HUGGING FACE MODEL INDEX

Search and compare Hugging Face models.

2,417,302 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.

image-text-to-text

Qwen/Qwen3.5-27B-FP8

Qwen/Qwen3.5-27B-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.

↓ 202,781♡ 137
27.0B64 GB+ VRAMapache-2.0
Deployment details →
text-generation

Qwen/Qwen3-30B-A3B-FP8

Qwen/Qwen3-30B-A3B-FP8 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 80 GB. It is publicly listed on Hugging Face.

↓ 201,307♡ 88
30.0B80 GB+ VRAMapache-2.0
Deployment details →
text-generation

HuggingFaceTB/SmolLM2-1.7B-Instruct

HuggingFaceTB/SmolLM2-1.7B-Instruct is a text generation model indexed for deployment research. Estimated minimum GPU memory is 6 GB. It is publicly listed on Hugging Face.

↓ 201,197♡ 762
1.7B6 GB+ VRAMapache-2.0
Deployment details →
feature-extraction

OpenMOSS-Team/MOSS-Audio-Tokenizer

OpenMOSS-Team/MOSS-Audio-Tokenizer is a feature extraction model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.

↓ 201,111♡ 46
Unknown4 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text

moonshotai/Kimi-VL-A3B-Instruct

moonshotai/Kimi-VL-A3B-Instruct 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.

↓ 200,544♡ 284
Unknown8 GB+ VRAMmit
Deployment details →
automatic-speech-recognition

handy-computer/Qwen3-ASR-1.7B-gguf

handy-computer/Qwen3-ASR-1.7B-gguf is a automatic speech recognition model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.

↓ 200,383♡ 1
1.7B4 GB+ VRAMapache-2.0
Deployment details →
general AI

amd/DeepSeek-R1-MXFP4

amd/DeepSeek-R1-MXFP4 is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 200,294♡ 5
Unknown8 GB+ VRAMmit
Deployment details →
image-classification

timm/convnext_small.fb_in22k_ft_in1k_384

timm/convnext_small.fb_in22k_ft_in1k_384 is a image classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 199,159♡ 1
Unknown8 GB+ VRAMapache-2.0
Deployment details →
general AI

nomic-ai/CodeRankEmbed

nomic-ai/CodeRankEmbed is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 198,800♡ 78
Unknown8 GB+ VRAMmit
Deployment details →
general AI

AlfonsoM/Rocinante-12B-v1.1-GPTQ

AlfonsoM/Rocinante-12B-v1.1-GPTQ is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 32 GB. It is publicly listed on Hugging Face.

↓ 198,774♡ 0
12.0B32 GB+ VRAMapache-2.0
Deployment details →
general AI

mistralai/Voxtral-Mini-3B-2507

mistralai/Voxtral-Mini-3B-2507 is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 12 GB. It is publicly listed on Hugging Face.

↓ 198,668♡ 675
3.0B12 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text

Qwen/Qwen3-VL-32B-Instruct-FP8

Qwen/Qwen3-VL-32B-Instruct-FP8 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.

↓ 197,925♡ 54
32.0B80 GB+ VRAMapache-2.0
Deployment details →
token-classification

urchade/gliner_large-v2

urchade/gliner_large-v2 is a token classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 196,292♡ 58
Unknown8 GB+ VRAMapache-2.0
Deployment details →
text-generation

ggml-org/gpt-oss-120b-GGUF

ggml-org/gpt-oss-120b-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 80 GB. It is publicly listed on Hugging Face.

↓ 194,963♡ 76
120.0B80 GB+ VRAMapache-2.0
Deployment details →
automatic-speech-recognition

sumedh/wav2vec2-large-xlsr-marathi

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

↓ 194,758♡ 2
Unknown8 GB+ VRAMapache-2.0
Deployment details →
general AI

Comfy-Org/Mage-Flow

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

↓ 194,659♡ 122
Unknown8 GB+ VRAMmit
Deployment details →