HUGGING FACE MODEL INDEXSearch and compare Hugging Face models.
300,305 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.
general AI
mudler/Qwen3.6-35B-A3B-Claude-4.6-Opus-Reasoning-Distilled-APEX-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 32 GB. It is publicly listed on Hugging Face.
↓ 7,832♡ 5
35.0B32 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/Ornith-1.5-35B-A3B-MTP-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 32 GB. It is publicly listed on Hugging Face.
↓ 7,811♡ 1
35.0B32 GB+ VRAMapache-2.0
Deployment details →
any-to-any
sensenova/SenseNova-U1.5-8B-MoT is a any to any model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.
↓ 7,807♡ 212
8.0B24 GB+ VRAMapache-2.0
Deployment details →
general AI
satgeze/Qwen3.6-27B-DSpark is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.
↓ 7,804♡ 17
27.0B24 GB+ VRAMapache-2.0
Deployment details →
text-generation
reaperdoesntknow/Qwen3.5-0.8-Cyber-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 7,755♡ 1
Unknown8 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text
shadowrock-io/Unlimited-OCR-Community-FP8-Dynamic 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.
↓ 7,734♡ 1
Unknown8 GB+ VRAMmit
Deployment details →
image-text-to-text
btbtyler09/Qwen3.8-27B-GPTQ-8bit is a image text to text model indexed for deployment research. Estimated minimum GPU memory is 32 GB. It is publicly listed on Hugging Face.
↓ 7,725♡ 1
27.0B32 GB+ VRAMapache-2.0
Deployment details →
text-generation
King3Djbl/mythos-9b-unhinged is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 7,710♡ 30
9.0B8 GB+ VRAMapache-2.0
Deployment details →
text-generation
poolside/Laguna-M.1 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 7,709♡ 145
Unknown8 GB+ VRAMapache-2.0
Deployment details →
text-generation
Jackrong/DeepSeek-V4-Pro-Qwen3.5-4B is a text generation model indexed for deployment research. Estimated minimum GPU memory is 6 GB. It is publicly listed on Hugging Face.
↓ 7,686♡ 16
4.0B6 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text
Hcompany/Holo-3.1-4B 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.
↓ 7,636♡ 101
4.0B12 GB+ VRAMapache-2.0
Deployment details →
text-generation
CMSManhattan/JiRackUltra_32b is a text generation model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.
↓ 7,636♡ 0
32.0B24 GB+ VRAMmit
Deployment details →
image-text-to-text
numind/NuExtract3-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.
↓ 7,630♡ 40
Unknown8 GB+ VRAMapache-2.0
Deployment details →
text-generation
protoLabsAI/Ornith-1.0-9B-MTP-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 7,615♡ 95
9.0B8 GB+ VRAMmit
Deployment details →
image-text-to-video
PurpleBlazey/Minimax-H3-pruned-GGUF is a image text to video model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 7,614♡ 0
Unknown8 GB+ VRAMapache-2.0
Deployment details →
automatic-speech-recognition
typhoon-ai/typhoon-whisper-turbo is a automatic speech recognition model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 7,555♡ 6
Unknown8 GB+ VRAMmit
Deployment details →
text-generation
bartowski/Ateron_Gemma-4-Novelist-Eclipse-31B-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.
↓ 7,554♡ 7
31.0B24 GB+ VRAMapache-2.0
Deployment details →
text-generation
logic65/Qwen3.8-p44w75-16.8B-unrepaired is a text generation model indexed for deployment research. Estimated minimum GPU memory is 16 GB. It is publicly listed on Hugging Face.
↓ 7,550♡ 2
16.8B16 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text
cyankiwi/Qwen3.8-27B-AWQ-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.
↓ 7,543♡ 9
27.0B64 GB+ VRAMapache-2.0
Deployment details →
general AI
mcham/Qwen3.8-27B-padthai-gguf is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.
↓ 7,536♡ 1
27.0B24 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text
huginnfork/Qwen3.8-27B-NVFP4A16 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.
↓ 7,519♡ 20
27.0B64 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/Llama3.3-8B-Instruct-Thinking-Claude-4.5-Opus-High-Reasoning-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.
↓ 7,489♡ 7
8.0B8 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text
kelnei/Qwen3.8-27B-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.
↓ 7,484♡ 2
27.0B64 GB+ VRAMapache-2.0
Deployment details →
general AI
Wondernutts/gemma-4-26B-A4B-it-qat-q4_0-unquantized-uncensored-heretic-int4-ov is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.
↓ 7,484♡ 0
26.0B24 GB+ VRAMapache-2.0
Deployment details →