HUGGING FACE MODEL INDEX

Search and compare Hugging Face models.

2,700,638 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.

video-classification

facebook/vjepa2-vitl-fpc16-256-ssv2

facebook/vjepa2-vitl-fpc16-256-ssv2 is a video classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 40,674♡ 15
Unknown8 GB+ VRAMmit
Deployment details →
text-to-image

unsloth/FLUX.1-dev-GGUF

unsloth/FLUX.1-dev-GGUF is a text to image model indexed for deployment research. Estimated minimum GPU memory is 12 GB. It is publicly listed on Hugging Face.

↓ 40,658♡ 27
Unknown12 GB+ VRAMother
Deployment details →
text-generation

ibm-granite/granite-3b-code-base-2k

ibm-granite/granite-3b-code-base-2k is a text generation model indexed for deployment research. Estimated minimum GPU memory is 12 GB. It is publicly listed on Hugging Face.

↓ 40,618♡ 38
3.0B12 GB+ VRAMapache-2.0
Deployment details →
text-generation

echarlaix/tiny-random-PhiForCausalLM

echarlaix/tiny-random-PhiForCausalLM is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 40,586♡ 0
Unknown8 GB+ VRAMapache-2.0
Deployment details →
general AI

DeepBeepMeep/TTS

DeepBeepMeep/TTS is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 40,586♡ 0
Unknown8 GB+ VRAMLicense unknown
Deployment details →
audio-text-to-text

mistralai/Voxtral-Small-24B-2507

mistralai/Voxtral-Small-24B-2507 is a audio text to text model indexed for deployment research. Estimated minimum GPU memory is 64 GB. It is publicly listed on Hugging Face.

↓ 40,562♡ 525
24.0B64 GB+ VRAMapache-2.0
Deployment details →
general AI

facebook/cotracker3

facebook/cotracker3 is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 40,461♡ 34
Unknown8 GB+ VRAMcc-by-nc-4.0
Deployment details →
image-text-to-text

m8than/gemma-3-27b-lenientchatfix

m8than/gemma-3-27b-lenientchatfix is a image text to text model indexed for deployment research. Estimated minimum GPU memory is 64 GB. It is publicly listed on Hugging Face.

↓ 40,442♡ 0
27.0B64 GB+ VRAMgemma
Deployment details →
image-text-to-text

amd/Qwen3.5-397B-A17B-MXFP4

amd/Qwen3.5-397B-A17B-MXFP4 is a image text to text model indexed for deployment research. Estimated minimum GPU memory is 256 GB. It is publicly listed on Hugging Face.

↓ 40,355♡ 6
397.0B256 GB+ VRAMapache-2.0
Deployment details →
automatic-speech-recognition

nvidia/diar_streaming_sortformer_4spk-v2

nvidia/diar_streaming_sortformer_4spk-v2 is a automatic speech recognition model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 40,250♡ 140
Unknown8 GB+ VRAMcc-by-4.0
Deployment details →
text-generation

JackFram/llama-160m

JackFram/llama-160m is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 40,239♡ 37
Unknown8 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text

dealignai/Qwen3.8-27B-UNCENSORED-GGUF

dealignai/Qwen3.8-27B-UNCENSORED-GGUF is a image text to text model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.

↓ 40,199♡ 62
27.0B24 GB+ VRAMapache-2.0
Deployment details →
token-classification

jjzha/escoxlmr_knowledge_extraction

jjzha/escoxlmr_knowledge_extraction is a token classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 40,193♡ 2
Unknown8 GB+ VRAMapache-2.0
Deployment details →
question-answering

deepset/xlm-roberta-base-squad2

deepset/xlm-roberta-base-squad2 is a question answering model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 40,172♡ 26
Unknown8 GB+ VRAMcc-by-4.0
Deployment details →