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  This model was converted to GGUF format from [`rombodawg/Rombos-Coder-V2.5-Qwen-14b`](https://huggingface.co/rombodawg/Rombos-Coder-V2.5-Qwen-14b) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
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  Refer to the [original model card](https://huggingface.co/rombodawg/Rombos-Coder-V2.5-Qwen-14b) for more details on the model.
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  ## Use with llama.cpp
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  Install llama.cpp through brew (works on Mac and Linux)
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  This model was converted to GGUF format from [`rombodawg/Rombos-Coder-V2.5-Qwen-14b`](https://huggingface.co/rombodawg/Rombos-Coder-V2.5-Qwen-14b) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
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  Refer to the [original model card](https://huggingface.co/rombodawg/Rombos-Coder-V2.5-Qwen-14b) for more details on the model.
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+ ---
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+ Model details:
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+ -
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+ Rombos-Coder-V2.5-Qwen-14b is a continues finetuned version of Qwen2.5-Coder-14B-Instruct. I took it upon myself to merge the instruct model with the base model myself using the Ties merge method as demonstrated in my own "Continuous Finetuning" method (Linked bellow).
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+ https://docs.google.com/document/d/1OjbjU5AOz4Ftn9xHQrX3oFQGhQ6RDUuXQipnQ9gn6tU/edit?usp=sharing
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+ This version of the model shows higher performance than the original instruct and base models.
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+ ---
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  ## Use with llama.cpp
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  Install llama.cpp through brew (works on Mac and Linux)
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