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  This model was converted to GGUF format from [`rombodawg/Rombos-LLM-V2.6-Qwen-14b`](https://huggingface.co/rombodawg/Rombos-LLM-V2.6-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-LLM-V2.6-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-LLM-V2.6-Qwen-14b`](https://huggingface.co/rombodawg/Rombos-LLM-V2.6-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-LLM-V2.6-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-LLM-V2.5-Qwen-7b is a continues finetuned version of Qwen2.5-7B. I noticed recently that the Qwen team did not learn from my methods of continuous finetuning, the great benefits, and no downsides of it. So I took it upon myself to merge the instruct model with the base model myself using the Ties merge method
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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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