HUGGING FACE MODEL INDEXSearch and compare Hugging Face models.
1,896,945 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.
general AI
mradermacher/OmniCoder-9B-Claude-Opus-High-Reasoning-Distill-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 1,020♡ 9
9.0B8 GB+ VRAMapache-2.0
Deployment details →
text-generation
fableforge-ai/ShellWhisperer-1.5B is a text generation model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
↓ 1,020♡ 11
1.5B4 GB+ VRAMapache-2.0
Deployment details →
text-generation
Lathly/Qwen3.8-27B-Samantha_Uncensored_1.1_LoRA is a text generation model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.
↓ 1,020♡ 2
27.0B24 GB+ VRAMapache-2.0
Deployment details →
text-generation
neosantara/wader-100m is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 1,020♡ 0
Unknown8 GB+ VRAMapache-2.0
Deployment details →
zero-shot-image-classification
chs20/TeCoA4-ViT-B-32-laion2B-s34B-b79K is a zero shot image classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 1,019♡ 0
Unknown8 GB+ VRAMmit
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automatic-speech-recognition
Parakeet-Inc/furigana_whisper_small_jsut is a automatic speech recognition model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 1,019♡ 11
Unknown8 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/granite-3.3-2b-instruct-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.
↓ 1,019♡ 3
2.0B4 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/Forgotten-Safeword-12B-3.6-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.
↓ 1,019♡ 1
12.0B12 GB+ VRAMapache-2.0
Deployment details →
text-generation
RedHatAI/Qwen3-8B-NVFP4 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.
↓ 1,019♡ 3
8.0B24 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/Mistral-Devstral-2507-CODER-Brainstorm40x-44B-i1-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 32 GB. It is publicly listed on Hugging Face.
↓ 1,019♡ 2
44.0B32 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/SRFT-Qwen2.5-Math-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.
↓ 1,019♡ 0
7.0B8 GB+ VRAMmit
Deployment details →
text-generation
mradermacher/next-8b-i1-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 1,019♡ 1
8.0B8 GB+ VRAMmit
Deployment details →
reinforcement-learning
mradermacher/Vero-Qwen3I-8B-i1-GGUF is a reinforcement learning model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 1,019♡ 0
8.0B8 GB+ VRAMapache-2.0
Deployment details →
text-generation
BSC-LT/ALIA-40b-instruct-2606 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 96 GB. It is publicly listed on Hugging Face.
↓ 1,019♡ 1
40.0B96 GB+ VRAMapache-2.0
Deployment details →
text-generation
pottokao/Qwen3.8-27B-NVFP4-MTP-2x16GB is a text generation model indexed for deployment research. Estimated minimum GPU memory is 64 GB. It is publicly listed on Hugging Face.
↓ 1,019♡ 2
27.0B64 GB+ VRAMapache-2.0
Deployment details →
text-generation
CoboSan/GLM-5.3-Flash-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 1,019♡ 0
Unknown8 GB+ VRAMmit
Deployment details →
general AI
mradermacher/jais-family-2p7b-chat-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.
↓ 1,019♡ 0
Unknown8 GB+ VRAMapache-2.0
Deployment details →
text-generation
furiosa-ai/Qwen3-30B-A3B-Thinking-2507-FP8 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 80 GB. It is publicly listed on Hugging Face.
↓ 1,019♡ 0
30.0B80 GB+ VRAMapache-2.0
Deployment details →
image-classification
timm/inception_next_small.sail_in1k is a image classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 1,018♡ 0
Unknown8 GB+ VRAMapache-2.0
Deployment details →
image-classification
timm/test_convnext.r160_in1k is a image classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 1,018♡ 1
Unknown8 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/R3-Qwen3-8B-4k-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.
↓ 1,018♡ 0
8.0B8 GB+ VRAMapache-2.0
Deployment details →
text-ranking
QuantFactory/Qwen3-Reranker-8B-GGUF is a text ranking model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 1,018♡ 3
8.0B8 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/SADeepCoder-14B-Preview-unsloth-v1.0-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.
↓ 1,018♡ 0
14.0B12 GB+ VRAMmit
Deployment details →
image-to-image
ovedrive/qwen-image-edit-4bit is a image to image model indexed for deployment research. Estimated minimum GPU memory is 12 GB. It is publicly listed on Hugging Face.
↓ 1,018♡ 37
Unknown12 GB+ VRAMapache-2.0
Deployment details →