Dionysus-Mistral-m3-v6/README.md

language, license, model-index

language	license	model-index
en	cc-by-nc-4.0	name results Dionysus-Mistral-m3-v6 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 63.14 normalized accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=decem/Dionysus-Mistral-m3-v6 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 84.51 normalized accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=decem/Dionysus-Mistral-m3-v6 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 62.82 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=decem/Dionysus-Mistral-m3-v6 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 49.49 url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=decem/Dionysus-Mistral-m3-v6 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 78.45 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=decem/Dionysus-Mistral-m3-v6 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 64.22 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=decem/Dionysus-Mistral-m3-v6 Open LLM Leaderboard

Dionysus-Mistral-m3-v6 - A Fine-tuned Language Model

Overview

Dionysus-Mistral-m3-v6 is a language model fine-tuned on the AIDC-ai-business/Marcoroni-7B-v3 architecture. This model is mainly used for roleplay.

Model Details

• Developer: DECEM
• Base Model: AIDC-ai-business/Marcoroni-7B-v3
• Fine-tuning Method: SFT
• Language: English

Prompting

Prompt Template for alpaca style

{system prompt} (without the {})

### Instruction:
{user_name}: {prompt} (without the {})

### Response:
{character_name}: (without the {})

stop_words: </s>

Open LLM Leaderboard Evaluation Details

https://huggingface.co/datasets/open-llm-leaderboard/details_decem__Dionysus-Mistral-m3-v6

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	67.10
AI2 Reasoning Challenge (25-Shot)	63.14
HellaSwag (10-Shot)	84.51
MMLU (5-Shot)	62.82
TruthfulQA (0-shot)	49.49
Winogrande (5-shot)	78.45
GSM8k (5-shot)	64.22