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Undi95/ReMM-L2-13B-PIPPA-GGUF
ReMM-L2-13B-PIPPA-GGUF is a machine learning model from Undi95. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as cc-by-nc-4.0.
Re:MythoMax-PIPPA (ReMM-PIPPA) is a recreation trial of the original MythoMax-L2-B13 with updated models and merge of the PIPPA dataset (PIPPA-ShareGPT-Subset-QLora-13b) at (0.18) weight.
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From the Hugging Face model README
Re:MythoMax-PIPPA (ReMM-PIPPA) is a recreation trial of the original MythoMax-L2-B13 with updated models and merge of the PIPPA dataset (PIPPA-ShareGPT-Subset-QLora-13b) at (0.18) weight.
Command useds and explaination :
Due to hardware limitation, some merge was done in 2 part.
- Recreate ReML : Mythologic (v2) (Chronos/Hermes/Airboros)
=> Replacing Chronos by The-Face-Of-Goonery/Chronos-Beluga-v2-13bfp16 (0.30)
=> Replacing Airoboros by jondurbin/airoboros-l2-13b-2.1 (last version) (0.40)
=> Keeping NousResearch/Nous-Hermes-Llama2-13b (0.30)
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
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
With that :
- Recreate ReMM : MythoMax (v2) (Mythologic/Huginn v1)
=> Replacing Mythologic by the one above (0.5)
=> Replacing Huginn by The-Face-Of-Goonery/Huginn-13b-v1.2 (hottest) (0.5)
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
Part 4: Undi95/ReMM-L2-13B (0.82) + zarakiquemparte/PIPPA-ShareGPT-Subset-QLora-13b (0.18) = ReMM-L2-13B-PIPPA
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This repo contains quantized files (Q4_K_S and Q5_K_M) of ReMM-PIPPA, a recreation of the original MythoMax, but updated and merged with the PIPPA dataset.
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### Instruction:
{prompt}
### Response:
Special thanks to Sushi kek