HUGGING FACE MODEL INDEX

Search and compare Hugging Face models.

1,157,035 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.

image-text-to-text

sweetand/qwen3.6-27b-1C

sweetand/qwen3.6-27b-1C 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.

↓ 1,392♡ 4
27.0B24 GB+ VRAMapache-2.0
Deployment details →
text-generation

saidutta69/granite-4.1-8b-heretic

saidutta69/granite-4.1-8b-heretic is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,392♡ 2
8.0B8 GB+ VRAMapache-2.0
Deployment details →
general AI

mradermacher/gemma-4-E4B-it-GGUF

mradermacher/gemma-4-E4B-it-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,391♡ 4
Unknown8 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text

Hcompany/Holo-3.1-35B-A3B

Hcompany/Holo-3.1-35B-A3B is a image text to text model indexed for deployment research. Estimated minimum GPU memory is 80 GB. It is publicly listed on Hugging Face.

↓ 1,391♡ 89
35.0B80 GB+ VRAMapache-2.0
Deployment details →
text-generationGated

speakleash/Bielik-1.5B-v3.0-Instruct

speakleash/Bielik-1.5B-v3.0-Instruct is a text generation model indexed for deployment research. Estimated minimum GPU memory is 6 GB. Access approval is required on Hugging Face.

↓ 1,390♡ 17
1.5B6 GB+ VRAMapache-2.0
Deployment details →
text-to-speech

litert-community/Matcha-TTS

litert-community/Matcha-TTS is a text to speech model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,390♡ 5
Unknown8 GB+ VRAMmit
Deployment details →
text-generation

ibm-granite/granite-4.2-8b-fp8

ibm-granite/granite-4.2-8b-fp8 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.

↓ 1,390♡ 0
8.0B24 GB+ VRAMapache-2.0
Deployment details →
general AI

mradermacher/Raven-8B-v1-i1-GGUF

mradermacher/Raven-8B-v1-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.

↓ 1,389♡ 1
8.0B8 GB+ VRAMapache-2.0
Deployment details →
general AI

mlx-community/Qwen3-ASR-1.7B-4bit

mlx-community/Qwen3-ASR-1.7B-4bit is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.

↓ 1,388♡ 1
1.7B4 GB+ VRAMapache-2.0
Deployment details →
text-to-speech

notmax123/QwenTTS-he-1.7B

notmax123/QwenTTS-he-1.7B is a text to speech model indexed for deployment research. Estimated minimum GPU memory is 6 GB. It is publicly listed on Hugging Face.

↓ 1,388♡ 0
1.7B6 GB+ VRAMapache-2.0
Deployment details →
general AI

mradermacher/EVisRAG-7B-i1-GGUF

mradermacher/EVisRAG-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.

↓ 1,387♡ 1
7.0B8 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text

thelamapi/next-ocr-i1-GGUF

thelamapi/next-ocr-i1-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.

↓ 1,387♡ 2
Unknown8 GB+ VRAMapache-2.0
Deployment details →