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autotrust
/
GEV-26B-Decide

Text Classification
Transformers
Safetensors
English
gemma4
image-text-to-text
system-one
system-two
adaptive-thinking
typed-decisions
decision-model
calibrated-probabilities
jev
noul
choice
score
lora
mixture-of-experts
multimodal
vllm
Eval Results (legacy)
Model card Files Files and versions
xet
Community
1

Instructions to use autotrust/GEV-26B-Decide with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use autotrust/GEV-26B-Decide with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="autotrust/GEV-26B-Decide")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoProcessor, AutoModelForMultimodalLM
    
    processor = AutoProcessor.from_pretrained("autotrust/GEV-26B-Decide")
    model = AutoModelForMultimodalLM.from_pretrained("autotrust/GEV-26B-Decide", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
GEV-26B-Decide / reports
179 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
cloudyu's picture
cloudyu
Add robot-arm and computer-use demos (videos, results) to the model card
7c89590 verified 3 days ago
  • demos
    Add robot-arm and computer-use demos (videos, results) to the model card 3 days ago
  • adaptive_latency_summary.json
    2.51 kB
    Decision Index 0.2.1 with adaptive thinking on all ten Knowledge & Reasoning benchmarks: 62.48 (MMLU-Pro 84.6, BBH 92.0); latency with and without speculative decoding 4 days ago
  • adaptive_other_areas_sample.json
    1.04 kB
    Model card: thinking on Knowledge & Reasoning only; sample of five other-area benchmarks with adaptive thinking 4 days ago
  • adaptive_validation_summary.json
    1.93 kB
    Add files using upload-large-folder tool 5 days ago
  • decision_index_adaptive.json
    2.34 kB
    Decision Index 0.2.1 with adaptive thinking on all ten Knowledge & Reasoning benchmarks: 62.48 (MMLU-Pro 84.6, BBH 92.0); latency with and without speculative decoding 4 days ago
  • thinking_games.json
    2.19 kB
    Model card: Watch it think (Minesweeper, Connect Four, Wordle, Sudoku videos); one-move puzzles and games with and without thinking 4 days ago