JEV-35B-bf16 (bf16)

Full-precision (bf16) PyTorch port of autotrust/JEV-35B, for vLLM / TGI / Xinference / transformers users who don't want the GGUF quant.

• Format: pytorch_model.bin (bf16). safetensors conversion in progress.
• Architecture: identical to the original — drop-in for AutoModelForCausalLM.from_pretrained("rty813/JEV-35B-bf16").
• Also loads in vLLM (vllm serve rty813/JEV-35B-bf16) and Xinference (search "JEV-35B").

Original model card:

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license: apache-2.0 base_model: Qwen/Qwen3.5-35B-A3B base_model_relation: finetune library_name: transformers pipeline_tag: text-classification language: - en tags: - system-one - typed-decisions - decision-model - calibrated-probabilities - jev - noul - choice - score - qwen3_5_moe - mixture-of-experts - vllm model-index: - name: autotrust/JEV-35B results: - task: type: text-classification name: Jev Decision Index 0.3, public suite, System 1 (own scoring with the kit, not a board entry) dataset: type: decision-index name: Decision Index 0.3 public suite metrics: - type: decision_index name: Decision Index 0.3 public index value: 59.73

autotrust/JEV-35B

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