1,774,968 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.
mradermacher/KaLM-embedding-multilingual-mini-v1-i1-GGUF is a feature extraction model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
mradermacher/cogito-v1-custom-qwen-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.
swiss-ai/Apertus-v1.1-0.5B-Instruct is a text generation model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
CohereLabs/North-Mini-Code-1.0-fp8 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
AbhishekG711/Qwen3-0.6B-Insight-Extractor is a text generation model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
mradermacher/Basically-Human-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.
mradermacher/InternVL3-2B-Instruct-i1-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
mradermacher/GroundNext-7B-V0-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.
mradermacher/llm-vn-1-7b-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.
natong19/refusal_classifier is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
mradermacher/MagicGUI_RFT-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.
mradermacher/gemma-3-270m-medical-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.
mradermacher/Nanbeige4.1-3B-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
ProCreations/grug-27b is a text generation model indexed for deployment research. Estimated minimum GPU memory is 64 GB. It is publicly listed on Hugging Face.
bench-labs/cagliostro-v1 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
zeromodels/qwen3-30b-a3b is a text generation model indexed for deployment research. Estimated minimum GPU memory is 80 GB. It is publicly listed on Hugging Face.
mradermacher/Josiefied-Qwen2.5-7B-Instruct-abliterated-v2-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
mradermacher/R3-Qwen3-14B-LoRA-4k-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.
mradermacher/ChemQwen-vL-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.
QuantStack/Wan2.2-Fun-5B-Control-Camera-GGUF is a image to video model indexed for deployment research. Estimated minimum GPU memory is 6 GB. It is publicly listed on Hugging Face.
Mungert/LiveCC-7B-Instruct-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
mradermacher/UI-Venus-Ground-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.
mradermacher/salamandraTA-2b-instruct-i1-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
mradermacher/Qwen3.5-4B-abliterated-aggressive-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.