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license: apache-2.0
---

![Ostrich-70B](https://primal.b-cdn.net/media-cache?s=o&a=1&u=https%3A%2F%2Fm.primal.net%2FHyFP.png)

# Model Card for Ostrich

**Finetuned from model:** [Llama3-70B](https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct)

# Fine Tuned With

**Nostr notes**: 

This fine tuning makes the model know more about bitcoin and topics on Nostr. 

You can read more about the "LLM curation" via fine tuning with Nostr notes:
[here](https://habla.news/a/naddr1qvzqqqr4gupzp8lvwt2hnw42wu40nec7vw949ys4wgdvums0svs8yhktl8mhlpd3qqgx6cnjvfhhzet20pkhqdn2wenkvu6gy4y) and 
[here](https://habla.news/a/naddr1qvzqqqr4gupzp8lvwt2hnw42wu40nec7vw949ys4wgdvums0svs8yhktl8mhlpd3qqxnzde3xumrswfjx56rjwf4kkqhsx).

**Fine tuned in faith related topics**

**Aligned a bit in these domains:**
- Health
- Nutrition
- Alternative medicine
- Herbs
- Permaculture
- Phytochemicals

More to come around these topics.


# Uses

Compared to other models this may know more about Nostr and Bitcoin. It is aligned with opinions of people on Nostr. It may have alternative ideas to mainstream because Nostr is very censorship resistant. 

You can use llama.cpp to use the GGUF file.

Use repeat penalty of 1.05 or more to avoid repetitions.

I am using the model here as a ground truth for Nostr related questions: https://wikifreedia.xyz/based-llm-leaderboard/npub1nlk894teh248w2heuu0x8z6jjg2hyxkwdc8cxgrjtm9lnamlskcsghjm9c


# Warning

Users (both direct and downstream) should be aware of the risks, biases and limitations of the model.
The trainer, developer or uploader of this model does not assume any liability. Use it at your own risk.

# Training Details

## Training Data

Nostr related info from web and nostr itself, bitcoin related info.
Information that aligns well with humanity is preferred.
About 80% comes from Nostr notes. The rest is my own curation.

## Training Procedure

LLaMa-Factory is used to train on 2* RTX 3090! fsdp_qlora is the technique. 

The Nostr training took more than 200 hours.

After training it for a while with notes, I used it to analyze and decide what notes to take in further for training. 

The number in the filenames (like 12345) means the version. I take the training steps and add those to the version. There has been more than 9k training steps.