Test merge of 7b models for learning purposees.
New in v0.2:
Wanted to try a different gate type and using bfloat16, along with more detailed prompting to see if there's a noticeable difference.
Description:
This model is a merge of BAAI/Infinity-Instruct-7M-Gen-mistral-7B, SanjiWatsuki/Kunoichi-7B, Gryphe_Tiamat-7b-1.1-DPO, Senseable_WestLake-7B-v2 and uukuguy/speechless-instruct-mistral-7b-v0.2
This is the first model I've ever uploaded and wanted to learn more about the process. Merged using mergekit-moe.
Works up to 8k context, 16k with 2.5 RoPe scaling
Prompt template: Custom format, or Alpaca
Alpaca:
Below is an instruction that describes a task. Write a response that appropriately completes the request.
Instruction:
{prompt}
Response:
Detailed results can be found
here| Metric | Value |
|---|
| Avg. | 19.14 |
| IFEval (0-Shot) | 37.52 |
| BBH (3-Shot) | 30.34 |
| MATH Lvl 5 (4-Shot) | 5.14 |
| GPQA (0-shot) | 6.49 |
| MuSR (0-shot) | 10.96 |
| MMLU-PRO (5-shot) | 24.41 |
