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  This model was converted to GGUF format from [`bunnycore/Qwen2.5-7B-RRP-1M`](https://huggingface.co/bunnycore/Qwen2.5-7B-RRP-1M) 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/bunnycore/Qwen2.5-7B-RRP-1M) 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 [`bunnycore/Qwen2.5-7B-RRP-1M`](https://huggingface.co/bunnycore/Qwen2.5-7B-RRP-1M) 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/bunnycore/Qwen2.5-7B-RRP-1M) for more details on the model.
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+ ---
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+ Model details:
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+ -
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+ LoRA trained on a thinking/reasoning and roleplaying dataset and then
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+ merged with the Qwen2.5-7B-Instruct-1M model, which supports up to 1
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+ million token context lengths.
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+
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+ What this Model Can Do:
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+ -
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+ Roleplay: Engage in creative conversations and storytelling!
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+ Reasoning: Tackle problems and answer your questions in a logical way (thanks to the LoRA layer).
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+ Thinking: Use the tag in your system prompts to activate the model's thinking abilities.
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+
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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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