70 lines
2.6 KiB
Markdown
70 lines
2.6 KiB
Markdown
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---
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license: cc-by-nc-4.0
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---
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Re:MythoMax (ReMM) is a recreation trial of the original [MythoMax-L2-B13](https://huggingface.co/Gryphe/MythoMax-L2-13b) with updated models.
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Command useds and explaination :
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```shell
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Due to hardware limitation, some merge was done in 2 part.
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- Recreate ReML : Mythologic (v2) (Chronos/Hermes/Airboros)
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=> Replacing Chronos by The-Face-Of-Goonery/Chronos-Beluga-v2-13bfp16 (0.30)
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=> Replacing Airoboros by jondurbin/airoboros-l2-13b-2.1 (last version) (0.40)
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=> Keeping NousResearch/Nous-Hermes-Llama2-13b (0.30)
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Part 1: python ties_merge.py TheBloke/Llama-2-13B-fp16 ./ReML-L2-13B-part1 --merge The-Face-Of-Goonery/Chronos-Beluga-v2-13bfp16 --density 0.42 --merge jondurbin/airoboros-l2-13b-2.1 --density 0.56 --cuda
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Part 2: python ties_merge.py TheBloke/Llama-2-13B-fp16 ./ReML-L2-13B --merge NousResearch/Nous-Hermes-Llama2-13b --density 0.30 --merge Undi95/ReML-L2-13B-part1 --density 0.70 --cuda
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With that :
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- Recreate ReMM : MythoMax (v2) (Mythologic/Huginn v1)
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=> Replacing Mythologic by the one above (0.5)
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=> Replacing Huginn by The-Face-Of-Goonery/Huginn-13b-v1.2 (hottest) (0.5)
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Part 3: python ties_merge.py TheBloke/Llama-2-13B-fp16 ./ReMM-L2-13B --merge Undi95/ReML-L2-13B --density 0.50 --merge The-Face-Of-Goonery/Huginn-13b-v1.2 --density 0.50 --cuda
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```
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<!-- description start -->
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## Description
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This repo contains fp16 files of ReMM, a recreation of the original MythoMax, but updated.
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<!-- description end -->
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<!-- description start -->
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## Models used
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- TheBloke/Llama-2-13B-fp16 (base)
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- The-Face-Of-Goonery/Chronos-Beluga-v2-13bfp16
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- jondurbin/airoboros-l2-13b-2.1
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- NousResearch/Nous-Hermes-Llama2-13b
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- The-Face-Of-Goonery/Huginn-13b-v1.2
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- ReML-L2-13B (Private recreation trial of an updated Mythologic-L2-13B)
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<!-- description end -->
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<!-- prompt-template start -->
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## Prompt template: Alpaca
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```
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Below is an instruction that describes a task. Write a response that appropriately completes the request.
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### Instruction:
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{prompt}
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### Response:
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```
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Special thanks to Sushi kek
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Undi95__ReMM-L2-13B)
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| Metric | Value |
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|-----------------------|---------------------------|
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| Avg. | 52.58 |
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| ARC (25-shot) | 59.73 |
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| HellaSwag (10-shot) | 83.1 |
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| MMLU (5-shot) | 54.11 |
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| TruthfulQA (0-shot) | 49.94 |
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| Winogrande (5-shot) | 74.51 |
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| GSM8K (5-shot) | 2.96 |
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| DROP (3-shot) | 43.7 |
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