crestf411/MN-Slush
Text Generation
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Chris
WesPro
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6 days ago
OpenBuddy/openbuddy-qwen2.5coder-32b-v24.1q-200k:German example translation
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6 days ago
thhaus/nemotron4-15b-base-hf:Where is the model from?
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14 days ago
ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.3-GGUF:Cannot use in SillyTavern
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German example translation
#1 opened 6 days ago
by
WesPro
Where is the model from?
1
#1 opened 11 days ago
by
ethanc8
Cannot use in SillyTavern
7
#1 opened 15 days ago
by
isr431
Best Mistral-Nemo 12B Finetune
4
#1 opened 27 days ago
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WesPro
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27 days ago
question
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#1 opened 2 months ago
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WesPro
Question
2
#1 opened about 2 months ago
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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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4 months ago
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5 months ago
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6 months ago
ValueError: Can not map tensor 'model.layers.0.mlp.down_proj.weight.absmax'
4
#1 opened 6 months ago
by
kowal66b
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6 months ago
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6 months ago
reacted to
nicolay-r's
post with š
6 months ago
Post
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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
