HUGGING FACE MODEL INDEXSearch and compare Hugging Face models.
1,912,944 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.
general AI
mradermacher/Qwen3-30B-A3B-Thinking-2507-Claude-4.5-Sonnet-High-Reasoning-Distill-i1-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.
↓ 1,006♡ 6
30.0B24 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/Klear-Reasoner-8B-SFT-i1-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 1,006♡ 0
8.0B8 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/AdaReasoner-7B-Non-Randomized-i1-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 1,006♡ 0
7.0B8 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/MS3.2-24B-Magnum-Diamond-PaperWitch-heresy-i1-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.
↓ 1,006♡ 1
24.0B24 GB+ VRAMapache-2.0
Deployment details →
text-generation
evildevlive/Qwen3-Sex is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 1,006♡ 1
Unknown8 GB+ VRAMapache-2.0
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automatic-speech-recognition
oddadmix/whisper-large-v3-arabic-dialectal-v2 is a automatic speech recognition model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 1,006♡ 0
Unknown8 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text
Shiftedx/qwen3.8-27b-aeon-ultimate-uncensored-mxfp4-vision-mlx 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.
↓ 1,006♡ 0
27.0B64 GB+ VRAMapache-2.0
Deployment details →
text-generation
bartowski/FuseO1-DeepSeekR1-QwQ-SkyT1-Flash-32B-Preview-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.
↓ 1,005♡ 13
32.0B24 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/VisCoder-7B-i1-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 1,005♡ 0
7.0B8 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/Qwen2.5-GenX-7B-i1-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 1,005♡ 0
7.0B8 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/gptailor-llama3-8b-i1-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 1,005♡ 0
8.0B8 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/InternVL3_5-1B-i1-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
↓ 1,005♡ 1
1.0B4 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/Olmo-3.1-32B-Instruct-DPO-i1-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.
↓ 1,005♡ 1
32.0B24 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/MiroThinker-v1.5-235B-i1-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 192 GB. It is publicly listed on Hugging Face.
↓ 1,005♡ 5
235.0B192 GB+ VRAMmit
Deployment details →
general AI
mradermacher/spoomplesmaxx-base-qwen3-14b-i1-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 12 GB. It is publicly listed on Hugging Face.
↓ 1,005♡ 1
14.0B12 GB+ VRAMapache-2.0
Deployment details →
general AI
Cactus-Compute/needle is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 1,005♡ 346
Unknown8 GB+ VRAMmit
Deployment details →
text-generation
poolside/Laguna-XS.2-NVFP4 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 1,005♡ 26
Unknown8 GB+ VRAMapache-2.0
Deployment details →
text-generation
TheStageAI/Qwen3.5-9B-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 1,005♡ 3
9.0B8 GB+ VRAMapache-2.0
Deployment details →
text-generation
Quipuai/quipu-0.6b is a text generation model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
↓ 1,005♡ 4
600M4 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text
Minachist/Qwen3.8-27B-INT6-Mixed-AutoRound 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.
↓ 1,005♡ 8
27.0B64 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/Virtuoso-Small-v2-i1-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 1,004♡ 4
Unknown8 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/L3.1-2x8b_BlackTower_RP-V1-Uncensored-i1-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 1,004♡ 4
Unknown8 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/Kartoffel-Deepfry-12B-i1-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 12 GB. It is publicly listed on Hugging Face.
↓ 1,004♡ 2
12.0B12 GB+ VRAMapache-2.0
Deployment details →
general AI
allenai/DataDecide-dolma1_7-1B is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 6 GB. It is publicly listed on Hugging Face.
↓ 1,004♡ 1
1.0B6 GB+ VRAMapache-2.0
Deployment details →