RichardErkhov/OEvortex_-_vortex-3b-8bits

Quantization made by Richard Erkhov.

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vortex-3b - bnb 8bits

• Model creator: https://huggingface.co/OEvortex/
• Original model: https://huggingface.co/OEvortex/vortex-3b/

Original model description:

language: - en license: other tags: - HelpingAI - vortex datasets: - OEvortex/Vortex-50k license_name: helpingai license_link: LICENSE.md pipeline_tag: text-generation model-index: - name: vortex-3b results: - task: type: text-generation name: Text Generation dataset: name: AI2 Reasoning Challenge (25-Shot) type: ai2_arc config: ARC-Challenge split: test args: num_few_shot: 25 metrics: - type: acc_norm value: 31.91 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=OEvortex/vortex-3b name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: HellaSwag (10-Shot) type: hellaswag split: validation args: num_few_shot: 10 metrics: - type: acc_norm value: 56.89 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=OEvortex/vortex-3b name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: MMLU (5-Shot) type: cais/mmlu config: all split: test args: num_few_shot: 5 metrics: - type: acc value: 27.32 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=OEvortex/vortex-3b name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: TruthfulQA (0-shot) type: truthful_qa config: multiple_choice split: validation args: num_few_shot: 0 metrics: - type: mc2 value: 37.39 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=OEvortex/vortex-3b name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: Winogrande (5-shot) type: winogrande config: winogrande_xl split: validation args: num_few_shot: 5 metrics: - type: acc value: 60.14 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=OEvortex/vortex-3b name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: GSM8k (5-shot) type: gsm8k config: main split: test args: num_few_shot: 5 metrics: - type: acc value: 0.91 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=OEvortex/vortex-3b name: Open LLM Leaderboard

Model Overview

vortex-3b is a 2.78 billion parameter causal language model created by OEvortex that is derived from EleutherAI's Pythia-2.8b and fine-tuned on Vortex-50k dataset'

from transformers import pipeline

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

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

print(generated_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