Text Classification
Transformers
Safetensors
English
qwen3_5_text
text-generation
system-one
system-two
blocks-of-experts
typed-decisions
decision-model
calibrated-probabilities
knowledge-distillation
jev
noul
choice
score
lora
qwen3_5
dual-head
vllm
Eval Results (legacy)
Eval Results
Instructions to use autotrust/JEV-27B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use autotrust/JEV-27B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="autotrust/JEV-27B")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("autotrust/JEV-27B") model = AutoModelForCausalLM.from_pretrained("autotrust/JEV-27B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Add Typed Decisions benchmark eval results
#2
by SaylorTwift HF Staff - opened
.eval_results/autotrust__JEV-27B.yaml
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- dataset:
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id: LocalLLaMA/typed-decisions
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task_id: accuracy
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value: 0.495
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date: "2026-10-16"
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source:
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url: https://huggingface.co/buckets/SaylorTwift/typed-decisions-evals
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name: "Typed Decisions benchmark run 2026-10-16 (results + leaderboard.md in bucket)"
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notes: "Evaluated one question per request (the model's native /v1/decide interface), not the benchmark's single-request protocol; option/rubric descriptions embedded in the question text."
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- dataset:
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id: LocalLLaMA/typed-decisions
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task_id: kl_from_gold
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value: 0.5497
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date: "2026-10-16"
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source:
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url: https://huggingface.co/buckets/SaylorTwift/typed-decisions-evals
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name: "Typed Decisions benchmark run 2026-10-16 (results + leaderboard.md in bucket)"
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notes: "Evaluated one question per request (the model's native /v1/decide interface), not the benchmark's single-request protocol; option/rubric descriptions embedded in the question text."
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- dataset:
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id: LocalLLaMA/typed-decisions
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task_id: brier
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value: 0.2534
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date: "2026-10-16"
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source:
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url: https://huggingface.co/buckets/SaylorTwift/typed-decisions-evals
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name: "Typed Decisions benchmark run 2026-10-16 (results + leaderboard.md in bucket)"
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notes: "Evaluated one question per request (the model's native /v1/decide interface), not the benchmark's single-request protocol; option/rubric descriptions embedded in the question text."
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- dataset:
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id: LocalLLaMA/typed-decisions
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task_id: ece
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value: 0.1364
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date: "2026-10-16"
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source:
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url: https://huggingface.co/buckets/SaylorTwift/typed-decisions-evals
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name: "Typed Decisions benchmark run 2026-10-16 (results + leaderboard.md in bucket)"
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notes: "Evaluated one question per request (the model's native /v1/decide interface), not the benchmark's single-request protocol; option/rubric descriptions embedded in the question text."
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