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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
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Dataset used to train andysalerno/mistral-sft-v3

Evaluation results