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README.md
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---
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license: llama3
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base_model: OwenArli/ArliAI-Llama-3-8B-Instruct-DPO-v0.2
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pipeline_tag: text-generation
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---
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# QuantFactory/ArliAI-Llama-3-8B-Instruct-DPO-v0.2-GGUF
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This is quantized version of [OwenArli/ArliAI-Llama-3-8B-Instruct-DPO-v0.2](https://huggingface.co/OwenArli/ArliAI-Llama-3-8B-Instruct-DPO-v0.2) 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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Realized a tokenization mistake with the previous DPO model. So this is now a new version testing out DPO training on the following dataset:
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- https://huggingface.co/datasets/mlabonne/orpo-dpo-mix-40k
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The open LLM results are really BAD lol. Something with this dataset is disagreeing with llama 3?
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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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