OEvortex/vortex-3b-v2

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