HUGGING FACE MODEL INDEX

Search and compare Hugging Face models.

2,536,285 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.

image-text-to-text

Qwen/Qwen3-VL-4B-Instruct-GGUF

Qwen/Qwen3-VL-4B-Instruct-GGUF is a image text to text model indexed for deployment research. Estimated minimum GPU memory is 6 GB. It is publicly listed on Hugging Face.

↓ 148,375♡ 59
4.0B6 GB+ VRAMapache-2.0
Deployment details →
text-to-speech

pnnbao-ump/VieNeu-TTS-0.3B-q4-gguf

pnnbao-ump/VieNeu-TTS-0.3B-q4-gguf is a text to speech model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.

↓ 148,073♡ 6
300M4 GB+ VRAMcc-by-nc-4.0
Deployment details →
feature-extraction

unslothai/vram-96

unslothai/vram-96 is a feature extraction model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.

↓ 147,087♡ 0
Unknown4 GB+ VRAMLicense unknown
Deployment details →
text-generation

unsloth/Qwen3-14B-unsloth-bnb-4bit

unsloth/Qwen3-14B-unsloth-bnb-4bit is a text generation model indexed for deployment research. Estimated minimum GPU memory is 12 GB. It is publicly listed on Hugging Face.

↓ 146,877♡ 18
14.0B12 GB+ VRAMapache-2.0
Deployment details →
text-generation

deepseek-ai/DeepSeek-V2-Lite

deepseek-ai/DeepSeek-V2-Lite is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 146,656♡ 209
Unknown8 GB+ VRAMother
Deployment details →
keypoint-detection

usyd-community/vitpose-base-simple

usyd-community/vitpose-base-simple is a keypoint detection model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 146,529♡ 34
Unknown8 GB+ VRAMapache-2.0
Deployment details →
image-classification

timm/vgg16.tv_in1k

timm/vgg16.tv_in1k is a image classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 146,319♡ 8
Unknown8 GB+ VRAMbsd-3-clause
Deployment details →
token-classification

Qwen/Qwen3-ForcedAligner-0.6B-hf

Qwen/Qwen3-ForcedAligner-0.6B-hf is a token classification model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.

↓ 146,238♡ 35
600M4 GB+ VRAMapache-2.0
Deployment details →
feature-extraction

unslothai/vram-40

unslothai/vram-40 is a feature extraction model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.

↓ 146,224♡ 0
Unknown4 GB+ VRAMLicense unknown
Deployment details →
general AI

Qwen/Qwen3-Embedding-0.6B-GGUF

Qwen/Qwen3-Embedding-0.6B-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.

↓ 145,983♡ 577
600M4 GB+ VRAMapache-2.0
Deployment details →
image-feature-extraction

timm/vit_large_patch14_reg4_dinov2.lvd142m

timm/vit_large_patch14_reg4_dinov2.lvd142m is a image feature extraction model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 145,510♡ 7
Unknown8 GB+ VRAMapache-2.0
Deployment details →
time-series-forecasting

amazon/chronos-t5-large

amazon/chronos-t5-large is a time series forecasting model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 145,189♡ 179
Unknown8 GB+ VRAMapache-2.0
Deployment details →
image-classification

timm/efficientnetv2_rw_m.agc_in1k

timm/efficientnetv2_rw_m.agc_in1k is a image classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 145,095♡ 2
Unknown8 GB+ VRAMapache-2.0
Deployment details →
text-generation

Qwen/Qwen3-Next-80B-A3B-Instruct-FP8

Qwen/Qwen3-Next-80B-A3B-Instruct-FP8 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 192 GB. It is publicly listed on Hugging Face.

↓ 144,907♡ 91
80.0B192 GB+ VRAMapache-2.0
Deployment details →