Feature Extraction
Transformers
Safetensors
modernbert
typed-decisions
decision-index
decision-model
cross-encoder
text-embeddings-inference
Instructions to use tasksource/tasksource-decider-nano with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tasksource/tasksource-decider-nano with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="tasksource/tasksource-decider-nano")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("tasksource/tasksource-decider-nano") model = AutoModel.from_pretrained("tasksource/tasksource-decider-nano", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Card: #1 under 300M parameters on Decision Index 0.4; drop version history
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README.md
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# tasksource-decider-nano
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This repository was `tasksource/tasksource-jev-nano-v1`. Its `main` (tag `v5`) is the joint cross-encoder trained for
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64,000 steps on an updated mix. Earlier versions stay at their tags: [`v4`](https://huggingface.co/tasksource/tasksource-decider-nano/tree/v4)
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(48,000 steps, public index 30.90), [`v3`](https://huggingface.co/tasksource/tasksource-decider-nano/tree/v3) (24,000 steps, 29.05),
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[`v2`](https://huggingface.co/tasksource/tasksource-decider-nano/tree/v2) (12,000 steps, 26.77) and the previous multi-vector model at
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[`v1`](https://huggingface.co/tasksource/tasksource-decider-nano/tree/v1).
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A 150M-parameter typed-decision model for the [Decision Index](https://huggingface.co/spaces/multimodalart/jev-decision-index).
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It takes a `state` and typed questions (`choice`, `noul`) and returns a probability for every option. It does not
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generate text.
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| Decision Index 0.3, public index | **33.51** |
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| Requests | 140,171 `ok`, 7 `unsupported` (pairs above 8,192 tokens) |
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| Latency, 1脳 NVIDIA A30 24 GB (shared), one request at a time | median 23 ms 路 mean 33 ms 路 p80 37 ms |
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# tasksource-decider-nano
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A 150M-parameter typed-decision model for the [Decision Index](https://huggingface.co/spaces/multimodalart/jev-decision-index).
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It takes a `state` and typed questions (`choice`, `noul`) and returns a probability for every option. It does not
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generate text.
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**#1 among models under 300M parameters on the [Decision Index 0.4](https://huggingface.co/spaces/multimodalart/jev-decision-index)** (Full 19.85, October 2026).
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| Decision Index 0.4, Full (private same-skills + new-domains) | **19.85** |
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| Decision Index 0.3, public index | **33.51** |
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| Requests | 140,171 `ok`, 7 `unsupported` (pairs above 8,192 tokens) |
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| Latency, 1脳 NVIDIA A30 24 GB (shared), one request at a time | median 23 ms 路 mean 33 ms 路 p80 37 ms |
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