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README.md
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@@ -22,7 +22,7 @@ The idea was that Llama's censorship implies a deeper understanding of human emo
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Model adopted a task-oriented approach from CodeLlama Python and thus requires precise prompting. It can produce longer texts as well as shorter responses. It tends to avoid happy endings and instead surprises with open-ended scenarios inviting further interaction. It prefers spelling numbers over writing them down but YMMV.
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Demo uses:
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<img src=https://huggingface.co/altomek/CodeRosa-70B-AB1/resolve/main/CodeRosaTalk1.png>
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- [measurements](https://huggingface.co/altomek/measurements/resolve/main/CodeRosa-AB1_measurement.json) --> ExLlamav2 measurments
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### PS
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I welcome your comments about this model.
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Model adopted a task-oriented approach from CodeLlama Python and thus requires precise prompting. It can produce longer texts as well as shorter responses. It tends to avoid happy endings and instead surprises with open-ended scenarios inviting further interaction. It prefers spelling numbers over writing them down but YMMV.
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I created this model for personal exploration and found it to be highly successful; thus, I chose to share it with the community. I would like to make next iteration of this model in future. Mission is the same: very nice bot, able to talk about variety of topics in a very emetional way with some kick for programming and with ability to teach some things, beside all this to be good text summarizer ideally with Polish language as available option. This is a purpose. Did I succed with this merge? I have to experiment with below two models more. I like this result, love how it aproaches problems, this was iteration worth publishing even thought it is not much tested!
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Demo uses:
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<img src=https://huggingface.co/altomek/CodeRosa-70B-AB1/resolve/main/CodeRosaTalk1.png>
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- [measurements](https://huggingface.co/altomek/measurements/resolve/main/CodeRosa-AB1_measurement.json) --> ExLlamav2 measurments
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### PS
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I welcome your comments about this model.
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Made with CodeRosa-70B-AB1 :P
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