HUGGING FACE MODEL INDEX

Search and compare Hugging Face models.

973,049 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.

text-generation

EleutherAI/pythia-70m-seed5

EleutherAI/pythia-70m-seed5 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,646♡ 0
Unknown8 GB+ VRAMapache-2.0
Deployment details →
text-generation

ozaa77/Cogito-0.9.1-15B-GGUF

ozaa77/Cogito-0.9.1-15B-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 12 GB. It is publicly listed on Hugging Face.

↓ 1,646♡ 0
15.0B12 GB+ VRAMapache-2.0
Deployment details →
text-generation

smshahbaj/Rifa-Nano-0.5B

smshahbaj/Rifa-Nano-0.5B is a text generation model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.

↓ 1,646♡ 0
500M4 GB+ VRAMapache-2.0
Deployment details →
token-classification

coling-unia/situation-entity-segmenter

coling-unia/situation-entity-segmenter is a token classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,645♡ 1
Unknown8 GB+ VRAMmit
Deployment details →
general AI

mradermacher/Novelist1.0-27b-GGUF

mradermacher/Novelist1.0-27b-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.

↓ 1,643♡ 0
27.0B24 GB+ VRAMapache-2.0
Deployment details →
general AI

mradermacher/MemeLens-VLM-GGUF

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

↓ 1,642♡ 1
Unknown8 GB+ VRAMmit
Deployment details →
general AI

mlx-community/Qwen3-ASR-1.7B-bf16

mlx-community/Qwen3-ASR-1.7B-bf16 is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 6 GB. It is publicly listed on Hugging Face.

↓ 1,641♡ 10
1.7B6 GB+ VRAMapache-2.0
Deployment details →
fill-mask

Eraly-ml/KazBERT

Eraly-ml/KazBERT is a fill mask model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,641♡ 15
Unknown8 GB+ VRAMapache-2.0
Deployment details →