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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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Model details:
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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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What this Model Can Do:
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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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## Use with llama.cpp
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Install llama.cpp through brew (works on Mac and Linux)
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