Triangle104
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README.md
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This model was converted to GGUF format from [`ProdeusUnity/Prismatic-12b`](https://huggingface.co/ProdeusUnity/Prismatic-12b) 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/ProdeusUnity/Prismatic-12b) 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 [`ProdeusUnity/Prismatic-12b`](https://huggingface.co/ProdeusUnity/Prismatic-12b) 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/ProdeusUnity/Prismatic-12b) for more details on the model.
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---
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Model details:
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The sparkling courage I longed for, what I got is small... My tears are surely the prism of tomorrow... Say "Hello!" to the ideal future, let's go see them~
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Listen to the song on youtube: https://www.youtube.com/watch?v=v3I6EVlyPx4
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One off merge for a friend, though it came out rather good, I like it, so try it?
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mistralai/Mistral-Nemo-Base-2407 inflatebot/MN-12b-Mag-Mell-R1 nbeerbower/Mistral-Nemo-Prism-12B-v5
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License for this model Apache 2.0
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Format: Mistral Tekken or ChatML
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Thank you to AuriAetherwiing for helping me merge the models and for providing compute (A40).
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Details
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This is a merge of pre-trained language models created using mergekit.
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Merge Details
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Merge Method
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This model was merged using the ties merge method using mistralai_Mistral-Nemo-Base-2407 as a base.
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Models Merged
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Models Merged The following models were included in the merge:
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/inflatebot_MN-12B-Mag-Mell-R1 /nbeerbower_Mistral-Nemo-Prism-12B-v5
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Configuration
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The following YAML configuration was used to produce this model:
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models:
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model: /inflatebot_MN-12B-Mag-Mell-R1 parameters: weight: 0.3 density: 0.5
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model: /nbeerbower_Mistral-Nemo-Prism-12B-v5 parameters: weight: 0.4 density: 0.75 base_model: /mistralai_Mistral-Nemo-Base-2407 parameters: epsilon: 0.05 normalize: true lambda: 1 merge_method: ties dtype: bfloat16
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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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