athirdpath_-_Llama-3.1-Instruct_NSFW-pretrained_e1-plus_reddit-gguf

Quantization made by Richard Erkhov.

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Llama-3.1-Instruct_NSFW-pretrained_e1-plus_reddit - GGUF

• Model creator: https://huggingface.co/athirdpath/
• Original model: https://huggingface.co/athirdpath/Llama-3.1-Instruct_NSFW-pretrained_e1-plus_reddit/

Original model description:

base_model: athirdpath/Llama-3.1-Instruct_NSFW-pretrained_e1 language:

• en license: apache-2.0 tags:
• text-generation-inference
• transformers
• unsloth
• llama
• trl
• sft

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athirdpath/Llama-3.1-Instruct_NSFW-pretrained_e1 further pretrained on 1 epoch of the dirty stories from nothingiisreal/Reddit-Dirty-And-WritingPrompts, with all scores below 2 dropped.

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Why do this? I have a niche use case where I cannot increase compute over 8b, and L3/3.1 are the only models in this size category that meet my needs for logic. However, both versions of L3/3.1 have the damn repetition/token overconfidence problem, and this is meant to disrupt that certainty without disrupting the model's ability to function.

By the way, I think it's the lm_head that is causing the looping, but it might be the embeddings being too separated. I'm not going to pay two more times to test them separately, however :p