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  This model was converted to GGUF format from [`allura-org/G2-9B-Aletheia-v1`](https://huggingface.co/allura-org/G2-9B-Aletheia-v1) 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/allura-org/G2-9B-Aletheia-v1) 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 [`allura-org/G2-9B-Aletheia-v1`](https://huggingface.co/allura-org/G2-9B-Aletheia-v1) 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/allura-org/G2-9B-Aletheia-v1) for more details on the model.
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+ ---
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+ Model details:
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+ -
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+ A merge of Sugarquill and Sunfall. I wanted to combine Sugarquill's more novel-like writing style with something that would improve it's RP perfomance and make it more steerable, w/o adding superfluous synthetic writing patterns.
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+
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+ I quite like Crestfall's Sunfall models and I felt like Gemma version of Sunfall will steer the model in this direction when merged in. To keep more of Gemma-2-9B-it-SPPO-iter3's smarts, I've decided to apply Sunfall LoRA on top of it, instead of using the published Sunfall model.
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+
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+ I'm generally pleased with the result, this model has nice, fresh writing style, good charcard adherence and good system prompt following. It still should work well for raw completion storywriting, as it's a trained feature in both merged models.
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+
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+ Made by Auri.
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+
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+ Thanks to Prodeus, Inflatebot and ShotMisser for testing and giving feedback.
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+
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+ Format
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+ Model responds to Gemma instruct formatting, exactly like it's base model.
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+
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+ <bos><start_of_turn>user
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+ {user message}<end_of_turn>
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+ <start_of_turn>model
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+ {response}<end_of_turn><eos>
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+
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+ Mergekit config
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+ The following YAML configuration was used to produce this model:
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+
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+ models:
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+ - model: allura-org/G2-9B-Sugarquill-v0
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+ parameters:
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+ weight: 0.55
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+ density: 0.4
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+ - model: UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3+AuriAetherwiing/sunfall-g2-lora
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+ parameters:
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+ weight: 0.45
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+ density: 0.3
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+ merge_method: ties
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+ base_model: UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
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+ parameters:
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+ normalize: true
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+ dtype: bfloat16
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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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