Instructions to use some1nostr/Ostrich-70B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use some1nostr/Ostrich-70B with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="some1nostr/Ostrich-70B",
	filename="ostrich-70b-v32090-Q8_0-00001-of-00002.gguf",
)

llm.create_chat_completion(
	messages = [
		{
			"role": "user",
			"content": "What is the capital of France?"
		}
	]
)

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use some1nostr/Ostrich-70B with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf some1nostr/Ostrich-70B:Q8_0
# Run inference directly in the terminal:
llama-cli -hf some1nostr/Ostrich-70B:Q8_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf some1nostr/Ostrich-70B:Q8_0
# Run inference directly in the terminal:
llama-cli -hf some1nostr/Ostrich-70B:Q8_0

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf some1nostr/Ostrich-70B:Q8_0
# Run inference directly in the terminal:
./llama-cli -hf some1nostr/Ostrich-70B:Q8_0

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf some1nostr/Ostrich-70B:Q8_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf some1nostr/Ostrich-70B:Q8_0

Use Docker

docker model run hf.co/some1nostr/Ostrich-70B:Q8_0

LM Studio
Jan

vLLM

How to use some1nostr/Ostrich-70B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "some1nostr/Ostrich-70B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "some1nostr/Ostrich-70B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/some1nostr/Ostrich-70B:Q8_0

Ollama
How to use some1nostr/Ostrich-70B with Ollama:
```
ollama run hf.co/some1nostr/Ostrich-70B:Q8_0
```

Unsloth Studio new

How to use some1nostr/Ostrich-70B with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for some1nostr/Ostrich-70B to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for some1nostr/Ostrich-70B to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for some1nostr/Ostrich-70B to start chatting

Docker Model Runner
How to use some1nostr/Ostrich-70B with Docker Model Runner:
```
docker model run hf.co/some1nostr/Ostrich-70B:Q8_0
```

Lemonade

How to use some1nostr/Ostrich-70B with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull some1nostr/Ostrich-70B:Q8_0

Run and chat with the model

lemonade run user.Ostrich-70B-Q8_0

List all available models

lemonade list

A newer version of this model is available: etemiz/Ostrich-70B-Llama3-251212

Model Card for Ostrich

Finetuned from model: Llama3-70B

Pre Trained With

Health, nutrition, medicinal herbs
Fasting, faith, healing
Nostr notes: bitcoin, libertarian views and other topics discussed on Nostr
Some controversial and non mainstream topics

Uses

Get a nuanced view on things. The answers from this model are quite different than majority of models on "topics that matter" like healthy living, nutrition. Libertarian, based and veracious, seeking truth and not caring about the mainstream mediocrity.

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. There is no guarantee that the model will be of any use. It may hallucinate often. The answers of this model will be often unreliable and you should do your own research and compare outputs.

Training Details

Training Data

Mostly what makes sense to me. Some books, some videos, some banned videos from youtube.

Training Procedure

LLaMa-Factory is used to train using fsdp_qlora technique.

The number in the filenames (like v43000) means the version. I take the training steps and add those as the version. Each source, book, note adds to the version.

Contributions

Let me know about your non mainstream models. Send me your ideas about how to curate models with better wisdom.

If you think you can curate great models with the best wisdom but don't know how to do the tech part, contact me. We could fine tune a model together.

Another fine tune based on Gemma 3 27B

I made another fine tune in the same spirit.

some1nostr
/

Ostrich-70B