Instructions to use asjadilahi/danAI-55M-Reasoning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use asjadilahi/danAI-55M-Reasoning 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 asjadilahi/danAI-55M-Reasoning:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf asjadilahi/danAI-55M-Reasoning:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf asjadilahi/danAI-55M-Reasoning:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf asjadilahi/danAI-55M-Reasoning:Q4_K_M

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 asjadilahi/danAI-55M-Reasoning:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf asjadilahi/danAI-55M-Reasoning:Q4_K_M

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 asjadilahi/danAI-55M-Reasoning:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf asjadilahi/danAI-55M-Reasoning:Q4_K_M

Use Docker

docker model run hf.co/asjadilahi/danAI-55M-Reasoning:Q4_K_M

LM Studio
Jan

vLLM

How to use asjadilahi/danAI-55M-Reasoning with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "asjadilahi/danAI-55M-Reasoning"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "asjadilahi/danAI-55M-Reasoning",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/asjadilahi/danAI-55M-Reasoning:Q4_K_M

Ollama
How to use asjadilahi/danAI-55M-Reasoning with Ollama:
```
ollama run hf.co/asjadilahi/danAI-55M-Reasoning:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use asjadilahi/danAI-55M-Reasoning with Docker Model Runner:
```
docker model run hf.co/asjadilahi/danAI-55M-Reasoning:Q4_K_M
```

Lemonade

How to use asjadilahi/danAI-55M-Reasoning with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull asjadilahi/danAI-55M-Reasoning:Q4_K_M

Run and chat with the model

lemonade run user.danAI-55M-Reasoning-Q4_K_M

List all available models

lemonade list

Atomic Chat

Dear DanAi

by Aveniats - opened 8 days ago

Discussion

Aveniats

8 days ago

Hello DanAi. We liked your model so much that we decided to add it to our hub of smartphone local neural networks. We wish you good luck!

asjadilahi

Owner 8 days ago

Hello DanAi. We liked your model so much that we decided to add it to our hub of smartphone local neural networks. We wish you good luck!

Thanks so much for featuring DanAi-55M-Reasoning! Really happy you liked it. Excited to see how it performs on smartphones.

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