HUGGING FACE MODEL INDEXSearch and compare Hugging Face models.
288,307 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.
general AI
mudler/Qwen3.6-35B-A3B-Claude-4.7-Opus-Reasoning-Distilled-APEX-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 32 GB. It is publicly listed on Hugging Face.
↓ 23,143♡ 86
35.0B32 GB+ VRAMapache-2.0
Deployment details →
visual-document-retrieval
vidore/colpali-v1.3-hf is a visual document retrieval model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 23,092♡ 27
Unknown8 GB+ VRAMgemma
Deployment details →
image-text-to-text
QQZ2026/Qwen3.8-27B-ZeroRefusal-UD-IQ4_XS-MTP-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.
↓ 23,079♡ 10
27.0B24 GB+ VRAMapache-2.0
Deployment details →
text-generation
pipecat-ai/phonellm-alpha-1 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 23,003♡ 210
Unknown8 GB+ VRAMbsd-2-clause
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general AI
thebbg/Ma7ee7-Qwen3.8_4B_Distilled-v2 is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 6 GB. It is publicly listed on Hugging Face.
↓ 22,995♡ 3
4.0B6 GB+ VRAMLicense unknown
Deployment details →
image-text-to-text
unsloth/gemma-4-31B-it-unsloth-bnb-4bit 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.
↓ 22,987♡ 23
31.0B24 GB+ VRAMapache-2.0
Deployment details →
text-generation
empero-ai/Qwythos-9B-Claude-Mythos-5-1M is a text generation model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.
↓ 22,944♡ 931
9.0B24 GB+ VRAMapache-2.0
Deployment details →
text-generation
lmstudio-community/Ornith-1.0-9B-MLX-8bit is a text generation model indexed for deployment research. Estimated minimum GPU memory is 12 GB. It is publicly listed on Hugging Face.
↓ 22,846♡ 1
9.0B12 GB+ VRAMmit
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image-text-to-text
mlx-community/gemma-4-26b-a4b-it-4bit 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.
↓ 22,806♡ 83
26.0B24 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/Muse-Glimmer-30B-Abliterated-Aggressive-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.
↓ 22,801♡ 0
30.0B24 GB+ VRAMapache-2.0
Deployment details →
general AI
mudler/Qwen3.6-35B-A3B-APEX-MTP-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 32 GB. It is publicly listed on Hugging Face.
↓ 22,793♡ 71
35.0B32 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text
peculiar-ragdoll/Nail-Qwen3.6-35B-A3B-GGUF is a image text to text model indexed for deployment research. Estimated minimum GPU memory is 32 GB. It is publicly listed on Hugging Face.
↓ 22,721♡ 91
35.0B32 GB+ VRAMapache-2.0
Deployment details →
text-to-image
WANG-CC/flux2-klein-9b-uncensored-text-encoder-Q8_0-GGUF is a text to image model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 22,521♡ 4
9.0B8 GB+ VRAMother
Deployment details →
general AI
Comfy-Org/Qwen-Image-DiffSynth-ControlNets is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 22,508♡ 79
Unknown8 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text
LiquidAI/LFM2-VL-1.6B-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.
↓ 22,488♡ 62
1.6B4 GB+ VRAMother
Deployment details →
text-generation
nvidia/Kimi-K3-NVFP4 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 22,321♡ 27
Unknown8 GB+ VRAMother
Deployment details →
image-text-to-text
RadixArk/Muse-Glimmer-NVFP4 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.
↓ 22,280♡ 9
Unknown8 GB+ VRAMLicense unknown
Deployment details →
text-generation
zerodigest/Qwen3.8-27B-YMQ-MTP-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.
↓ 22,221♡ 21
27.0B24 GB+ VRAMapache-2.0
Deployment details →
robotics
lerobot/pi05_base is a robotics model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 22,059♡ 101
Unknown8 GB+ VRAMgemma
Deployment details →
text-generation
bleysg/Qwen3.5-122B-A10B-int4-fp8-hybrid is a text generation model indexed for deployment research. Estimated minimum GPU memory is 96 GB. It is publicly listed on Hugging Face.
↓ 21,994♡ 9
122.0B96 GB+ VRAMother
Deployment details →
image-segmentation
PaddlePaddle/PP-DocLayoutV3 is a image segmentation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 21,963♡ 111
Unknown8 GB+ VRAMapache-2.0
Deployment details →
general AI
mudler/gemma-4-26B-A4B-it-Claude-Opus-Distill-APEX-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.
↓ 21,918♡ 25
26.0B24 GB+ VRAMgemma
Deployment details →
image-text-to-text
joshebbs/qwen3.8-27b-uncensored-nvfp4-modelopt 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.
↓ 21,713♡ 13
27.0B64 GB+ VRAMapache-2.0
Deployment details →
general AI
1038lab/BiRefNet is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 21,629♡ 8
Unknown8 GB+ VRAMLicense unknown
Deployment details →