rafmacalaba/gliner_datause
rafmacalaba/gliner_datause is a token classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
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rafmacalaba/gliner_datause is a token classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
ggml-org/granite-docling-258M-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
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lued/Qwen3.8-27B-DFlash2-W8 is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 32 GB. It is publicly listed on Hugging Face.
RichardErkhov/RyanYr_-_reflect_llm8B_Om2SftT2_Om2G8kOm2AgBlcIpsdpIter1T02_b0.1-gguf is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
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Wan-AI/Wan2.2-Animate-2-14B-Distilled-Diffusers is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 48 GB. It is publicly listed on Hugging Face.
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