Gecko-7B-v0.1
Designed to generate instructive and narrative text, with a focus on mathematics & numeracy.
Full-parameter fine-tune (FFT) of Mistral-7B-Instruct-v0.2, with apache-2.0 license.
You may download and use this model for research, training and commercial purposes.
This model is suitable for commercial deployment.
Data-set
The model was finetuned using the Neural-Mini-Math dataset (Currently Private)
Summary
Fine-tuned with the intention of following all prompt directions, making it more suitable for roleplay and problem solving.
Out-of-Scope Use
The model may not perform well in scenarios unrelated to instructive and narrative text generation. Misuse or applications outside its designed scope may result in suboptimal outcomes.
Bias, Risks, and Limitations
This model may not work as intended. As such all users are encouraged to use this model with caution and respect.
This model is for testing and research purposes only, it has reduced levels of alignment and as a result may produce NSFW or harmful content. The user is responsible for their output and must use this model responsibly.
Hardware and Training
n_epochs = 3,
n_checkpoints = 3,
batch_size = 12,
learning_rate = 1e-5,
Sincere appreciation to Techmind for their generous sponsorship.
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
Metric | Value |
---|---|
Avg. | 64.58 |
AI2 Reasoning Challenge (25-Shot) | 61.35 |
HellaSwag (10-Shot) | 83.36 |
MMLU (5-Shot) | 61.05 |
TruthfulQA (0-shot) | 62.60 |
Winogrande (5-shot) | 77.58 |
GSM8k (5-shot) | 41.55 |
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Base model
mistralai/Mistral-7B-Instruct-v0.2Spaces using NeuralNovel/Gecko-7B-v0.1 6
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 Leaderboard83.360
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard61.050
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard62.600
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard77.580
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard41.550