HUGGING FACE MODEL INDEXSearch and compare Hugging Face models.
1,900,945 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.
general AI
Crownelius/The-Crow-9B-Creative-Writing-Opus4.6-DISTILL-Heretic is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 1,017♡ 28
9.0B8 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/Holo3-35B-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.
↓ 1,017♡ 7
35.0B32 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/Giftige-Blume-31B-v1-StyleSwap-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.
↓ 1,017♡ 0
31.0B24 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/Riverfish-Rocinante-12B-SFT-DPO-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.
↓ 1,017♡ 1
12.0B12 GB+ VRAMapache-2.0
Deployment details →
keypoint-detection
qualcomm/MediaPipe-Pose-Estimation is a keypoint detection model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 1,017♡ 111
Unknown8 GB+ VRAMapache-2.0
Deployment details →
text-generation
Ttimms/Ornith-1.5-35B-A3B-REAP-50-bf16 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 80 GB. It is publicly listed on Hugging Face.
↓ 1,017♡ 0
35.0B80 GB+ VRAMmit
Deployment details →
general AI
mradermacher/Dans-PersonalityEngine-V1.2.0-24b-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.
↓ 1,016♡ 14
24.0B24 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/OLMo-7B-0724-Instruct-hf-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.
↓ 1,016♡ 0
7.0B8 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/GRPO-VI-Qwen2-7B-RAG-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.
↓ 1,016♡ 0
7.0B8 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/OpenCodeEdit-Qwen2.5-7B-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 1,016♡ 1
7.0B8 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/LLDS-A-GRPO-Qwen2.5-7B-Ins-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.
↓ 1,016♡ 1
7.0B8 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/ZwZ-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.
↓ 1,016♡ 1
8.0B8 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/DeepSeek-R1-Distill-Qwen-14B-heretic-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.
↓ 1,016♡ 1
14.0B12 GB+ VRAMmit
Deployment details →
general AI
mradermacher/Mistral-Nemo-12B-R1-v0.4.1-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.
↓ 1,016♡ 2
12.0B12 GB+ VRAMapache-2.0
Deployment details →
text-generation
terrorswift/REDCELL-26B-A4B-OSINT-Cyber-APEX-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.
↓ 1,016♡ 8
26.0B24 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text
DreamFast/Qwen3-VL-4b-Heretic 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.
↓ 1,016♡ 8
4.0B12 GB+ VRAMapache-2.0
Deployment details →
feature-extraction
LCO-Embedding/LCO-Embedding-Omni-3B-2605 is a feature extraction model indexed for deployment research. Estimated minimum GPU memory is 12 GB. It is publicly listed on Hugging Face.
↓ 1,016♡ 16
3.0B12 GB+ VRAMapache-2.0
Deployment details →
general AI
DZER-Studios/Create_dataset_from_video is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 1,016♡ 1
Unknown8 GB+ VRAMmit
Deployment details →
general AI
mradermacher/naps-llama-3_1-instruct-v0.5.0-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.
↓ 1,015♡ 0
Unknown8 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/L3-Grand-HORROR-17.4B-V1.7-STABLE-Kiss-Of-Death-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.
↓ 1,015♡ 0
17.4B16 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/TQ2.5-14B-Neon-v1-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.
↓ 1,015♡ 1
14.0B12 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/ARWKV-R1-7B-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.
↓ 1,015♡ 0
7.0B8 GB+ VRAMapache-2.0
Deployment details →
general AI
backyardai/DeepSeek-R1-Distill-Llama-8B-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 1,015♡ 2
8.0B8 GB+ VRAMmit
Deployment details →
general AI
mradermacher/AM-Thinking-v1-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.
↓ 1,015♡ 1
Unknown8 GB+ VRAMapache-2.0
Deployment details →