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Model: totally-not-an-llm/EverythingLM-13b-V3-16k Source: Original Platform
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README.md
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README.md
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license: llama2
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datasets:
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- totally-not-an-llm/EverythingLM-data-V3
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---
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# EverythingLM-13b-V3-16k
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Introducing EverythingLM, a llama-2 based, general-purpose 13b model with 16k context thanks to LlongMa. The model is trained on the EverythingLM-V3 dataset, more info can be found on the dataset page.
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The model is completely uncensored.
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Despite being "uncensored", the base model might be resistant; you might have to prompt-engineer certain prompts.
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### Quants (Thanks TheBloke!):
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https://huggingface.co/TheBloke/EverythingLM-13B-V3-16K-GGUF
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https://huggingface.co/TheBloke/EverythingLM-13B-V3-16K-GPTQ
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https://huggingface.co/TheBloke/EverythingLM-13B-V3-16K-AWQ
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### Notable features:
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- Automatically triggered CoT reasoning.
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- Verbose and detailed replies.
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- Creative stories.
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- Good prompt understanding.
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### Differences from V2:
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- Much more uncensored.
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- Actual roleplaying ability now!
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- General all around improvements thanks to the new dataset. Check out the dataset for more info.
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### Prompt format (Alpaca-chat):
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```
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USER: <prompt>
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ASSISTANT:
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```
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### Future plans:
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- Highest priority right now is V3.1 with more optimized training and iterative dataset improvements based on testing.
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### Note:
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Through testing V2, I realized some alignment data had leaked in, causing the model to be less cooperative then intended. This model should do much better due to stricter filetering.
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