HUGGING FACE MODEL INDEXSearch and compare Hugging Face models.
643,071 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.
text-generation
ScottzillaSystems/L3.1-Dark-Reasoning-Dark-Planet-Hermes-R1-Uncensored-Horror-Imatrix-MAX-8B-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 2,426♡ 1
8.0B8 GB+ VRAMapache-2.0
Deployment details →
text-generation
murillo2000/Kimi-K3-0.40B-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
↓ 2,424♡ 4
400M4 GB+ VRAMmit
Deployment details →
image-text-to-text
lukaskremla/Qwen3.8-27B-3bit-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.
↓ 2,423♡ 4
27.0B64 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text
fullmetaljackass/Qwen3.8-27B-Uncensored-NInfer 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.
↓ 2,420♡ 4
27.0B64 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text
Jackrong/Qwen3.5-4B-Claude-4.6-Opus-Reasoning-Distilled-v2 is a image text to text model indexed for deployment research. Estimated minimum GPU memory is 12 GB. It is publicly listed on Hugging Face.
↓ 2,419♡ 13
4.0B12 GB+ VRAMapache-2.0
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text-generation
litert-community/Qwen2.5-Coder-3B-Instruct is a text generation model indexed for deployment research. Estimated minimum GPU memory is 12 GB. It is publicly listed on Hugging Face.
↓ 2,419♡ 4
3.0B12 GB+ VRAMapache-2.0
Deployment details →
text-generation
anton-hugging/TimeOmni-1-7B is a text generation model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.
↓ 2,418♡ 9
7.0B24 GB+ VRAMapache-2.0
Deployment details →
text-generation
sartajbhuvaji/GLM-4.6-Flash-text is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 2,416♡ 1
Unknown8 GB+ VRAMmit
Deployment details →
text-to-speech
mattmireles/kokoro-coreml is a text to speech model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 2,415♡ 10
Unknown8 GB+ VRAMapache-2.0
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text-classification
funasr/ct-punc is a text classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 2,414♡ 13
Unknown8 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text
unsloth/gemma-4-E4B 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.
↓ 2,413♡ 11
Unknown8 GB+ VRAMapache-2.0
Deployment details →
image-to-text
PaddlePaddle/PP-OCRv6_medium_det_safetensors is a image to text model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 2,413♡ 133
Unknown8 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text
unsloth/gemma-4-E2B-it-UD-MLX-4bit 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.
↓ 2,412♡ 23
Unknown8 GB+ VRAMapache-2.0
Deployment details →
text-generation
mradermacher/RIFA-Edge-0.6B-i1-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
↓ 2,412♡ 0
600M4 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/Qwen3-30B-A3B-Instruct-2507-Heretic-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.
↓ 2,411♡ 1
30.0B24 GB+ VRAMapache-2.0
Deployment details →
automatic-speech-recognition
cstr/qwen3-asr-1.7b-ja-anime-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.
↓ 2,410♡ 3
1.7B4 GB+ VRAMapache-2.0
Deployment details →
general AI
Wespeaker/wespeaker-voxceleb-redimnet2-B6-LM is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 2,409♡ 0
Unknown8 GB+ VRAMapache-2.0
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text-generation
JC1DA/Qwen3.8-27B-heretic-ara-W4A16 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.
↓ 2,407♡ 0
27.0B24 GB+ VRAMapache-2.0
Deployment details →
reinforcement-learning
mradermacher/InSight-doc-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.
↓ 2,405♡ 3
8.0B8 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/Qwen3.5-122B-A10B-abliterated-i1-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 96 GB. It is publicly listed on Hugging Face.
↓ 2,403♡ 2
122.0B96 GB+ VRAMapache-2.0
Deployment details →
text-generation
unsloth/GLM-5.1-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 2,402♡ 205
Unknown8 GB+ VRAMmit
Deployment details →
general AI
mradermacher/Qwen3.8-27B-absolute-heresy-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.
↓ 2,400♡ 3
27.0B24 GB+ VRAMapache-2.0
Deployment details →
text-generation
reaperdoesntknow/Qwen3.5-2B-CyberSec is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 2,399♡ 0
2.0B8 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/gpt-oss-20b-Uncensored-xCloud-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.
↓ 2,397♡ 0
20.0B16 GB+ VRAMapache-2.0
Deployment details →