HUGGING FACE MODEL INDEX

Search and compare Hugging Face models.

2,716,637 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.

text-generation

mlx-community/Qwen3-4B-4bit

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

↓ 26,072♡ 16
4.0B6 GB+ VRAMapache-2.0
Deployment details →
text-classification

BAAI/bge-reranker-v2-minicpm-layerwise

BAAI/bge-reranker-v2-minicpm-layerwise is a text classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 26,047♡ 64
Unknown8 GB+ VRAMapache-2.0
Deployment details →
image-classification

timm/resnext50_32x4d.a1h_in1k

timm/resnext50_32x4d.a1h_in1k is a image classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 26,028♡ 1
Unknown8 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text

stepfun-ai/Step3-VL-10B

stepfun-ai/Step3-VL-10B 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.

↓ 26,024♡ 414
10.0B24 GB+ VRAMapache-2.0
Deployment details →
general AI

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

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

↓ 25,987♡ 43
4.0B6 GB+ VRAMapache-2.0
Deployment details →
visual-document-retrieval

vidore/colqwen2-v1.0-hf

vidore/colqwen2-v1.0-hf is a visual document retrieval model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 25,871♡ 23
Unknown8 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text

HuggingFaceTB/SmolVLM-Instruct

HuggingFaceTB/SmolVLM-Instruct 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.

↓ 25,848♡ 600
Unknown8 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text

TeichAI/Qwen3.8-27B-Fable-Distill-GGUF

TeichAI/Qwen3.8-27B-Fable-Distill-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.

↓ 25,838♡ 34
27.0B24 GB+ VRAMapache-2.0
Deployment details →
feature-extraction

darkmaniac7/bge-small-en-MNN

darkmaniac7/bge-small-en-MNN is a feature extraction model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.

↓ 25,824♡ 0
Unknown4 GB+ VRAMmit
Deployment details →
image-text-to-text

cyankiwi/Qwen3.5-122B-A10B-AWQ-4bit

cyankiwi/Qwen3.5-122B-A10B-AWQ-4bit is a image text to text model indexed for deployment research. Estimated minimum GPU memory is 96 GB. It is publicly listed on Hugging Face.

↓ 25,824♡ 43
122.0B96 GB+ VRAMapache-2.0
Deployment details →
zero-shot-image-classification

q-future/one-align

q-future/one-align is a zero shot image classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 25,713♡ 46
Unknown8 GB+ VRAMmit
Deployment details →
text-generation

OuteAI/Lite-Oute-1-300M

OuteAI/Lite-Oute-1-300M is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 25,672♡ 9
Unknown8 GB+ VRAMapache-2.0
Deployment details →
depth-estimation

Intel/dpt-large

Intel/dpt-large is a depth estimation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 25,630♡ 208
Unknown8 GB+ VRAMapache-2.0
Deployment details →
text-ranking

jinaai/jina-reranker-v1-turbo-en

jinaai/jina-reranker-v1-turbo-en is a text ranking model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 25,628♡ 67
Unknown8 GB+ VRAMapache-2.0
Deployment details →
fill-mask

DeepChem/ChemBERTa-100M-MLM

DeepChem/ChemBERTa-100M-MLM is a fill mask model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 25,627♡ 9
Unknown8 GB+ VRAMmit
Deployment details →
text-generation

echarlaix/tiny-mpt-random-remote-code

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

↓ 25,603♡ 0
Unknown8 GB+ VRAMapache-2.0
Deployment details →