AlexWortega/openjev — new model trending #30 on Hugging Face
AlexWortega released openjev on Hugging Face, a Qwen3.5-based NLI cross-encoder (4B and 35B-A3B MoE) for reranking, grading, and zero-shot game agents.
The openjev model repurposes Qwen3.5 into a three-label cross-encoder (entailment, contradiction, neutral) released under MIT license and trending #30 on Hugging Face. It ships a 4B sequence-classification checkpoint plus a frozen Qwen3.5-35B-A3B MoE backbone with small per-task MLP heads on the last-token latent. The author demonstrates zero-shot play of Flappy Bird and Doom from text states and raw pixels via the Qwen3.5 vision tower, with no per-task training. Included code covers training, a multiple-choice harness, replays, and raw JSON results.
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