HUGGING FACE MODEL INDEXSearch and compare Hugging Face models.
1,870,954 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.
general AI
mradermacher/Mistral-Nemo-Instruct-2407-heretic-noslop-MPOA-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.
↓ 1,038♡ 1
Unknown8 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/XbyK-0.1-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.
↓ 1,038♡ 1
Unknown8 GB+ VRAMapache-2.0
Deployment details →
text-generation
mradermacher/Radon-35B-Ultra-X-RU-i1-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 32 GB. It is publicly listed on Hugging Face.
↓ 1,038♡ 0
35.0B32 GB+ VRAMapache-2.0
Deployment details →
translation
Helsinki-NLP/opus-mt_tiny_spa-eng is a translation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 1,038♡ 1
Unknown8 GB+ VRAMapache-2.0
Deployment details →
text-generation
P4tchFake/Qwen3.5-9B-Gemini-3.1-Pro-Reasoning-Distill-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 1,038♡ 0
9.0B8 GB+ VRAMapache-2.0
Deployment details →
text-generation
Diamegs/PIT-4B-FT-202412 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 12 GB. It is publicly listed on Hugging Face.
↓ 1,038♡ 0
4.0B12 GB+ VRAMapache-2.0
Deployment details →
image-classification
timm/tf_efficientnetv2_xl.in21k_ft_in1k is a image classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 1,037♡ 5
Unknown8 GB+ VRAMapache-2.0
Deployment details →
sentence-similarity
avemio/German-RAG-BGE-M3-MERGED-x-SNOWFLAKE-ARCTIC-HESSIAN-AI is a sentence similarity model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
↓ 1,037♡ 2
Unknown4 GB+ VRAMmit
Deployment details →
general AI
mradermacher/Rapeto-ReDistill-14B-GOP-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.
↓ 1,037♡ 0
14.0B12 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/Llama-3.1-Dark-Planet-8B-SuperNova-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.
↓ 1,037♡ 1
8.0B8 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/Goedel-Prover-V2-32B-i1-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.
↓ 1,037♡ 2
32.0B24 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/GLM-Z1-Rumination-32B-0414-i1-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.
↓ 1,037♡ 1
32.0B24 GB+ VRAMmit
Deployment details →
text-generation
mlx-community/granite-4.0-h-tiny-4bit is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 1,037♡ 0
Unknown8 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/Kraken-12B-v0-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.
↓ 1,037♡ 1
12.0B12 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text
mlx-community/Qwen3.6-27B-nvfp4 is a image text to text model indexed for deployment research. Estimated minimum GPU memory is 64 GB. It is publicly listed on Hugging Face.
↓ 1,037♡ 9
27.0B64 GB+ VRAMapache-2.0
Deployment details →
general AI
armand0e/Qwen3.5-9B-Opus-Agent-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 1,037♡ 8
9.0B8 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/gemma-4-12b-crownelius-writer-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.
↓ 1,037♡ 3
12.0B12 GB+ VRAMapache-2.0
Deployment details →
text-generation
lmstudio-community/Ornith-1.0-35B-MLX-6bit is a text generation model indexed for deployment research. Estimated minimum GPU memory is 80 GB. It is publicly listed on Hugging Face.
↓ 1,037♡ 0
35.0B80 GB+ VRAMmit
Deployment details →
text-generation
turintech/GLM-5.2-MaxMin108-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 1,037♡ 5
Unknown8 GB+ VRAMmit
Deployment details →
general AI
mradermacher/MSFIT-9B-v4-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.
↓ 1,037♡ 2
9.0B8 GB+ VRAMapache-2.0
Deployment details →
text-generation
CodeSoft/sorbet-mini-experimental is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 1,037♡ 1
Unknown8 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/TDM-8b-v0.1-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.
↓ 1,036♡ 0
8.0B8 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text
Mungert/InternVL3-8B-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.
↓ 1,036♡ 0
8.0B8 GB+ VRAMapache-2.0
Deployment details →
text-classification
llm-semantic-router/lora_intent_classifier_bert-base-uncased_model is a text classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 1,036♡ 1
Unknown8 GB+ VRAMapache-2.0
Deployment details →