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This model was converted to GGUF format from [`EVA-UNIT-01/EVA-Qwen2.5-7B-v0.1`](https://huggingface.co/EVA-UNIT-01/EVA-Qwen2.5-7B-v0.1) 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/EVA-UNIT-01/EVA-Qwen2.5-7B-v0.1) for more details on the model.
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---
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Model details:
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A RP/storywriting
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specialist model, full-parameter finetune of Qwen2.5-7B on mixture of
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synthetic and natural data.
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It uses Celeste 70B
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0.1 data mixture, greatly expanding it to improve
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p { line-height: 115%; margin-bottom: 0.25cm; background: transparent }
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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 [`EVA-UNIT-01/EVA-Qwen2.5-7B-v0.1`](https://huggingface.co/EVA-UNIT-01/EVA-Qwen2.5-7B-v0.1) 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/EVA-UNIT-01/EVA-Qwen2.5-7B-v0.1) for more details on the model.
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---
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Model details:
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A RP/storywriting
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specialist model, full-parameter finetune of Qwen2.5-7B on mixture of
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synthetic and natural data.
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It uses Celeste 70B
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0.1 data mixture, greatly expanding it to improve
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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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