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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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This merge use SLERP [TESTING] to merge ReML and Huginn v1.2. |
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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 slerpmergelm.py "The-Face-Of-Goonery_Huginn-13b-v1.2" "Undi95_ReML-L2-13B" "result" |
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``` |
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Version of SLERP used is different to accept usage on notebook : https://github.com/Undi95/LLM-SLERP-MergeTest/tree/main (Thanks @Vali) |
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<!-- description start --> |
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## Description |
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This repo contains fp16 files of ReMM-SLERP, a recreation of the original MythoMax, but updated and merged with SLERP. |
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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-SLERP-L2-13B) |
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| Metric | Value | |
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|-----------------------|---------------------------| |
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| Avg. | 50.99 | |
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| ARC (25-shot) | 60.92 | |
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| HellaSwag (10-shot) | 83.56 | |
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| MMLU (5-shot) | 55.33 | |
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| TruthfulQA (0-shot) | 51.97 | |
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| Winogrande (5-shot) | 75.22 | |
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| GSM8K (5-shot) | 9.17 | |
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| DROP (3-shot) | 20.76 | |
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