Thanks for sharing! cc @axolotl_ai I don't know if it was done on purpose, but it looks like the Doctor-Shotgun/C2-Stheno dataset is private.
@maximelabonne
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Gary Marcus AI Research Ethics: Credit Attribution in Academia
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You either die a hero, or you live long enough to see your graph in Gary Marcus' presentation (with your name cropped out of the figure). Here's the link to the @MLStreetTalk if you're interested: https://
youtube.com/watch?v=91SK90
SahHc
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Abliterating Models Without LoRA Adapters Techniques
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You'd need to abliterate it without LoRA adapters like in this notebook:
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LazyMergekit: Merge AI Models with Commands and Config
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You can do it with LazyMergekit. I've added all the commands and the config I've used.
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Removing AI Censorship: Standardized System Prompt Approaches
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That's what I thought but I didn't manage to remove the censorship. Is there a standardized system prompt I should use for that?
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GGUF Quantizations Ready for Hermes-3-Llama Model Testing
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GGUF quants are also ready if you want to test the model. @bartowski1182 already made fancy imatrix ones. Love the new model tree on @huggingface
! (cc @victormustar @julien_c
) GGUF: https://
huggingface.co/mlabonne/Herme
s-3-Llama-3.1-8B-lorablated-GGUF
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Open-Source AI Models and Abliteration Techniques Explained
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Of course, special thanks to @NousResearch and @teknium for these high-quality models. Thanks to grimjim and @failspy for the abliteration techniques that were used here. You can learn more about it in my article:
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Hermes 3 LoRA-Ablated Uncensored Model Release
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A fully uncensored Hermes 3 with lorablation! The lorablated model directly answers questions without any tweaking. Here's how it was made: 1/ Create a LoRA adapter based on Llama 3.1 8B Instruct and my abliterated version. 2/ Apply it to Hermes 3 from @NousResearch using
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MergeKit and PruneMe: Essential Tools for Model Optimization
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No, I would recommend libraries like MergeKit or PruneMe (
https://
github.com/arcee-ai/Prune
Me
…) from @arcee_ai for pruning. -
Live Fine-Tuning Models Session with DataCamp and Google Colab
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If you want to start fine-tuning models, I'll do a live session on August 27 with @DataCamp using @GoogleColab
!