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---
datasets:
- ewof/koishi-instruct-metharme
---
## Base Model
native fine tune of togethercomputer/RedPajama-INCITE-Base-3B-v1
## Prompting
The current model version has been trained on prompts using three different roles, which are denoted by the following tokens: `<|system|>`, `<|user|>` and `<|model|>`.
The `<|system|>` prompt can be used to inject out-of-channel information behind the scenes, while the `<|user|>` prompt should be used to indicate user input. The `<|model|>` token should then be used to indicate that the model should generate a response. These tokens can happen multiple times and be chained up to form a conversation history.
## Benchmarks
trained on commit 96baf32 of the linked dataset
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_ewof__koishi-instruct-3b)
| Metric | Value |
|-----------------------|---------------------------|
| Avg. | 33.48 |
| ARC (25-shot) | 40.96 |
| HellaSwag (10-shot) | 64.54 |
| MMLU (5-shot) | 26.58 |
| TruthfulQA (0-shot) | 31.65 |
| Winogrande (5-shot) | 64.09 |
| GSM8K (5-shot) | 1.14 |
| DROP (3-shot) | 5.41 |
|