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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-Argon-v1.0 |
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--- |
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# QuantFactory/ArliAI-Llama-3-8B-Argon-v1.0-GGUF |
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This is quantized version of [OwenArli/ArliAI-Llama-3-8B-Argon-v1.0](https://huggingface.co/OwenArli/ArliAI-Llama-3-8B-Argon-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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Experimental model trying to make Llama 3 8B better in general overall. Pretty difficult to do. |
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Base model: https://huggingface.co/failspy/Meta-Llama-3-8B-Instruct-abliterated-v3 |
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Training: |
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- 4096 sequence length |
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- Training duration is around 2 days on 2x3090Ti |
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- 1 epoch training with a massive dataset for minimized repetition sickness. |
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- LORA with 64-rank 128-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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``` |
