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 |
- Downloads last month
- 140
Inference Providers
NEW
This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.
Model tree for andysalerno/mistral-sft-v3
Dataset used to train andysalerno/mistral-sft-v3
Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard61.350
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard82.230
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard63.400
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard48.490
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard77.660
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard32.450