autotrust/AutoTrust-JEV-27B-v1.1
text-classification model by autotrust
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Model card & documentation
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Structured decisions. Measured performance. AutoTrust-JEV-27B v1.1 is a text decision model that assigns probabilities to the answer options supplied with each question. This card reports its measured performance on the Decision Index 0.3 public suite. Public index: 67.31 | 37 indexed benchmarks | 140,178 completed scoreable requests This is a complete local evaluation using the official evaluation kit, self-reported pending maintainer verification. No private or Full score is reported. The clearest strengths in this evaluation are tool selection, intent classification, and everyday automation decisions. Tools & Automation is the highest-scoring area at 85.19 skill points. These are scores on the Decision Index task adaptations, not claims of perfect real-world reliability or general deployment readiness. The skill score accounts for each task's chance level: zero represents chance-level performance and 100 represents perfect performance. The following numbers are copied from the official scorer's output. The public index is not a simple average…
Read the full model card ↗ · Preview checked 2026-10-29T02:56:44.148Z
Inside the original model card — Document outline
- AutoTrust-JEV-27B v1.1
- Benchmark highlights
- Scores by area
- Full benchmark results
- Knowledge & Reasoning
- Language Understanding
- Retrieval & Classification
- Tools & Automation
- Arts & Human Taste
- Comparison sources
- Interpreting the scores
- Evaluation conditions
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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
autotrust/AutoTrust-JEV-27B-v1.1 is a text-classification model repository published by autotrust on Hugging Face. The source reports the vllm 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
- vllm
- Recent downloads (30 days)
- 41,137
- Cumulative likes
- 158
- Hugging Face trending score
- 70
- Reported safetensors parameters
- 27,356,728,560
- Architecture
- Qwen3_5ForConditionalGeneration
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-10-17T07:59:58.000Z
- Last modified
- 2026-10-17T23:20:48.000Z
Compatibility and lineage
Language coverage was not reported.
Base-model lineage was not included.
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.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-25T06:45:38.398Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.