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async0x42/MN-12B-Lyra-v4-exl2_8bpw
MN-12B-Lyra-v4-exl2_8bpw is a machine learning model from async0x42. 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.
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From the Hugging Face model README

Mistral-NeMo-12B-Lyra-v4, a variation of Lyra-v4a1, layered over Lyra-v3, which was built on top of Lyra-v2a2, which itself was built upon Lyra-v2a1.
[See Previous Models]
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Lyra-v4a1
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------------> Lyra-v4 [Seperate RL Step targeting Instruct and Coherency over Base Nemo instead of SFT First, Result is Merged with Lyra-v4a1, fixes most quant-based issues. Somehow.]
<|im_start|>system
This is the system prompt.<|im_end|>
<|im_start|>user
Instructions placed here.<|im_end|>
<|im_start|>assistant
The model's response will be here.<|im_end|>
--------------------------------------------------
[INST]system
This is another system prompt.[/INST]
[INST]user
Your instructions placed here.[/INST]
[INST]assistant
The model's response will be here.[/INST]
Temperature: 0.6 - 1 # Make sure min_p is set before Temperature in Sampler Orders
min_p: 0.1 - 0.2 # Crucial for NeMo
<|im_end|>
</s>
[/INST]
- I think I fixed the extra token stuff some users seem to be facing, while retaining everything else? It's some error alright. <br>- If you're using XML tags, you may see weird malformed stopping strings. Just add them to your current list. and move on. <br>- Its pretty nice, imo. I've been messing around with it a lot. <br>- Make sure the ChatML template is correct, I think there's some issues with the one used in SillyTavern which might cause improper replies?