Qwen/Qwen3.5-35B-A3B-GPTQ-Int4
Qwen/Qwen3.5-35B-A3B-GPTQ-Int4 is a image text to text model indexed for deployment research. Estimated minimum GPU memory is 32 GB. It is publicly listed on Hugging Face.
2,429,301 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.
Qwen/Qwen3.5-35B-A3B-GPTQ-Int4 is a image text to text model indexed for deployment research. Estimated minimum GPU memory is 32 GB. It is publicly listed on Hugging Face.
boltzgen/boltzgen-1 is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
ai-sage/GigaAM-v3 is a automatic speech recognition model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
Qwen/Qwen3-8B-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
Qwen/Qwen3-Coder-Next is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
ggml-org/models-moved is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
openbmb/MiniCPM-V-4.6 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.
yuxinlu1/gemma-4-12B-coder-fable5-composer2.5-v1-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 12 GB. It is publicly listed on Hugging Face.
cyankiwi/Qwen3-30B-A3B-Instruct-2507-AWQ-4bit is a text generation model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.
E-MIMIC/inclusively-classification is a text classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
RedHatAI/Llama-3.2-3B-Instruct-FP8-dynamic is a text generation model indexed for deployment research. Estimated minimum GPU memory is 12 GB. It is publicly listed on Hugging Face.
handy-computer/whisper-medium-gguf is a automatic speech recognition model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
distil-whisper/distil-large-v3 is a automatic speech recognition model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
TencentBAC/Conan-embedding-v1 is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
deepset/roberta-base-squad2 is a question answering model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
optimum-intel-internal-testing/tiny-random-LlamaForCausalLM is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
Xenova/bge-small-en-v1.5 is a feature extraction model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
minishlab/potion-base-8M is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
cross-encoder/ms-marco-TinyBERT-L2-v2 is a text ranking model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
hmellor/tiny-random-LlamaForCausalLM is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
zed-industries/zeta is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
facebook/dinov3-vitb16-pretrain-lvd1689m is a image feature extraction model indexed for deployment research. Estimated minimum GPU memory is 8 GB. Access approval is required on Hugging Face.
microsoft/llmlingua-2-bert-base-multilingual-cased-meetingbank is a token classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
empero-ai/Qwen3.8-4B-Distill-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 6 GB. It is publicly listed on Hugging Face.