1,203,031 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.
docling-project/docling-layout-egret-xlarge is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
cyankiwi/Devstral-Small-2507-AWQ-4bit is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
mradermacher/Axon26-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.
Youssofal/Qwen3.6-35B-A3B-Abliterated-Heretic-MLX-4bit is a text generation model indexed for deployment research. Estimated minimum GPU memory is 32 GB. It is publicly listed on Hugging Face.
mradermacher/Qwen3.6-35B-A3B-StyleTune-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 32 GB. It is publicly listed on Hugging Face.
amd/Llama-3.1-8B-Instruct-w-int8-a-int8-sym-test is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 12 GB. It is publicly listed on Hugging Face.
mradermacher/Qwen3.8-27B-Palimpsest-i1-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.
EleutherAI/pythia-14m-seed1 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
EleutherAI/pythia-410m-seed6 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
Alibaba-DAMO-Academy/RynnBrain1.1-2B is a image text to text model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
SimpleStories/SimpleStories-V2-11M is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
sdadas/mmlw-e5-small is a sentence similarity model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
LiquidAI/LFM2.5-Audio-1.5B is a audio to audio model indexed for deployment research. Estimated minimum GPU memory is 6 GB. It is publicly listed on Hugging Face.
mradermacher/gemma-4-21b-a4b-it-REAP-heretic-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.
adsabs/astroBERT is a fill mask model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
mradermacher/Huihui-gemma-4-12B-agentic-fable5-abliterated-i1-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 12 GB. It is publicly listed on Hugging Face.
Mungert/Harbinger-24B-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.
r0b0tlab/Ling-3.0-flash-NVFP4 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
LuckyLiGY/MagicTryOn-1.3B is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 6 GB. It is publicly listed on Hugging Face.
lm-provers/QED-Nano is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
4ntoine/LocoOperator-4B-LiteRTLM is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 12 GB. It is publicly listed on Hugging Face.
tardellirs/gemma3moe-16x4-270m-starter is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
timodonnell/marinfold-contacts-v1-exp199-1_5b-step145199 is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 16 GB. It is publicly listed on Hugging Face.
KRLabsOrg/lettucedect-v2-mmbert-base is a token classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.