HUGGING FACE MODEL INDEXSearch and compare Hugging Face models.
1,023,045 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.
general AI
mradermacher/Goetia-26B-A4B-v1.3-Absolute-Heretic-ARA-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.
↓ 1,510♡ 3
26.0B24 GB+ VRAMapache-2.0
Deployment details →
text-generation
AIOpsInSpace/Qwen3.5-35B-A3B-Uncensored-HauhauCS-Aggressive-MTP is a text generation model indexed for deployment research. Estimated minimum GPU memory is 32 GB. It is publicly listed on Hugging Face.
↓ 1,509♡ 1
35.0B32 GB+ VRAMapache-2.0
Deployment details →
general AI
arianraje/mimo-7b-gdn-hybrid-1B-OPD is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.
↓ 1,509♡ 0
7.0B24 GB+ VRAMmit
Deployment details →
image-text-to-text
arsovskidev/Gemma-4-E4B-Claude-4.6-Opus-Reasoning-Distilled 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.
↓ 1,508♡ 22
Unknown8 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/zephyr-7b-beta-abliterated-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.
↓ 1,508♡ 2
7.0B8 GB+ VRAMmit
Deployment details →
text-generation
Jiunsong/SuperGLM-5.2-abliterated-NVFP4 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 1,508♡ 59
Unknown8 GB+ VRAMmit
Deployment details →
text-generation
aj9o9/Qwen3.6-35B-A3B-Escha-W2-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 32 GB. It is publicly listed on Hugging Face.
↓ 1,508♡ 9
35.0B32 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/Tankie-DPE-12B-SFT-v2-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.
↓ 1,507♡ 1
12.0B12 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text
FadedRedStar/Qwen3.5-4B-heretic-GGUF is a image text to text model indexed for deployment research. Estimated minimum GPU memory is 6 GB. It is publicly listed on Hugging Face.
↓ 1,507♡ 2
4.0B6 GB+ VRAMapache-2.0
Deployment details →
general AI
augustine223/kanana-1.5-8b-instruct-2505-KO-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.
↓ 1,507♡ 0
8.0B8 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text
pauleb/Qwen3.6-27B-Q4_K_M-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.
↓ 1,506♡ 0
27.0B24 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/SP-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.
↓ 1,505♡ 0
7.0B8 GB+ VRAMmit
Deployment details →
general AI
mradermacher/Qwopus-MoE-35B-A3B-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.
↓ 1,505♡ 3
35.0B32 GB+ VRAMapache-2.0
Deployment details →
text-generation
mlx-community/MiniCPM5-1B-OptiQ-4bit is a text generation model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
↓ 1,505♡ 10
1.0B4 GB+ VRAMapache-2.0
Deployment details →
fill-mask
latincy/latin-bert is a fill mask model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 1,505♡ 1
Unknown8 GB+ VRAMapache-2.0
Deployment details →
any-to-any
FastFlowLM/Gemma4-E4B-IT-NPU2 is a any to any model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 1,504♡ 2
Unknown8 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/Katarau-9B-ru-RP-nsfw-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.
↓ 1,503♡ 5
9.0B8 GB+ VRAMapache-2.0
Deployment details →
text-to-speech
cstr/dots-tts-soar-GGUF is a text to speech model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 1,502♡ 3
Unknown8 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/Goetia-24B-v1.4-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.
↓ 1,502♡ 1
24.0B24 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text
mradermacher/Qwen-3.8-27B-Uncensored-i1-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.
↓ 1,502♡ 1
27.0B24 GB+ VRAMapache-2.0
Deployment details →
text-generation
mradermacher/Qwen3.5-9B-Brainwaves-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.
↓ 1,502♡ 2
9.0B8 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text
Solstice-AI/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NM-DAU-MXFP4-1M 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.
↓ 1,502♡ 1
27.0B24 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/RollMind-v1-gemma1.1-7b-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.
↓ 1,501♡ 0
7.0B8 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/Qwen3-VL-8B-Instruct-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 1,500♡ 0
8.0B8 GB+ VRAMapache-2.0
Deployment details →