HUGGING FACE MODEL INDEX

Search and compare Hugging Face models.

284,307 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.

image-text-to-text

cvgro/Muse-Glimmer-30B-Abliterated-GGUF

cvgro/Muse-Glimmer-30B-Abliterated-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.

10,5762
30.0B24 GB+ VRAMapache-2.0
Deployment details
text-classification

aquiro1994/naics-github-classifier

aquiro1994/naics-github-classifier is a text classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

10,5380
Unknown8 GB+ VRAMmit
Deployment details
text-generation

mlx-community/Qwen3.5-4B-OptiQ-4bit

mlx-community/Qwen3.5-4B-OptiQ-4bit is a text generation model indexed for deployment research. Estimated minimum GPU memory is 6 GB. It is publicly listed on Hugging Face.

10,53329
4.0B6 GB+ VRAMapache-2.0
Deployment details
text-generation

ibm-granite/granite-swash-3b-a600m

ibm-granite/granite-swash-3b-a600m is a text generation model indexed for deployment research. Estimated minimum GPU memory is 12 GB. It is publicly listed on Hugging Face.

10,49216
3.0B12 GB+ VRAMapache-2.0
Deployment details
visual-document-retrieval

vidore/colqwen2-v0.1

vidore/colqwen2-v0.1 is a visual document retrieval model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

10,446197
Unknown8 GB+ VRAMapache-2.0
Deployment details
automatic-speech-recognition

handy-computer/gigaam-v3-ctc-gguf

handy-computer/gigaam-v3-ctc-gguf is a automatic speech recognition model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

10,3700
Unknown8 GB+ VRAMmit
Deployment details
image-text-to-text

cyankiwi/Qwen3-VL-32B-Instruct-AWQ-4bit

cyankiwi/Qwen3-VL-32B-Instruct-AWQ-4bit 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.

10,3626
32.0B24 GB+ VRAMapache-2.0
Deployment details
image-text-to-text

empero-ai/Qwable-9B-Claude-Fable-5-GGUF

empero-ai/Qwable-9B-Claude-Fable-5-GGUF 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.

10,35582
9.0B8 GB+ VRAMapache-2.0
Deployment details
token-classification

stanfordnlp/stanza-en

stanfordnlp/stanza-en is a token classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

10,34417
Unknown8 GB+ VRAMapache-2.0
Deployment details
text-generation

cyankiwi/Ornith-1.0-9B-AWQ-INT4

cyankiwi/Ornith-1.0-9B-AWQ-INT4 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

10,3331
9.0B8 GB+ VRAMmit
Deployment details
text-generation

openbmb/MiniCPM5-1B-Base

openbmb/MiniCPM5-1B-Base is a text generation model indexed for deployment research. Estimated minimum GPU memory is 6 GB. It is publicly listed on Hugging Face.

10,33114
1.0B6 GB+ VRAMapache-2.0
Deployment details
text-generation

abenzerps/Apodex-1.1-mini-GGUF

abenzerps/Apodex-1.1-mini-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

10,29912
Unknown8 GB+ VRAMapache-2.0
Deployment details
text-generation

Avifenesh/Qwen3.8-27B-NVFP4-MTP-GGUF

Avifenesh/Qwen3.8-27B-NVFP4-MTP-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.

10,2350
27.0B24 GB+ VRAMapache-2.0
Deployment details
text-generation

lactroiii/Qwen3.8-27B-Uncensored-GGUF

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

10,2172
27.0B24 GB+ VRAMapache-2.0
Deployment details