license, library_name, datasets, base_model, model-index

license	library_name	datasets	base_model	model-index
apache-2.0	transformers	andysalerno/ansalern-nectar-inputoutput	mistralai/Mistral-7B-v0.1	name results mistral-sft-v3 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 61.35 normalized accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=andysalerno/mistral-sft-v3 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 82.23 normalized accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=andysalerno/mistral-sft-v3 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 63.4 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=andysalerno/mistral-sft-v3 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 48.49 url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=andysalerno/mistral-sft-v3 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 77.66 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=andysalerno/mistral-sft-v3 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 32.45 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=andysalerno/mistral-sft-v3 Open LLM Leaderboard

This is mistralai/Mistral-7B-v0.1, but with the special tokens added for ChatML, and then lightly finetuned with sft using a ChatML formatted dataset: andysalerno/ansalern-nectar-inputoutput

The training was very light, so while this model correctly follows ChatML formatting, it is not intended to be a chat model.

Rather, it is intended to be a base for further fine-tuning models that will use ChatML.

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	60.93
AI2 Reasoning Challenge (25-Shot)	61.35
HellaSwag (10-Shot)	82.23
MMLU (5-Shot)	63.40
TruthfulQA (0-shot)	48.49
Winogrande (5-shot)	77.66
GSM8k (5-shot)	32.45