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README.md

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+Quantization made by Richard Erkhov.
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+[Github](https://github.com/RichardErkhov)
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+[Discord](https://discord.gg/pvy7H8DZMG)
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+[Request more models](https://github.com/RichardErkhov/quant_request)
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+MFANN3bv0.4 - bnb 8bits
+- Model creator: https://huggingface.co/netcat420/
+- Original model: https://huggingface.co/netcat420/MFANN3bv0.4/
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+Original model description:
+---
+library_name: transformers
+license: apache-2.0
+datasets:
+- netcat420/MFANN
+pipeline_tag: text-classification
+---
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+BENCHMARKS: AVG: 62.97 ARC: 60.58 HellaSwag: 76.03 MMLU: 55.8 TruthfulQA: 52.64 Winogrande: 77.83 GSM8K: 55.72
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+3b variant of MFANNv0.5
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+fine-tuned on the MFANN dataset which is still a work in progress, and is a chain-of-thought experiment carried out by me and me alone.
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+![image/png](https://cdn-uploads.huggingface.co/production/uploads/6435f27b2d0ed796668ffd8b/xvpknNmGeS87OGHqt-EYe.png)
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