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This model was converted to GGUF format from [`LatitudeGames/Harbinger-24B`](https://huggingface.co/LatitudeGames/Harbinger-24B) 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/LatitudeGames/Harbinger-24B) 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 [`LatitudeGames/Harbinger-24B`](https://huggingface.co/LatitudeGames/Harbinger-24B) 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/LatitudeGames/Harbinger-24B) for more details on the model.
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Like our Wayfarer line of finetunes, Harbinger-24B was designed for immersive adventures and other stories where consequences feel real and every decision matters. Training focused on enhancing instruction following, improving mid-sequence continuation, and strengthening narrative coherence over long sequences of outputs without user intervention. The same DPO (direct preference optimization) techniques used in our Muse model were applied to Harbinger, resulting in polished outputs with fewer clichés, repetitive patterns, and other common artifacts.
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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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