HUGGING FACE MODEL INDEX

Search and compare Hugging Face models.

2,682,125 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.

text-generation

unsloth/gemma-3-1b-it-GGUF

unsloth/gemma-3-1b-it-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.

↓ 45,728♡ 94
1.0B4 GB+ VRAMgemma
Deployment details →
text-generation

ai-forever/rugpt3small_based_on_gpt2

ai-forever/rugpt3small_based_on_gpt2 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 45,659♡ 58
Unknown8 GB+ VRAMLicense unknown
Deployment details →
text-to-image

TencentARC/PhotoMaker

TencentARC/PhotoMaker is a text to image model indexed for deployment research. Estimated minimum GPU memory is 12 GB. It is publicly listed on Hugging Face.

↓ 45,628♡ 437
Unknown12 GB+ VRAMapache-2.0
Deployment details →
automatic-speech-recognition

moonshine-ai/moonshine-tiny

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

↓ 45,582♡ 48
Unknown8 GB+ VRAMmit
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text-generation

bartowski/THUDM_GLM-4-32B-0414-GGUF

bartowski/THUDM_GLM-4-32B-0414-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.

↓ 45,569♡ 101
32.0B24 GB+ VRAMmit
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time-series-forecasting

AutonLab/MOMENT-1-base

AutonLab/MOMENT-1-base is a time series forecasting model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 45,560♡ 7
Unknown8 GB+ VRAMmit
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text-generation

h2oai/h2ovl-mississippi-2b

h2oai/h2ovl-mississippi-2b is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 45,552♡ 44
2.0B8 GB+ VRAMapache-2.0
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text-generation

Salesforce/codegen2-16B_P

Salesforce/codegen2-16B_P is a text generation model indexed for deployment research. Estimated minimum GPU memory is 48 GB. It is publicly listed on Hugging Face.

↓ 45,500♡ 45
16.0B48 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text

Qwen/Qwen3-VL-2B-Instruct-FP8

Qwen/Qwen3-VL-2B-Instruct-FP8 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.

↓ 45,495♡ 45
2.0B8 GB+ VRAMapache-2.0
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image-classification

timm/vit_tiny_patch16_224.augreg_in21k

timm/vit_tiny_patch16_224.augreg_in21k is a image classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 45,477♡ 5
Unknown8 GB+ VRAMapache-2.0
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text-generation

cyankiwi/KAT-Coder-V2.5-Dev-AWQ-INT4

cyankiwi/KAT-Coder-V2.5-Dev-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.

↓ 45,418♡ 6
Unknown8 GB+ VRAMapache-2.0
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any-to-any

ggml-org/Qwen2.5-Omni-7B-GGUF

ggml-org/Qwen2.5-Omni-7B-GGUF is a any to any model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 45,328♡ 24
7.0B8 GB+ VRAMother
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text-generation

KBlueLeaf/TIPO-500M-ft

KBlueLeaf/TIPO-500M-ft is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 45,260♡ 48
Unknown8 GB+ VRAMother
Deployment details →
text-to-speech

mlx-community/Kokoro-82M-bf16

mlx-community/Kokoro-82M-bf16 is a text to speech model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 45,153♡ 67
Unknown8 GB+ VRAMapache-2.0
Deployment details →
zero-shot-image-classification

google/siglip-base-patch16-384

google/siglip-base-patch16-384 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.

↓ 45,087♡ 18
Unknown8 GB+ VRAMapache-2.0
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general AI

Forturne/Qwen3-Reranker-8B-NVFP4

Forturne/Qwen3-Reranker-8B-NVFP4 is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.

↓ 44,922♡ 1
8.0B24 GB+ VRAMLicense unknown
Deployment details →