crestf411/MN-Slush
Text Generation
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Chris
WesPro
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new activity
10 days ago
OpenBuddy/openbuddy-qwen2.5coder-32b-v24.1q-200k:German example translation
new activity
10 days ago
thhaus/nemotron4-15b-base-hf:Where is the model from?
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18 days ago
ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.3-GGUF:Cannot use in SillyTavern
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German example translation
#1 opened 10 days ago
by
WesPro
Where is the model from?
1
#1 opened 15 days ago
by
ethanc8
Cannot use in SillyTavern
8
#1 opened 19 days ago
by
isr431
Best Mistral-Nemo 12B Finetune
4
#1 opened about 1 month ago
by
WesPro
liked
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model
about 1 month ago
question
9
#1 opened 2 months ago
by
WesPro
Question
2
#1 opened 2 months ago
by
WesPro
Eidolon-v2.1-14B
13
#379 opened 2 months ago
by
WesPro
Impressive as always. Qwen2.5 32B?
6
#1 opened 2 months ago
by
MRGRD56
updated
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model
4 months ago
updated
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model
5 months ago
liked
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dataset
6 months ago
ValueError: Can not map tensor 'model.layers.0.mlp.down_proj.weight.absmax'
4
#1 opened 6 months ago
by
kowal66b
liked
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6 months ago
liked
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dataset
6 months ago
reacted to
nicolay-r's
post with š
6 months ago
Post
2442
š¢ Suprisingly, there are so many works on imputing personalities in LLM and vice versa. However, there is a gap in literature novels š for mining that personalities from book itself. With that I am happy to release worflow that š„ solely š„ relies on book content only š for personalities extraction:
https://github.com/nicolay-r/book-persona-retriever
š” The downstream goal of this workflow is to enhance charactes understanding ... and not just through their mentions in books, but through their personalities (ā retrieved with the given lexicon from the š itself)
The most closest studies such as PERSONA-CHAT (arXiv:1801.07243v5), BookEmbeddingEval (2022.findings-acl.81.pdf), ALOHA-Chatbot ( arXiv:1910.08293v4), Meet your favorite Character (arXiv:2204.10825), and PRODIGy (arXiv:2311.05195v1) were so valuable š ! š
Curious on existance of the fine-tuned LLM for detecting personalities in text passages on huggingface hub š¤ If you aware about the one coud be potentially embedded into system for further advances, please feel free to recomend š
https://github.com/nicolay-r/book-persona-retriever
š” The downstream goal of this workflow is to enhance charactes understanding ... and not just through their mentions in books, but through their personalities (ā retrieved with the given lexicon from the š itself)
The most closest studies such as PERSONA-CHAT (arXiv:1801.07243v5), BookEmbeddingEval (2022.findings-acl.81.pdf), ALOHA-Chatbot ( arXiv:1910.08293v4), Meet your favorite Character (arXiv:2204.10825), and PRODIGy (arXiv:2311.05195v1) were so valuable š ! š
Curious on existance of the fine-tuned LLM for detecting personalities in text passages on huggingface hub š¤ If you aware about the one coud be potentially embedded into system for further advances, please feel free to recomend š
