clm-project/jev-boost-kn2-quality-qwen3.6-35b-a3b-fp8-embeddings

Jev boost: kn2-quality: Qwen3.6-35B-A3B-FP8 state/action embeddings tasksource/QuALITY (revision 4892b065e6a40f44fa61bc406df4c35fe91e9290), split train, converted into decisions shaped like the Jev Decision Index's Knowledge & Reasoning requests (MuSR) and embedded with Qwen/Qwen3.6-35B-A3B-FP8 (vLLM pooling, last token, L2-normalized, 2048-d) for post-training CLM heads (clm_train: clm_train.data.jev_boost, docs/jev-boost.md). long stories, whole-text inference questions, 4… See the full description on the dataset page: https://huggingface.co/datasets/clm-project/jev-boost-kn2-quality-qwen3.6

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