autotrust/JEV-35B-NVFP4

text-classification model by autotrust

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[](https://news.guru.so/ui) This repository is autotrust/JEV-35B with its 10,240 routed expert MLPs (40 layers × 256 experts) quantized to NVFP4. Everything else is the bf16 model unchanged: attention, linear attention, the shared expert, the routers, the vision tower, the MTP layer, the lmhead, the System 1 adapter, the decision head and the temperatures. Below the NVFP4 comparison, the rest of this card is the JEV-35B card; its tables are the bf16 results unless marked otherwise. Retrieval 0.706, Tools 0.753, Arts 0.413); the largest per-benchmark changes are Home appliance simulator −5.7, CRUXEval −4.7 and GPQA +5.4. CharXiv charts (−5.3). test p = 0.63); every grasped cube still reached the tray (13/13). on finished sketches (bf16 86.3 %), chess mate-in-one 45 % (bf16 47 %), Connect Four 1 win of 6 (bf16 0). The two videos below were recorded with this NVFP4 checkpoint; per-episode NVFP4 results are in reports/demos-nvfp4/, the bf16 ones in…

autotrust/JEV-35B-NVFP4 on Hugging Face A short preview, not the full document.

Read the full model card ↗ · Preview checked 2026-10-30T04:41:36.032Z

Inside the original model card — Document outline
  1. autotrust/JEV-35B-NVFP4
  2. 🔴 Live: AutoTrust/GuruSearch recommendation & search demo → news.guru.so
  3. autotrust/JEV-35B with NVFP4 routed experts: the same model in 23 GiB of GPU memory instead of 66 Gi
  4. NVFP4 version
  5. Deploy the NVFP4 version (vLLM)
  6. The JEV-35B card (bf16 results)
  7. A System 1 decision model on Qwen3.5-35B-A3B (35 B parameters, about 3 B active per token), up to 25
  8. Decision Index 0.3 (public suite)
  9. Every benchmark
  10. Images (approximate public vision score)
  11. Speed
  12. Computer use, robot arm and games

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Model overview

autotrust/JEV-35B-NVFP4 is a text-classification model repository published by autotrust on Hugging Face. The source reports the transformers library.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task
text-classification
Library
transformers
Recent downloads (30 days)
33,343
Cumulative likes
308
Hugging Face trending score
206
Reported safetensors parameters
19,845,695,344
Architecture
Qwen3_5MoeForConditionalGeneration
License
apache-2.0
Access
Not gated by Hugging Face
Created
2026-10-11T03:05:28.000Z
Last modified
2026-10-11T03:50:40.000Z

Compatibility and lineage

Reported languages: en

Reported base models: autotrust/JEV-35B

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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Model card and usage instructions

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Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-10-15T06:41:17.732Z. Daily imports are snapshots, not real-time monitoring.

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