL INDEX

Search and compare Hugging Face models.

1,902,945 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.

text-generation

allenai/OLMo-2-0325-32B-SFT

allenai/OLMo-2-0325-32B-SFT is a text generation model indexed for deployment research. Estimated minimum GPU memory is 80 GB. It is publicly listed on Hugging Face.

↓ 1,677♡ 4
32.0B80 GB+ VRAMapache-2.0
Deployment details →
robotics

lerobot/VLA-JEPA-LIBERO

lerobot/VLA-JEPA-LIBERO is a robotics model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,677♡ 10
Unknown8 GB+ VRAMapache-2.0
Deployment details →
reinforcement-learning

mradermacher/ATLAS-8B-Thinking-i1-GGUF

mradermacher/ATLAS-8B-Thinking-i1-GGUF is a reinforcement learning model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,676♡ 1
8.0B8 GB+ VRAMapache-2.0
Deployment details →
general AI

mradermacher/gpt-oss-20b-i1-GGUF

mradermacher/gpt-oss-20b-i1-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 16 GB. It is publicly listed on Hugging Face.

↓ 1,676♡ 1
20.0B16 GB+ VRAMapache-2.0
Deployment details →
general AI

jgebbeken/gemma-4-coder-gguf

jgebbeken/gemma-4-coder-gguf is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,676♡ 22
Unknown8 GB+ VRAMapache-2.0
Deployment details →
general AI

AesSedai/Motif-3-GGUF

AesSedai/Motif-3-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,676♡ 4
Unknown8 GB+ VRAMLicense unknown
Deployment details →
general AI

tencent/Hy-MT2-1.8B-2Bit-GGUF

tencent/Hy-MT2-1.8B-2Bit-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.

↓ 1,675♡ 14
1.8B4 GB+ VRAMapache-2.0
Deployment details →
voice-activity-detection

aufklarer/Silero-VAD-v6.2.1-CoreML

aufklarer/Silero-VAD-v6.2.1-CoreML is a voice activity detection model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,674♡ 1
Unknown8 GB+ VRAMmit
Deployment details →
text-to-speech

Thorsten-Voice/Kokoro

Thorsten-Voice/Kokoro is a text to speech model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,674♡ 0
Unknown8 GB+ VRAMapache-2.0
Deployment details →