tasksource/tasksource-jev-nano-v0
text-classification model by tasksource
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Model card & documentation
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High-Throughput Native Decision Model (<200M Parameters) Decoupled Multi-Vector Late Interaction for Fast, Calibrated System-One Decisions [](https://github.com/sileod/decision-models) [](https://github.com/sileod/decision-models) [](https://github.com/sileod/decision-models) [](https://opensource.org/licenses/Apache-2.0) [](https://huggingface.co/answerdotai/ModernBERT-base) [](https://huggingface.co/answerdotai/ModernBERT-base) Tasksource-JEV-Nano is a compact (149M parameter) decision model that picks the optimal action, category, or verdict from a candidate list using token-level multi-vector late interaction rather than conventional classification heads.…
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Inside the original model card — Document outline
- ⚡ Tasksource-JEV-Nano (tasksource-jev-nano-v0)
- What is Tasksource-JEV-Nano?
- Key Architectural Strengths
- 📊 Benchmark Evaluations
- Community Benchmarks
- Authentic Out-of-Distribution Transfer Accuracy (Official Decision Index Suite)
- 🚀 Quickstart
- Method 1: Using pylate (Recommended)
- Method 2: Pure Hugging Face transformers (Zero Extra Dependencies)
- 🔬 Benchmark Firewall & Zero-Contamination Guarantees
- 📜 Citation
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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
tasksource/tasksource-jev-nano-v0 is a text-classification model repository published by tasksource on Hugging Face. The source reports the sentence-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
- sentence-transformers
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 149,015,808
- Architecture
- ModernBertModel
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-09-28T06:18:43.000Z
- Last modified
- 2026-09-28T06:19:07.000Z
Compatibility and lineage
Reported languages: en
Reported base models: lightonai/LateOn
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 2026-09-28T06:38:00.545Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.