HUGGING FACE MODEL INDEXSearch and compare Hugging Face models.
1,063,041 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.
automatic-speech-recognition
software-mansion/react-native-executorch-whisper-base.en is a automatic speech recognition model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 2,294♡ 0
Unknown8 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/Ling-3.0-tiny-Uncensored-Abliterated-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 2,293♡ 3
Unknown8 GB+ VRAMmit
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object-detection
Lien-Feng/Lightweight-2-5D-LUNA16 is a object detection model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 2,293♡ 0
Unknown8 GB+ VRAMcc-by-4.0
Deployment details →
any-to-any
bekoozkan/godot-gemma-4-e4b-it-GGUF is a any to any model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 2,292♡ 10
Unknown8 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/Macaron-V1-Tall-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.
↓ 2,292♡ 1
Unknown8 GB+ VRAMmit
Deployment details →
image-classification
aaronkantrowitz/ai-human-generated-image-detection is a image classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 2,291♡ 2
Unknown8 GB+ VRAMapache-2.0
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reinforcement-learning
mradermacher/GRiP-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.
↓ 2,290♡ 1
Unknown8 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/gpt-oss-20b-multilingual-reasoner-i1-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 16 GB. It is publicly listed on Hugging Face.
↓ 2,290♡ 2
20.0B16 GB+ VRAMLicense unknown
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image-text-to-text
xzanomad/Qwen3.6-27B-Fable-Fusion-711-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.
↓ 2,290♡ 10
27.0B64 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text
developerjeremylive/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF-etheroi 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.
↓ 2,290♡ 1
27.0B24 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/Qwen3-Coder-REAP-25B-A3B-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.
↓ 2,286♡ 2
25.0B24 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/Llama-3.3-8B-Instruct-128K-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.
↓ 2,286♡ 5
8.0B8 GB+ VRAMllama3.3
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general AI
Crownelius/Crow-4B-Opus-4.6-Distill-Heretic_Qwen3.5 is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 6 GB. It is publicly listed on Hugging Face.
↓ 2,286♡ 58
4.0B6 GB+ VRAMLicense unknown
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text-generation
Nguuma/security-slm-unsloth-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.
↓ 2,286♡ 53
1.5B4 GB+ VRAMapache-2.0
Deployment details →
automatic-speech-recognition
moorlee/qwen3-asr-0.6b-hinglish is a automatic speech recognition model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
↓ 2,286♡ 1
600M4 GB+ VRAMapache-2.0
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general AI
lmstudio-community/Ministral-3-3B-Reasoning-2512-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
↓ 2,285♡ 2
3.0B4 GB+ VRAMapache-2.0
Deployment details →
text-generation
Atomic-Germ/Qwen3.5-9B-Claude-Code-NPU2 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 2,285♡ 0
9.0B8 GB+ VRAMapache-2.0
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general AI
tchewik/isanlp_rst_v3 is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 2,284♡ 5
Unknown8 GB+ VRAMcc-by-nc-4.0
Deployment details →
image-text-to-text
FadedRedStar/QwenPaw-Flash-9B-heretic-imatrix-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.
↓ 2,284♡ 1
9.0B8 GB+ VRAMapache-2.0
Deployment details →
text-generation
leeroy-jankins/jimi is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 2,284♡ 4
Unknown8 GB+ VRAMmit
Deployment details →
image-text-to-text
unsloth/Qwen3.6-27B-UD-MLX-NVFP4 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.
↓ 2,283♡ 10
27.0B64 GB+ VRAMapache-2.0
Deployment details →
text-generation
ai-sage/GigaChat3.1-10B-A1.8B is a text generation model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.
↓ 2,282♡ 28
10.0B24 GB+ VRAMmit
Deployment details →
text-to-image
Shakker-Labs/AWPortrait-Z is a text to image model indexed for deployment research. Estimated minimum GPU memory is 12 GB. It is publicly listed on Hugging Face.
↓ 2,281♡ 487
Unknown12 GB+ VRAMapache-2.0
Deployment details →
image-classification
mradermacher/medgemma-27b-it-i1-GGUF is a image classification model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.
↓ 2,281♡ 3
27.0B24 GB+ VRAMother
Deployment details →