HUGGING FACE MODEL INDEX

Search and compare Hugging Face models.

1,207,031 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.

text-generation

Diamegs/PIT-4B-FT-201412

Diamegs/PIT-4B-FT-201412 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 12 GB. It is publicly listed on Hugging Face.

↓ 1,318♡ 0
4.0B12 GB+ VRAMapache-2.0
Deployment details →
feature-extraction

OpenVINO/Qwen3-Embedding-0.6B-int8-ov

OpenVINO/Qwen3-Embedding-0.6B-int8-ov is a feature extraction model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.

↓ 1,317♡ 1
600M4 GB+ VRAMapache-2.0
Deployment details →
text-generation

olka-fi/Ling-3.0-flash-NVFP4

olka-fi/Ling-3.0-flash-NVFP4 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,317♡ 3
Unknown8 GB+ VRAMmit
Deployment details →
general AI

wsbagnsv1/Qwen-Image-Pruning-GGUF

wsbagnsv1/Qwen-Image-Pruning-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,316♡ 7
Unknown8 GB+ VRAMapache-2.0
Deployment details →
text-generation

kldzj/gpt-oss-120b-heretic

kldzj/gpt-oss-120b-heretic is a text generation model indexed for deployment research. Estimated minimum GPU memory is 256 GB. It is publicly listed on Hugging Face.

↓ 1,316♡ 16
120.0B256 GB+ VRAMapache-2.0
Deployment details →
translation

mlx-community/Hy-MT2-1.8B-4bit

mlx-community/Hy-MT2-1.8B-4bit is a translation model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.

↓ 1,316♡ 3
1.8B4 GB+ VRAMapache-2.0
Deployment details →
reinforcement-learning

mradermacher/CNY-7B-i1-GGUF

mradermacher/CNY-7B-i1-GGUF is a reinforcement learning model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,316♡ 1
7.0B8 GB+ VRAMapache-2.0
Deployment details →
general AI

mradermacher/VGPO-RL-7B-i1-GGUF

mradermacher/VGPO-RL-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.

↓ 1,314♡ 0
7.0B8 GB+ VRAMmit
Deployment details →
general AI

mradermacher/Qwen3.5-4B-i1-GGUF

mradermacher/Qwen3.5-4B-i1-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 6 GB. It is publicly listed on Hugging Face.

↓ 1,312♡ 3
4.0B6 GB+ VRAMapache-2.0
Deployment details →
text-generation

ahmetggg/luck-spark-l-100m-base

ahmetggg/luck-spark-l-100m-base is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,312♡ 1
Unknown8 GB+ VRAMmit
Deployment details →