HUGGING FACE MODEL INDEX

Search and compare Hugging Face models.

1,227,025 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.

general AI

mysanit/qwen3-tts-gguf

mysanit/qwen3-tts-gguf is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,283♡ 0
Unknown8 GB+ VRAMapache-2.0
Deployment details →
any-to-any

openbmb/MiniCPM-o-2_6-int4

openbmb/MiniCPM-o-2_6-int4 is a any to any model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,283♡ 53
Unknown8 GB+ VRAMapache-2.0
Deployment details →
general AI

mradermacher/NousCoder-14B-i1-GGUF

mradermacher/NousCoder-14B-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.

↓ 1,283♡ 0
14.0B12 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text

GestaltLabs/Ornstein3.6-35B-A3B-GGUF

GestaltLabs/Ornstein3.6-35B-A3B-GGUF 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.

↓ 1,282♡ 41
35.0B32 GB+ VRAMapache-2.0
Deployment details →
text-generation

hudsongouge/tmax-2b-GGUF

hudsongouge/tmax-2b-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.

↓ 1,282♡ 0
2.0B4 GB+ VRAMapache-2.0
Deployment details →
text-generation

RedHatAI/Qwen3.8-2.4T-A95B-NVFP4

RedHatAI/Qwen3.8-2.4T-A95B-NVFP4 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,282♡ 1
Unknown8 GB+ VRAMmit
Deployment details →
image-text-to-text

llm-jp/llm-jp-4-vl-9b

llm-jp/llm-jp-4-vl-9b 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.

↓ 1,282♡ 17
9.0B24 GB+ VRAMapache-2.0
Deployment details →
general AI

mradermacher/RDT2-VQ-GGUF

mradermacher/RDT2-VQ-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,281♡ 0
Unknown8 GB+ VRAMapache-2.0
Deployment details →