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Oldest models listed first, with Newest models at bottom of the page. Most repos have full examples, instructions, best settings and so on. • 289 items • Updated • 1.02k
How to use DavidAU/gemma-4-E2B-it-The-DECKARD-Expresso-ONE-Universe-HERETIC-UNCENSORED-Thinking with Transformers:
# Load model directly
from transformers import AutoProcessor, AutoModelForMultimodalLM
processor = AutoProcessor.from_pretrained("DavidAU/gemma-4-E2B-it-The-DECKARD-Expresso-ONE-Universe-HERETIC-UNCENSORED-Thinking")
model = AutoModelForMultimodalLM.from_pretrained("DavidAU/gemma-4-E2B-it-The-DECKARD-Expresso-ONE-Universe-HERETIC-UNCENSORED-Thinking", device_map="auto")IN HOUSE BENCHMARKS [by Nightmedia]:
arc-c arc/e boolq hswag obkqa piqa wino
gemma-4-E2B-it-The-DECKARD-Expresso-ONE-Universe-HERETIC-UNCENSORED-Thinking
q8-hi 0.410,0.515,0.729,0.598,0.396,0.738,0.619
gemma-4-E2B-it-The-DECKARD-HERETIC-UNCENSORED-Thinking
mxfp8 0.389,0.480,0.767,0.599,0.408,0.729,0.629
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BASE UNTUNED MODEL:
gemma-4-E2B-it
bf16 0.389,0.465,0.762,0.486,0.372,0.707,0.641
q8-hi 0.392,0.462,0.762,0.487,0.376,0.706,0.636