--- language: - en license: other tags: - HelpingAI - vortex datasets: - OEvortex/uncensored-vortex license_name: hsul license_link: https://huggingface.co/OEvortex/vortex-3b/raw/main/LICENSE.md pipeline_tag: text-generation model-index: - name: vortex-3b-v2 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: 39.68 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=OEvortex/vortex-3b-v2 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: 65.04 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=OEvortex/vortex-3b-v2 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: 25.09 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=OEvortex/vortex-3b-v2 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: 33.8 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=OEvortex/vortex-3b-v2 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: 59.12 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=OEvortex/vortex-3b-v2 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: 2.05 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=OEvortex/vortex-3b-v2 name: Open LLM Leaderboard --- ![Vortex 3b](https://cdn-lfs-us-1.huggingface.co/repos/68/cb/68cb18839210e9d774c72c739ef72fb95cb03f6f857e6b5a2377406f2078e65a/04b4c8104a551ec9754fd1169842ee67c06ced0fb16569b5fca804c2068578e9?response-content-disposition=inline%3B+filename*%3DUTF-8%27%27vortex%25203b.png%3B+filename%3D%22vortex+3b.png%22%3B&response-content-type=image%2Fpng&Expires=1711282309&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTcxMTI4MjMwOX19LCJSZXNvdXJjZSI6Imh0dHBzOi8vY2RuLWxmcy11cy0xLmh1Z2dpbmdmYWNlLmNvL3JlcG9zLzY4L2NiLzY4Y2IxODgzOTIxMGU5ZDc3NGM3MmM3MzllZjcyZmI5NWNiMDNmNmY4NTdlNmI1YTIzNzc0MDZmMjA3OGU2NWEvMDRiNGM4MTA0YTU1MWVjOTc1NGZkMTE2OTg0MmVlNjdjMDZjZWQwZmIxNjU2OWI1ZmNhODA0YzIwNjg1NzhlOT9yZXNwb25zZS1jb250ZW50LWRpc3Bvc2l0aW9uPSomcmVzcG9uc2UtY29udGVudC10eXBlPSoifV19&Signature=T0d7vhvs9DjdMClzOOEyJMVe4e33u7A-9VTvApC3lMQgW7GXt-hOACXDWDp2TQMv6WoxL7DmGBh-d2uXvGT-2Sqx%7EUcce2pxq1yqtkMEi7sf2WYSHtmaXrIWAiVF%7EPeidG1wRr8wfUY3qIjlKtMVJs7RGbzvAgyvhscazuqutIj37tlIjEcYUXYOuYZoqA3OhoXfpiawCvmXc%7EAul-bAWwAYx91BWvGw9fw4tv20wisJDsh6BV7HEWnV%7EYbXvCxxlZZ4BbcWrYDN%7EMRf48EElCacf5KMpDMbCa52rO-ZvXCWgap%7EzUaIemRSQ84rpgTlVKb--D3GL3pUwRroaiRF7A__&Key-Pair-Id=KCD77M1F0VK2B) **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 ```python 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) ``` ```python # 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](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_OEvortex__vortex-3b-v2) | 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 |