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README.md
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---
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license: llama3
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pipeline_tag: text-generation
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base_model: OwenArli/ArliAI-Llama-3-8B-Cumulus-v1.0
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---
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# QuantFactory/ArliAI-Llama-3-8B-Cumulus-v1.0-GGUF
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This is quantized version of [OwenArli/ArliAI-Llama-3-8B-Cumulus-v1.0](https://huggingface.co/OwenArli/ArliAI-Llama-3-8B-Cumulus-v1.0) created using llama.cpp
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# Model Description
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Based on Meta-Llama-3-8b-Instruct, and is governed by Meta Llama 3 License agreement:
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https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct
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This is release v1.0 of Awanllm Cumulus series of models that aim to be uncensored and have zero refusals and zero warnings.
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This model should be good for general use cases as the OG Llama 3 8B model but it should be especially better for story writing or RP use cases.
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It is the most uncensored yet, thanks to using https://huggingface.co/failspy/Meta-Llama-3-8B-Instruct-abliterated-v3 as the base model.
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In terms of reasoning and intelligence, this model is probably a bit worse than the OG Meta Llama 3 8B Instruct because of the decensoring. However we believe it is worth it for the decensoring, as even with jailbreak prompts Llama 3 8B Instruct will never get remotely close to this model.
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Best practices:
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- Be precise and explain what you want the model to do. It has less base "personality" than the OG model but it will act however you tell it to.
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- This model works best with system prompts that tells it that it is the character, instead of telling it to act as a character.
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Training:
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- Full 8192 sequence length.
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- Training duration is around 4 days on an RTX 4090, using 4-bit loading and Qlora 64-rank 64-alpha resulting in ~2% trainable weights.
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Instruct format:
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```
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<|begin_of_text|><|start_header_id|>system<|end_header_id|>
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{{ system_prompt }}<|eot_id|><|start_header_id|>user<|end_header_id|>
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{{ user_message_1 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
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{{ model_answer_1 }}<|eot_id|><|start_header_id|>user<|end_header_id|>
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{{ user_message_2 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
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```
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