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license: apache-2.0 |
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# Model Card for Ostrich |
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**Finetuned from model:** [Llama3-70B](https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct) |
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# Pre Trained With |
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- Nostr notes: This makes the model know more about bitcoin and other topics discussed on Nostr. |
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- Health related topics |
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- Faith related topics |
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- Nutrition related topics |
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- Medicinal herbs |
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**Aligned a bit in these domains:** |
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- Alternative medicine |
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- Permaculture |
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- Phytochemicals |
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# Uses |
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You can read more about the "LLM curation" via fine tuning with Nostr notes: |
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[here](https://habla.news/a/naddr1qvzqqqr4gupzp8lvwt2hnw42wu40nec7vw949ys4wgdvums0svs8yhktl8mhlpd3qqgx6cnjvfhhzet20pkhqdn2wenkvu6gy4y) and |
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[here](https://habla.news/a/naddr1qvzqqqr4gupzp8lvwt2hnw42wu40nec7vw949ys4wgdvums0svs8yhktl8mhlpd3qqxnzde3xumrswfjx56rjwf4kkqhsx). |
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Compared to other models this may know more about Nostr, Bitcoin and healthy living. |
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Closer aligment to opinions of people on Nostr. It may have alternative ideas to mainstream because of Nostr and my own curation. |
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So it is basically somewhere in between base llama 3.0 plus Nostr plus my values. |
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I am using the model here as a ground truth for Nostr related questions: https://wikifreedia.xyz/based-llm-leaderboard/npub1nlk894teh248w2heuu0x8z6jjg2hyxkwdc8cxgrjtm9lnamlskcsghjm9c |
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Use repeat penalty of 1.05 or more to avoid repetitions. |
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I hope you like it. Let me know about your experience. You can DM me on Nostr. |
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The number in the filenames (like 21345) means the version. I take the training steps and add those as the version. Each source, book, note adds to the version. |
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# Warning |
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Users (both direct and downstream) should be aware of the risks, biases and limitations of the model. |
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The trainer, developer or uploader of this model does not assume any liability. Use it at your own risk. |
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There is no guarantee that the model will be of any use. It may hallucinate often. |
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# Training Details |
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## Training Data |
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The sources mentioned above are converted to TXT files and used as pre training. No PPO, DPO or other method of fine tuning. |
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## Training Procedure |
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LLaMa-Factory is used to train on 2* RTX 3090! fsdp_qlora is the technique. |
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