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license: other |
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- en |
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base_model: |
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- Nitral-AI/Sekhmet_Bet-L3.1-8B-v0.2 |
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[NitralAI's measurement.json](https://huggingface.co/Nitral-AI/Sekhmet_Bet-L3.1-8B-v0.2-5bpw-exl2/blob/main/measurement.json) was used for quantization |
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## **Sekhmet_Bet-L3.1-8B-v0.2** |
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[exllamav2](https://github.com/turboderp/exllamav2) quant for [Nitral-AI/Sekhmet_Bet-L3.1-8B-v0.2](https://huggingface.co/Nitral-AI/Sekhmet_Bet-L3.1-8B-v0.2) |
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**Original model information:** |
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# Sekhmet_Bet [v-0.2] - Designed to provide robust solutions to complex problems while offering support and insightful guidance. |
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# GGUF Quant's available thanks to: Reiterate3680 <3 [GGUF Here](https://huggingface.co/Reiterate3680/Sekhmet_Bet-L3.1-8B-v0.2-GGUF) |
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# EXL2 Quant: [5bpw Exl2 Here](https://huggingface.co/Nitral-AI/Sekhmet_Bet-L3.1-8B-v0.2-5bpw-exl2) |
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# Recomended ST Presets: [Sekhmet Presets(Same as Hathor's)](https://huggingface.co/Nitral-AI/Hathor_Presets/tree/main) |
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# Training Note: Sekhmet_Bet [v0.2] is trained on: 1 epoch of Private - Hathor_0.85 Instructions, small subset of creative writing data, roleplaying chat pairs over Sekhmet_Aleph-L3.1-8B-v0.1 |
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# Additional Note's: This model was quickly assembled to provide users with a relatively uncensored alternative to L3.1 Instruct, featuring extended context capabilities. (As I will soon be on a short hiatus) The learning rate for this model was set rather low. Therefore, I do not expect it to match the performance levels demonstrated by Hathor versions 0.5, 0.85, or 1.0. |
