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Atlas3D
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Model Details
Model Provider
Atlas3D
Model Tree
autotrust/JEV-27B-VL
Input Modalities
Output Modalities
Supported Functionality
/v1/decide)Same harness and states as the bf16 model, compared one decision at a time:
| result | |
|---|---|
| Top choice agrees with bf16 | 299/308 (97.1%) |
| Largest probability change on any option | 0.061 |
| Sanity scenarios | sanity 6/6 |
This is a narrow test of the decision head. System 2 (free-text generation) quality was not separately benchmarked.
Serve it the same way as the original. serve_decide.py is included, and vLLM reads the quantization
from config.json:
bash
python serve_decide.py --model Atlas3D/JEV-27B-VL-FP8 --enable-lora --max-lora-rank 32 \ --lora-modules jev-decision=<path>/adapter_vllm --logprobs-mode processed_logprobs \ --enable-prefix-caching --mamba-cache-mode align --max-num-seqs 8 --trust-request-chat-templateSee the upstream card for the System 1 API, intended use and limitations, all of which apply unchanged.
Apache-2.0, as with the original. This is a modified (quantized) version of autotrust/JEV-27B-VL,
which is itself based on Qwen/Qwen3.8-27B. LICENSE is included unchanged.