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--- |
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license: apache-2.0 |
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datasets: |
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- AuriAetherwiing/Allura |
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- kalomaze/Opus_Instruct_25k |
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base_model: |
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- AuriAetherwiing/Yi-1.5-9B-32K-tokfix |
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--- |
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[](https://hf.co/QuantFactory) |
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# QuantFactory/EVA-Yi-1.5-9B-32K-V1-GGUF |
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This is quantized version of [EVA-UNIT-01/EVA-Yi-1.5-9B-32K-V1](https://huggingface.co/EVA-UNIT-01/EVA-Yi-1.5-9B-32K-V1) created using llama.cpp |
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# Original Model Card |
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**EVA Yi 1.5 9B v1** |
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<p> |
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A RP/storywriting focused model, full-parameter finetune of Yi-1.5-9B-32K on mixture of synthetic and natural data.<br> |
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A continuation of nothingiisreal's Celeste 1.x series, made to improve stability and versatility, without losing unique, diverse writing style of Celeste. |
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</p> |
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<p> |
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<h3>Quants: (GGUF is not recommended, lcpp breaks tokenizer fix)</h3> |
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<ul> |
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<li><a href=https://huggingface.co/bartowski/EVA-Yi-1.5-9B-32K-V1-GGUF>IMatrix GGUF by bartowski</a></li> |
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<li><a href=https://huggingface.co/mradermacher/EVA-Yi-1.5-9B-32K-V1-GGUF>Static GGUF by Mradermacher</a></li> |
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<li><a href=https://huggingface.co/bartowski/EVA-Yi-1.5-9B-32K-V1-exl2>EXL2 by bartowski</a></li> |
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</ul> |
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We recommend using original BFloat16 weights, quantization seems to affect Yi significantly more than other model architectures. |
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</p> |
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Prompt format is ChatML.<br> |
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<h3>Recommended sampler values:</h3> |
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- Temperature: 1 |
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- Min-P: 0.05 |
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<h3>Recommended SillyTavern presets (via CalamitousFelicitousness):</h3> |
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- [Context](https://huggingface.co/EVA-UNIT-01/EVA-Yi-1.5-9B-32K-V1/blob/main/%5BChatML%5D%20Roleplay-v1.9%20Context.json) |
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- [Instruct and System Prompt](https://huggingface.co/EVA-UNIT-01/EVA-Yi-1.5-9B-32K-V1/blob/main/%5BChatML%5D%20Roleplay-v1.9%20Instruct.json) |
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</p> |
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<p> |
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<br> |
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<h3> |
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Training data: |
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</h3> |
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<ul> |
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<li>Celeste 70B 0.1 data mixture minus Opus Instruct subset. See that model's <a href=https://huggingface.co/nothingiisreal/L3.1-70B-Celeste-V0.1-BF16>card</a> for details.</li> |
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<li>Kalomaze's Opus_Instruct_25k dataset, filtered for refusals.</li></ul> |
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<h3> |
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Hardware used: |
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</h3> |
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<ul><li>4x3090Ti for 5 days.</li></ul><br> |
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</p> |
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Model was trained by Kearm and Auri. |
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<h4>Special thanks:</h4><ul> |
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<li>to Lemmy, Gryphe, Kalomaze and Nopm for the data</li> |
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<li>to ALK, Fizz and CalamitousFelicitousness for Yi tokenizer fix</li> |
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<li>and to InfermaticAI's community for their continued support for our endeavors</li></ul> |
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