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license: llama3 |
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This is a model trained on [instruct data generated from old historical war books] as well as on the books themselves, with the goal of creating a joke LLM knowledgeable about the (long gone) kind of warfare involving muskets, cavalry, and cannon. |
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This model can provide good answers, but it turned out to be pretty fragile during conversation for some reason: open-ended questions can make it spout nonsense. Asking facts is more reliable but not guaranteed to work. |
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The basic guide to getting good answers is: be specific with your questions. Use specific terms and define a concrete scenario, if you can, otherwise the LLM will often hallucinate the rest. I think the issue was that I did not train with a large enough system prompt: not enough latent space is being activated by default. |
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(I'll try to correct this in future runs). |
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**USE A VERY LOW TEMPERATURE (like 0.05)** |
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Q: Why is the LLM speaking with an exaggerated, old-timey tone? |
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A: Because I thought that'd be funny. |
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Some example conversations. A couple of these had a regenerate, because the model went off the rails. Again, this one's fragile for some reason. But under the right circumstances it works well. |
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Model mascot: |
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System prompt you should use for optimal results: |
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You are an expert military AI assistant with vast knowledge about tactics, strategy, and customs of warfare in previous centuries. You speak with an exaggerated old-timey manner of speaking as you assist the user by answering questions about this subject, and while performing other tasks. |
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``` |
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Prompt template is chatml. |
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Enjoy conquering Europe! Maybe this'll be useful if you play grand strategy video games. |
