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

Notebooks
Google Colab
Kaggle
Local Apps Settings

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

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -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 serve -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 Desktop
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

Atomic Chat

some1nostr commited on May 20, 2025

Commit

3447478

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1 Parent(s): 4405420

Update README.md

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@@ -53,6 +53,10 @@ Let me know about your non mainstream models. Send me your ideas about how to cu
 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.
 # Sponsored by
 https://pickabrain.ai

 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.](https://huggingface.co/etemiz/Ostrich-27B-AHA-Gemma3-250519)
 # Sponsored by
 https://pickabrain.ai