HUGGING FACE MODEL INDEX

Search and compare Hugging Face models.

2,367,304 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.

image-text-to-text

Qwen/Qwen3-VL-8B-Instruct

Qwen/Qwen3-VL-8B-Instruct 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.

↓ 5,227,079♡ 1,219
8.0B24 GB+ VRAMapache-2.0
Deployment details →
image-text-to-video

MiniMaxAI/MiniMax-H3

MiniMaxAI/MiniMax-H3 is a image text to video model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 5,099,332♡ 6,337
Unknown8 GB+ VRAMother
Deployment details →
text-generation

ornith-ai/Ornith-1.5-9B-GGUF

ornith-ai/Ornith-1.5-9B-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 5,096,314♡ 588
9.0B8 GB+ VRAMmit
Deployment details →
image-text-to-text

Qwen/Qwen2.5-VL-7B-Instruct

Qwen/Qwen2.5-VL-7B-Instruct 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.

↓ 5,072,453♡ 1,753
7.0B24 GB+ VRAMapache-2.0
Deployment details →
automatic-speech-recognitionGated

pyannote/speaker-diarization-community-1

pyannote/speaker-diarization-community-1 is a automatic speech recognition model indexed for deployment research. Estimated minimum GPU memory is 8 GB. Access approval is required on Hugging Face.

↓ 5,047,935♡ 3,327
Unknown8 GB+ VRAMcc-by-4.0
Deployment details →
text-generationGated

meta-llama/Llama-3.1-8B-Instruct

meta-llama/Llama-3.1-8B-Instruct is a text generation model indexed for deployment research. Estimated minimum GPU memory is 24 GB. Access approval is required on Hugging Face.

↓ 4,880,965♡ 8,587
8.0B24 GB+ VRAMllama3.1
Deployment details →
automatic-speech-recognition

Systran/faster-whisper-small

Systran/faster-whisper-small is a automatic speech recognition model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 4,760,236♡ 82
Unknown8 GB+ VRAMmit
Deployment details →
text-classification

SamLowe/roberta-base-go_emotions

SamLowe/roberta-base-go_emotions is a text classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 4,727,963♡ 715
Unknown8 GB+ VRAMmit
Deployment details →
text-generation

Qwen/Qwen2.5-1.5B-Instruct

Qwen/Qwen2.5-1.5B-Instruct is a text generation model indexed for deployment research. Estimated minimum GPU memory is 6 GB. It is publicly listed on Hugging Face.

↓ 4,705,359♡ 909
1.5B6 GB+ VRAMapache-2.0
Deployment details →
text-generation

dphn/dolphin-2.9.1-yi-1.5-34b

dphn/dolphin-2.9.1-yi-1.5-34b is a text generation model indexed for deployment research. Estimated minimum GPU memory is 80 GB. It is publicly listed on Hugging Face.

↓ 4,606,431♡ 86
34.0B80 GB+ VRAMapache-2.0
Deployment details →
fill-mask

facebook/esm2_t33_650M_UR50D

facebook/esm2_t33_650M_UR50D is a fill mask model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 4,551,239♡ 105
Unknown8 GB+ VRAMmit
Deployment details →
feature-extraction

Xenova/all-MiniLM-L6-v2

Xenova/all-MiniLM-L6-v2 is a feature extraction model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.

↓ 4,388,485♡ 174
Unknown4 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text

Qwen/Qwen3.8-27B-FP8

Qwen/Qwen3.8-27B-FP8 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.

↓ 4,375,626♡ 941
27.0B64 GB+ VRAMapache-2.0
Deployment details →
general AI

Comfy-Org/Wan_2.1_ComfyUI_repackaged

Comfy-Org/Wan_2.1_ComfyUI_repackaged is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 4,360,858♡ 1,019
Unknown8 GB+ VRAMapache-2.0
Deployment details →
text-generation

deepseek-ai/DeepSeek-V4-Flash-0731

deepseek-ai/DeepSeek-V4-Flash-0731 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 4,315,560♡ 4,089
Unknown8 GB+ VRAMmit
Deployment details →
general AI

Comfy-Org/Wan-2.1

Comfy-Org/Wan-2.1 is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 4,276,323♡ 1,023
Unknown8 GB+ VRAMapache-2.0
Deployment details →
text-generation

nvidia/Qwen3.6-35B-A3B-NVFP4

nvidia/Qwen3.6-35B-A3B-NVFP4 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 80 GB. It is publicly listed on Hugging Face.

↓ 4,142,396♡ 670
35.0B80 GB+ VRAMapache-2.0
Deployment details →
text-generation

Qwen/Qwen3-1.7B

Qwen/Qwen3-1.7B is a text generation model indexed for deployment research. Estimated minimum GPU memory is 6 GB. It is publicly listed on Hugging Face.

↓ 4,115,815♡ 593
1.7B6 GB+ VRAMapache-2.0
Deployment details →
automatic-speech-recognition

jonatasgrosman/wav2vec2-large-xlsr-53-russian

jonatasgrosman/wav2vec2-large-xlsr-53-russian is a automatic speech recognition model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 4,070,746♡ 88
Unknown8 GB+ VRAMapache-2.0
Deployment details →
zero-shot-image-classification

laion/CLIP-ViT-B-32-laion2B-s34B-b79K

laion/CLIP-ViT-B-32-laion2B-s34B-b79K 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.

↓ 4,033,309♡ 155
Unknown8 GB+ VRAMmit
Deployment details →
any-to-any

google/gemma-4-E4B-it

google/gemma-4-E4B-it is a any to any model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 4,002,133♡ 1,772
Unknown8 GB+ VRAMapache-2.0
Deployment details →