HUGGING FACE MODEL INDEX

Search and compare Hugging Face models.

2,375,304 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.

text-generation

ibm-granite/granite-4.1-30b

ibm-granite/granite-4.1-30b is a text generation model indexed for deployment research. Estimated minimum GPU memory is 80 GB. It is publicly listed on Hugging Face.

↓ 593,208♡ 146
30.0B80 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text

QuantTrio/Qwen3.6-27B-AWQ

QuantTrio/Qwen3.6-27B-AWQ 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.

↓ 591,271♡ 25
27.0B64 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text

unsloth/gemma-4-E2B-it-GGUF

unsloth/gemma-4-E2B-it-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.

↓ 589,736♡ 302
Unknown8 GB+ VRAMapache-2.0
Deployment details →
text-generation

microsoft/phi-2

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

↓ 586,842♡ 3,524
Unknown8 GB+ VRAMmit
Deployment details →
image-text-to-text

AEON-7/Qwen3.6-35B-A3B-heretic-NVFP4

AEON-7/Qwen3.6-35B-A3B-heretic-NVFP4 is a image text to text model indexed for deployment research. Estimated minimum GPU memory is 80 GB. It is publicly listed on Hugging Face.

↓ 583,592♡ 71
35.0B80 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text

lmstudio-community/Qwen3.5-9B-MLX-8bit

lmstudio-community/Qwen3.5-9B-MLX-8bit is a image text to text model indexed for deployment research. Estimated minimum GPU memory is 12 GB. It is publicly listed on Hugging Face.

↓ 583,404♡ 1
9.0B12 GB+ VRAMapache-2.0
Deployment details →
any-to-any

unsloth/gemma-4-E2B-it-qat-GGUF

unsloth/gemma-4-E2B-it-qat-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.

↓ 580,583♡ 74
Unknown8 GB+ VRAMapache-2.0
Deployment details →
text-generation

llamafactory/tiny-random-Llama-3

llamafactory/tiny-random-Llama-3 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 572,237♡ 4
Unknown8 GB+ VRAMapache-2.0
Deployment details →
general AI

lmstudio-community/Qwen3.5-9B-GGUF

lmstudio-community/Qwen3.5-9B-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 572,183♡ 65
9.0B8 GB+ VRAMapache-2.0
Deployment details →
image-to-text

Salesforce/blip-image-captioning-large

Salesforce/blip-image-captioning-large is a image to text model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 571,700♡ 1,495
Unknown8 GB+ VRAMbsd-3-clause
Deployment details →
image-text-to-text

google/gemma-4-26B-A4B-it-qat-q4_0-gguf

google/gemma-4-26B-A4B-it-qat-q4_0-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.

↓ 569,450♡ 164
26.0B24 GB+ VRAMapache-2.0
Deployment details →
general AI

PaddlePaddle/PaddleOCR-VL-1.6-GGUF

PaddlePaddle/PaddleOCR-VL-1.6-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 566,010♡ 66
Unknown8 GB+ VRAMapache-2.0
Deployment details →
text-generation

Qwen/Qwen3-Coder-30B-A3B-Instruct

Qwen/Qwen3-Coder-30B-A3B-Instruct is a text generation model indexed for deployment research. Estimated minimum GPU memory is 80 GB. It is publicly listed on Hugging Face.

↓ 564,937♡ 1,251
30.0B80 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text

Qwen/Qwen3.5-4B-Base

Qwen/Qwen3.5-4B-Base is a image text to text model indexed for deployment research. Estimated minimum GPU memory is 12 GB. It is publicly listed on Hugging Face.

↓ 564,106♡ 90
4.0B12 GB+ VRAMapache-2.0
Deployment details →
any-to-any

google/gemma-4-E4B

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

↓ 559,734♡ 413
Unknown8 GB+ VRAMapache-2.0
Deployment details →
feature-extraction

RamManavalan/Qwen3-VL-Embedding-8B-FP8

RamManavalan/Qwen3-VL-Embedding-8B-FP8 is a feature extraction model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.

↓ 556,461♡ 5
8.0B24 GB+ VRAMapache-2.0
Deployment details →
image-to-text

PaddlePaddle/PP-OCRv5_server_det

PaddlePaddle/PP-OCRv5_server_det is a image to text model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 554,989♡ 75
Unknown8 GB+ VRAMapache-2.0
Deployment details →
sentence-similarity

sentence-transformers/LaBSE

sentence-transformers/LaBSE is a sentence similarity model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.

↓ 551,309♡ 349
Unknown4 GB+ VRAMapache-2.0
Deployment details →