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  This model was converted to GGUF format from [`nbeerbower/Dumpling-Mistral-Nemo-8B`](https://huggingface.co/nbeerbower/Dumpling-Mistral-Nemo-8B) 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/nbeerbower/Dumpling-Mistral-Nemo-8B) 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 [`nbeerbower/Dumpling-Mistral-Nemo-8B`](https://huggingface.co/nbeerbower/Dumpling-Mistral-Nemo-8B) 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/nbeerbower/Dumpling-Mistral-Nemo-8B) for more details on the model.
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+ ---
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+ 🧪 Experimental
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+
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+ An attempt to recover intelligence with a quick train, results are meh
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+
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+ Dumpling-Mistral-Nemo-8B
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+
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+ nbeerbower/mistral-nemo-kartoffel-PRUNE3 finetuned on:
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+
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+ -nbeerbower/GreatFirewall-DPO
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+
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+ -nbeerbower/Schule-DPO
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+
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+ -nbeerbower/Purpura-DPO
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+
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+ -nbeerbower/Arkhaios-DPO
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+
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+ -jondurbin/truthy-dpo-v0.1
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+
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+ -antiven0m/physical-reasoning-dpo
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+
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+ -flammenai/Date-DPO-NoAsterisks
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+
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+ -flammenai/Prude-Phi3-DPO
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+
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+ -Atsunori/HelpSteer2-DPO (1,000 samples)
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+
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+ -jondurbin/gutenberg-dpo-v0.1
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+
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+ -nbeerbower/gutenberg2-dpo
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+
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+ -nbeerbower/gutenberg-moderne-dpo.
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+
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+ Method
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+ ---
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+ QLoRA ORPO tune with 2x RTX 3090 for 2 epochs.
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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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