Instructions to use hikikomoriHaven/llama3-8b-hikikomori-v0.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hikikomoriHaven/llama3-8b-hikikomori-v0.2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hikikomoriHaven/llama3-8b-hikikomori-v0.2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
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README.md
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license: llama3
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datasets:
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- unalignment/toxic-dpo-v0.2
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language:
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- en
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---
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<!-- Provide a longer summary of what this model is. -->
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The model is highly uncensored + suitable for roleplay
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## Credits:
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(For open sourcing tools + methodology to assist with fine tuning)
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- Unisloth
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- NurtureAI
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(For open sourcing data to be used for fine tuning)
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- NobodyExistsOnTheInternet
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- unalignment
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license: llama3
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datasets:
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- unalignment/toxic-dpo-v0.2
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- NobodyExistsOnTheInternet/ToxicQAFinal
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language:
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- en
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---
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<!-- Provide a longer summary of what this model is. -->
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The model is highly uncensored + suitable for roleplay
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## About Us
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Building - AI Waifu Supremacy
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[X](https://twitter.com/hikikomorihaven)
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[Discord](discord.gg/QS27Ka3cnq)
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## Credits:
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(For open sourcing tools + methodology to assist with fine tuning)
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- Unisloth
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- NurtureAI
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(For open sourcing data to be used for fine tuning)
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- NobodyExistsOnTheInternet
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- unalignment
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