HUGGING FACE MODEL INDEXSearch and compare Hugging Face models.
871,060 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.
general AI
mradermacher/Qwen3.5-9B-Claude-4.6-HighIQ-THINKING-HERETIC-UNCENSORED-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.
↓ 3,051♡ 12
9.0B8 GB+ VRAMapache-2.0
Deployment details →
text-generation
lumen-models/Qwen2.5-7B-Instruct-abliterated-v2-Q4_K_M-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 3,050♡ 4
7.0B8 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text
internlm/CapRL-Qwen3VL-4B 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.
↓ 3,049♡ 13
4.0B12 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/G4-MeroMero-26B-A4B-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.
↓ 3,049♡ 13
26.0B24 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/Gemma-4-26B-A4B-it-heretic-antislop-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.
↓ 3,048♡ 4
26.0B24 GB+ VRAMapache-2.0
Deployment details →
text-generation
nguyenthilaitrieulong/OpenAi-GPT-oss-20b-abliterated-uncensored-NEO-Imatrix-gguf is a text generation model indexed for deployment research. Estimated minimum GPU memory is 16 GB. It is publicly listed on Hugging Face.
↓ 3,048♡ 4
20.0B16 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/DeepSeek-R1-Distill-Qwen-8B-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.
↓ 3,047♡ 1
8.0B8 GB+ VRAMLicense unknown
Deployment details →
general AI
GitMylo/nsfwvision-v5_qwen3.5-9b-gguf is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 3,046♡ 7
9.0B8 GB+ VRAMapache-2.0
Deployment details →
text-generation
lil-lab/CoLMLM-360M-FW is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 3,046♡ 2
Unknown8 GB+ VRAMLicense unknown
Deployment details →
image-text-to-text
LiquidAI/LFM2-VL-3B-GGUF is a image text to text model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
↓ 3,046♡ 54
3.0B4 GB+ VRAMother
Deployment details →
general AI
mradermacher/Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-BF16-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.
↓ 3,045♡ 1
27.0B24 GB+ VRAMapache-2.0
Deployment details →
general AI
FlippyDora/qwen3-asr-1.7b-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
↓ 3,044♡ 2
1.7B4 GB+ VRAMLicense unknown
Deployment details →
text-generation
AETHORIA-AI/TR-HASH-MoE-200M-160B-SFT is a text generation model indexed for deployment research. Estimated minimum GPU memory is 256 GB. It is publicly listed on Hugging Face.
↓ 3,044♡ 5
160.0B256 GB+ VRAMcc-by-nc-4.0
Deployment details →
general AI
binant/wendyrv is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 3,042♡ 0
Unknown8 GB+ VRAMLicense unknown
Deployment details →
text-generation
titan087/gemma4-e2b-neon-veil-rp-v2 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 3,042♡ 3
Unknown8 GB+ VRAMgpl-3.0
Deployment details →
text-generation
mradermacher/Gemma-4-12B-OBLITERATED-i1-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 12 GB. It is publicly listed on Hugging Face.
↓ 3,042♡ 16
12.0B12 GB+ VRAMgemma
Deployment details →
text-generation
oxalis-ink/shamrock-0-e2b is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 3,042♡ 0
Unknown8 GB+ VRAMapache-2.0
Deployment details →
general AI
OzzyGT/qwen-image-layered-bnb-4bit-transformer is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 3,041♡ 0
Unknown8 GB+ VRAMapache-2.0
Deployment details →
any-to-any
deepseek-community/Janus-Pro-7B is a any to any model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.
↓ 3,041♡ 3
7.0B24 GB+ VRAMmit
Deployment details →
text-classification
SajjadIslam/multiMentalRoBERTA-5-class is a text classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 3,040♡ 0
Unknown8 GB+ VRAMapache-2.0
Deployment details →
image-to-video
MATLOWAI/MiniMax-H3-Motion-Adapter is a image to video model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 3,040♡ 23
Unknown8 GB+ VRAMmit
Deployment details →
general AI
mradermacher/Gemma-4-Gembrain-X-Core-31B-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.
↓ 3,039♡ 5
31.0B24 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/Gleam-30B-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.
↓ 3,039♡ 0
30.0B24 GB+ VRAMapache-2.0
Deployment details →
text-generation
reaperdoesntknow/DualMind is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 3,039♡ 0
Unknown8 GB+ VRAMapache-2.0
Deployment details →