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It's one of those models that implements a Llama architecture but renames everything so it isn't compatible with existing frameworks. There are a number of "llamafied" versions on HF that you can use here including EXL2 quants.
I will add support for the naming scheme they use at some point, but I'm not yet sure if they're sticking with the scheme going forward.
Problem
LG AI Research has released new EXAONE 3.5 models in sizes 2.4B, 7.8B, and 32B:
https://huggingface.co/LGAI-EXAONE/EXAONE-3.5-2.4B-Instruct
https://huggingface.co/LGAI-EXAONE/EXAONE-3.5-7.8B-Instruct
https://huggingface.co/LGAI-EXAONE/EXAONE-3.5-32B-Instruct
Unfortunately, exllamav2 does not currently support these models:
Solution
Could you please consider adding support for these models?
Alternatives
No response
Explanation
Examples
No response
Additional context
No response
Acknowledgements
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