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--- |
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datasets: |
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- Open-Orca/SlimOrca-Dedup |
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- jondurbin/airoboros-3.2 |
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license: other |
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license_name: gemma-terms-of-use |
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license_link: https://ai.google.dev/gemma/terms |
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--- |
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## These are GGUF quants of [Sappha-2b-v3](https://huggingface.co/Fizzarolli/sappha-2b-v3). The original model card is below: |
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# sappha-2b-v3 |
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a slightly less experimental qlora instruct finetune of the gemma-2b base model. trained with unsloth. |
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## benchmarks |
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| | gemma-2b-it | sappha-2b-v3 | dolphin-2.8-gemma-2b | |
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| ---------------------- | ----------- | ------------ | -------------------- | |
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| MMLU (five-shot) | 36.98 | **38.02** | 37.89 | |
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| HellaSwag (zero-shot) | 49.22 | **51.70** | 47.79 | |
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| PIQA (one-shot) | 75.08 | **75.46** | 71.16 | |
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| TruthfulQA (zero-shot) | **37.51** | 31.65 | 37.15 | |
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## prompt format |
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basic chatml: |
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``` |
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<|im_start|>system |
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You are a useful and helpful AI assistant.<|im_end|> |
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<|im_start|>user |
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what are LLMs?<|im_end|> |
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<|im_start|>assistant |
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LLMs, or Large Language Models, are advanced artificial intelligence systems that can perform tasks similar to human language. They are trained on vast amounts of data and can understand and respond to human queries. LLMs are often used in various applications, such as language translation, text generation, and question answering.<|im_end|> |
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``` |
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## quants |
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gguf: https://huggingface.co/Fizzarolli/sappha-2b-v3-GGUF |
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## what happened to v2? |
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it was a private failure :) |