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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-Dolfin-v1.0 |
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--- |
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# QuantFactory/ArliAI-Llama-3-8B-Dolfin-v1.0-GGUF |
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This is quantized version of [OwenArli/ArliAI-Llama-3-8B-Dolfin-v1.0](https://huggingface.co/OwenArli/ArliAI-Llama-3-8B-Dolfin-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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Base model: https://huggingface.co/failspy/Meta-Llama-3-8B-Instruct-abliterated-v3 |
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SFT fine tune of Meta Llama 3 8B Instruct Abliterated v3 by Failspy using an improved Dolphin and WizardLM dataset intended to remove GPT-isms and make the model follow instructions more exactly while paying attention to details better. |
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Since it is based on the Abliterated version of Llama 3 8B Instruct it should naturally not refuse to answer in the first place and this fine tuning should make it comply even better. |
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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 2.5 days on an RTX 4090 |
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- 1 epoch training with a massive dataset for minimized repetition sickness. |
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- Using 4-bit loading and Qlora 64-rank 64-alpha resulting in ~2% trainable weights. |
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Llama 3 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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``` |
