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Vortex 3b Model Overview

Vortex-3b-v2 is an upgraded version of the Vortex-3b model ie. a 2.78 billion parameter causal language model created by OEvortex that was derived from EleutherAI's Pythia-2.8b and trained on 79% of uncensored-vortex dataset

from transformers import pipeline

# Initialize the pipeline
pipe = pipeline("text-generation", model="OEvortex/vortex-3b-v2")

# Use the pipeline
text = "Once upon a time"
generated_text = pipe(text, max_length=100, do_sample=True)[0]['generated_text']

print(generated_text)
# Use a pipeline as a high-level helper
from transformers import pipeline

text = pipeline(model="OEvortex/vortex-3b-v2", torch_dtype=torch.bfloat16, device_map="auto")

res = text("Explain to me the difference between nuclear fission and fusion.")
print(res[0]["text"])

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric vortex 3b vortex 3b-v2 dolly-v2-3b pythia-2.8b-deduped
Avg. 35.76 37.46 25.26 36.72
AI2 Reasoning Challenge (25-Shot) 31.91 39.68 22.83 36.26
HellaSwag (10-Shot) 56.89 65.04 26.55 60.66
MMLU (5-Shot) 27.32 25.09 24.7 26.78
TruthfulQA (0-shot) 37.39 33.80 0 35.56
Winogrande (5-shot) 60.14 59.12 59.43 60.22
GSM8k (5-shot) 0.91 2.05 1.86 0.83
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Dataset used to train OEvortex/vortex-3b-v2

Evaluation results