HUGGING FACE MODEL INDEX

Search and compare Hugging Face models.

1,778,968 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.

text-generation

Abiray/Nanbeige4.2-3B-GGUF

Abiray/Nanbeige4.2-3B-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.

↓ 1,766♡ 16
3.0B4 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text

kizzlah/Ornith-1.5-9B-GGUF

kizzlah/Ornith-1.5-9B-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.

↓ 1,766♡ 0
9.0B8 GB+ VRAMmit
Deployment details →
general AI

AesSedai/GLM-5.3-Flash-GGUF

AesSedai/GLM-5.3-Flash-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,766♡ 5
Unknown8 GB+ VRAMLicense unknown
Deployment details →
general AI

mmnga/plamo-2-translate-gguf

mmnga/plamo-2-translate-gguf is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,765♡ 22
Unknown8 GB+ VRAMother
Deployment details →
text-generation

LiquidAI/LFM2-2.6B-Transcript

LiquidAI/LFM2-2.6B-Transcript is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,765♡ 173
2.6B8 GB+ VRAMother
Deployment details →
text-generation

TobDeBer/Laguna-S-2.1-GGUF

TobDeBer/Laguna-S-2.1-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,765♡ 0
Unknown8 GB+ VRAMopenmdw-1.1
Deployment details →
text-generationGated

inception42/Jais-2-70B-Chat

inception42/Jais-2-70B-Chat is a text generation model indexed for deployment research. Estimated minimum GPU memory is 192 GB. Access approval is required on Hugging Face.

↓ 1,765♡ 27
70.0B192 GB+ VRAMapache-2.0
Deployment details →
automatic-speech-recognition

ibm-granite/granite-speech-5.0-470m-turboctc-nc

ibm-granite/granite-speech-5.0-470m-turboctc-nc is a automatic speech recognition model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,765♡ 30
Unknown8 GB+ VRAMcc-by-nc-sa-4.0
Deployment details →
text-generation

canada-quant/GLM-5.2-W4A16-MTP

canada-quant/GLM-5.2-W4A16-MTP is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,764♡ 21
Unknown8 GB+ VRAMmit
Deployment details →
general AI

mradermacher/OpenELM-3B-GGUF

mradermacher/OpenELM-3B-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.

↓ 1,763♡ 0
3.0B4 GB+ VRAMapple-amlr
Deployment details →
image-to-video

Skywork/SkyReels-V3-A2V-19B

Skywork/SkyReels-V3-A2V-19B is a image to video model indexed for deployment research. Estimated minimum GPU memory is 48 GB. It is publicly listed on Hugging Face.

↓ 1,763♡ 98
19.0B48 GB+ VRAMother
Deployment details →
text-generation

Avesed/Qwen3.6-27B-INT4-W4A16

Avesed/Qwen3.6-27B-INT4-W4A16 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.

↓ 1,763♡ 2
27.0B24 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text

AX1Y2JP/LFM2.5-VL-3B-heretic-GGUF

AX1Y2JP/LFM2.5-VL-3B-heretic-GGUF is a image text to text model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.

↓ 1,763♡ 2
3.0B4 GB+ VRAMother
Deployment details →
text-generation

litert-community/Qwen3.5-0.8B

litert-community/Qwen3.5-0.8B is a text generation model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.

↓ 1,763♡ 3
800M4 GB+ VRAMapache-2.0
Deployment details →
image-classification

prithivMLmods/Watermark-Detection-SigLIP2

prithivMLmods/Watermark-Detection-SigLIP2 is a image classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,762♡ 32
Unknown8 GB+ VRAMapache-2.0
Deployment details →