HUGGING FACE MODEL INDEX

Search and compare Hugging Face models.

995,047 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.

text-generation

mobilint/EAGLE3-Qwen3-4B

mobilint/EAGLE3-Qwen3-4B is a text generation model indexed for deployment research. Estimated minimum GPU memory is 12 GB. It is publicly listed on Hugging Face.

↓ 1,577♡ 0
4.0B12 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text

prithivMLmods/gemma-4-12B-it-GGUF

prithivMLmods/gemma-4-12B-it-GGUF 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.

↓ 1,576♡ 1
12.0B12 GB+ VRAMapache-2.0
Deployment details →
video-text-to-text

MCG-NJU/TimeLens2-8B

MCG-NJU/TimeLens2-8B is a video text to text model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.

↓ 1,576♡ 14
8.0B24 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text

ZuzeTt/Qwen3.5-4B-imatrix-GGUF

ZuzeTt/Qwen3.5-4B-imatrix-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.

↓ 1,575♡ 3
4.0B6 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text

btbtyler09/Qwen3.6-27B-GPTQ-8bit

btbtyler09/Qwen3.6-27B-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.

↓ 1,575♡ 4
27.0B32 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text

Alcoft/Qwen3.8-27B-Uncensored-GGUF-ALC

Alcoft/Qwen3.8-27B-Uncensored-GGUF-ALC 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.

↓ 1,575♡ 0
27.0B24 GB+ VRAMapache-2.0
Deployment details →
general AI

mradermacher/UserLM-8b-i1-GGUF

mradermacher/UserLM-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.

↓ 1,571♡ 2
8.0B8 GB+ VRAMmit
Deployment details →
general AI

mradermacher/RP-king-12b-i1-GGUF

mradermacher/RP-king-12b-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.

↓ 1,570♡ 1
12.0B12 GB+ VRAMapache-2.0
Deployment details →
text-generation

SupraLabs/SupraElegans-500k

SupraLabs/SupraElegans-500k is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,569♡ 32
Unknown8 GB+ VRAMapache-2.0
Deployment details →
text-generation

Navyaforaa/LitGram-1.5B

Navyaforaa/LitGram-1.5B is a text generation model indexed for deployment research. Estimated minimum GPU memory is 6 GB. It is publicly listed on Hugging Face.

↓ 1,569♡ 0
1.5B6 GB+ VRAMapache-2.0
Deployment details →
reinforcement-learning

mradermacher/AReaL-SEA-235B-A22B-i1-GGUF

mradermacher/AReaL-SEA-235B-A22B-i1-GGUF is a reinforcement learning model indexed for deployment research. Estimated minimum GPU memory is 192 GB. It is publicly listed on Hugging Face.

↓ 1,568♡ 0
235.0B192 GB+ VRAMapache-2.0
Deployment details →