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  <img src="./llama-3-merges.webp" alt="Llama-3 DPO Logo" width="500" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
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- # Llama-3-8B-Instruct-DPO-v0.3 (32k)
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- This model is a fine-tune (DPO) of `meta-llama/Meta-Llama-3-8B-Instruct` model. I have used `rope_theta` to extend the context length up to 32K safely.
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  # Quantized GGUF
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- All GGUF models come with context length of `32000`: [Llama-3-8B-Instruct-DPO-v0.3-32k-GGUF](https://huggingface.co/MaziyarPanahi/Llama-3-8B-Instruct-DPO-v0.3-32k-GGUF)
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  # Prompt Template
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  # How to use
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- You can use this model by using `MaziyarPanahi/Llama-3-8B-Instruct-DPO-v0.3` as the model name in Hugging Face's
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  transformers library.
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  ```python
 
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  <img src="./llama-3-merges.webp" alt="Llama-3 DPO Logo" width="500" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
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+ # MaziyarPanahi/Llama-3-70B-Instruct-DPO-v0.1
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+ This model is a fine-tune (DPO) of `meta-llama/Meta-Llama-3-70B-Instruct` model.
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  # Quantized GGUF
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+ All GGUF models are available here: [MaziyarPanahi/Llama-3-70B-Instruct-DPO-v0.1-GGUF](https://huggingface.co/MaziyarPanahi/Llama-3-70B-Instruct-DPO-v0.1-GGUF)
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  # Prompt Template
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  # How to use
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+ You can use this model by using `MaziyarPanahi/Llama-3-70B-Instruct-DPO-v0.1` as the model name in Hugging Face's
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  transformers library.
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  ```python