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)
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")# 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
File size: 1,502 Bytes
dcc8186 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 | {
"base_model_path": ".",
"hidden_size": 2816,
"slots": {
"num_slots": 24,
"ranges": {
"noul": [
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],
"score": [
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],
"choice": [
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]
},
"verbalizers": [
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"true",
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"1",
"2",
"3",
"4",
"5",
"A",
"B",
"C",
"D",
"E",
"F",
"G",
"H",
"I",
"J",
"K",
"L",
"M",
"N",
"O",
"P"
],
"template_version": "bare-v1"
},
"verbalizer_ids": [
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],
"kinds": [
"noul",
"choice",
"score"
],
"softcap": 30.0,
"readout": {
"type": "last_token",
"canvas_len": 1,
"canvas_token": 0,
"prefix_token": 2,
"no_pad_mask": true
},
"stage": "s2",
"lora": {
"r": 32,
"alpha": 64,
"dropout": 0.05,
"target_modules": "model\\.language_model\\.layers\\.\\d+\\.(self_attn\\.(q|k|v|o)_proj|mlp\\.(gate|up|down)_proj)"
},
"model_name": "gev-26b-a4b",
"model_version": "0.1.0",
"adapter_subfolder": "adapter",
"weights_mode": "dual",
"base_model": "google/gemma-4-26B-A4B-it",
"temperatures": "jev"
} |