license, pipeline_tag, license_name, model-index

license	pipeline_tag	license_name	model-index
other	text-generation	microsoft-research-license	name results Orca-2-13b-Alpaca-Uncensored task dataset metrics source type name text-generation Text Generation name type config split args AI2 Reasoning Challenge (25-Shot) ai2_arc ARC-Challenge test num_few_shot 25 type value name acc_norm 61.09 normalized accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=athirdpath/Orca-2-13b-Alpaca-Uncensored Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type split args HellaSwag (10-Shot) hellaswag validation num_few_shot 10 type value name acc_norm 79.27 normalized accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=athirdpath/Orca-2-13b-Alpaca-Uncensored Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type config split args MMLU (5-Shot) cais/mmlu all test num_few_shot 5 type value name acc 60.13 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=athirdpath/Orca-2-13b-Alpaca-Uncensored Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type config split args TruthfulQA (0-shot) truthful_qa multiple_choice validation num_few_shot 0 type value mc2 53.59 url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=athirdpath/Orca-2-13b-Alpaca-Uncensored Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type config split args Winogrande (5-shot) winogrande winogrande_xl validation num_few_shot 5 type value name acc 77.43 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=athirdpath/Orca-2-13b-Alpaca-Uncensored Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type config split args GSM8k (5-shot) gsm8k main test num_few_shot 5 type value name acc 38.29 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=athirdpath/Orca-2-13b-Alpaca-Uncensored Open LLM Leaderboard

This model is a fine-tuned version of microsoft/Orca-2-13b on a subset of the Vezora/Mini_Orca_Uncencored_Alpaca dataset, adjusted to demonstrate the relationship between instruction and input, with some particularly spicy prompts added to reduce the risk of rejections.

Only the q_proj and k_proj modules were targeted and a low rank (8) was used, in hopes of containing the adjustments to the prompt format and alignment. This is promising on paper, with the training's per-step loss averaging <0.9 for the last third of the run.

Reasoning stayed solid (for a 13b model) and I consider this a success. Performance is slighty worse than OG Orca-2 in Ooba's chat mode, comparable in Alpaca chat-instruct mode to the OG in ChatLM chat-instruct mode.

May still reject some shocking prompts, but can easily be overcome with author's note or character card.

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	61.63
AI2 Reasoning Challenge (25-Shot)	61.09
HellaSwag (10-Shot)	79.27
MMLU (5-Shot)	60.13
TruthfulQA (0-shot)	53.59
Winogrande (5-shot)	77.43
GSM8k (5-shot)	38.29