YAML Metadata Warning:The pipeline tag "text2text-generation" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
Uploaded model
- Developed by: shivam9980
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 17.08 |
| IFEval (0-Shot) | 46.34 |
| BBH (3-Shot) | 11.15 |
| MATH Lvl 5 (4-Shot) | 1.21 |
| GPQA (0-shot) | 7.83 |
| MuSR (0-shot) | 15.67 |
| MMLU-PRO (5-shot) | 20.31 |
Model tree for shivam9980/mistral-7b-news-cnn-merged
Base model
unsloth/mistral-7b-instruct-v0.2-bnb-4bitDataset used to train shivam9980/mistral-7b-news-cnn-merged
Space using shivam9980/mistral-7b-news-cnn-merged 1
Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard46.340
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard11.150
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard1.210
- acc_norm on GPQA (0-shot)Open LLM Leaderboard7.830
- acc_norm on MuSR (0-shot)Open LLM Leaderboard15.670
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard20.310