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Risk: All CRITICAL HIGH MEDIUM LOW
C
cross-encoder/ms-marco-MiniLM-L6-v2 HF PQC Verified

Text-RankingSentence-TransformersPyTorchJAXONNXSafetensors MEDIUM
C
cross-encoder/ms-marco-MiniLM-L4-v2 HF PQC Verified

Text-RankingSentence-TransformersPyTorchJAXONNXSafetensors MEDIUM
I
ISTA-DASLab/Qwen3.8-Flash-Next-GSQ-RCO-GGUF HF Unverified

Image-Text-to-TextGGUFGsqRcoQuantizationMixed-Precision CRITICAL
C
cross-encoder/mmarco-mMiniLMv2-L12-H384-v1 HF PQC Verified

Text-RankingSentence-TransformersPyTorchONNXSafetensorsOpenvino HIGH
C
cross-encoder/ms-marco-MiniLM-L12-v2 HF PQC Verified

Text-RankingSentence-TransformersPyTorchJAXONNXSafetensors HIGH
B
bigcode/starcoder2-15b HF Ollama PQC Verified

Code LLM trained on The Stack v2 with 600+ programming languages. 4x the training data of StarCoder1.

TransformerCode Generation15B HIGH
ATH-MaaS/Marco_Longspeech HF Unverified

Marco-LongSpeech Dataset Marco-LongSpeech is a multi-task long speech understanding dataset containing 8 different speech understanding tasks designed to benchmark Large Language Models on lengthy audio inputs. 📊 Dataset Statistics Task Statistics Task Train Val Test Total Unique Audios ASR 71,275 15,273 15,274 101,822 101,822 Temporal_Relative_QA 5,886 1,261 1,262 8,409 8,409 summary 4,366 935 937 6,238 6,238… See the full description on the dataset page: https://huggingface.co/datasets/ATH-MaaS/Marco_Longspeech.

Task_categories:automatic-Speech-RecognitionTask_categories:audio-ClassificationTask_categories:text-GenerationLanguage:enLanguage:zhSize_categories:10K<n<100K
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