Instructions to use AIMS2025/DeepSignal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use AIMS2025/DeepSignal with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="AIMS2025/DeepSignal",
	filename="DeepSignal-Phase-4B_V1.F16.gguf",
)

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

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use AIMS2025/DeepSignal 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 AIMS2025/DeepSignal:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf AIMS2025/DeepSignal:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf AIMS2025/DeepSignal:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf AIMS2025/DeepSignal: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 AIMS2025/DeepSignal:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf AIMS2025/DeepSignal: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 AIMS2025/DeepSignal:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf AIMS2025/DeepSignal:Q4_K_M

Use Docker

docker model run hf.co/AIMS2025/DeepSignal:Q4_K_M

LM Studio
Jan

vLLM

How to use AIMS2025/DeepSignal with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "AIMS2025/DeepSignal"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "AIMS2025/DeepSignal",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/AIMS2025/DeepSignal:Q4_K_M

Ollama
How to use AIMS2025/DeepSignal with Ollama:
```
ollama run hf.co/AIMS2025/DeepSignal:Q4_K_M
```

Unsloth Studio

How to use AIMS2025/DeepSignal 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 AIMS2025/DeepSignal 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 AIMS2025/DeepSignal to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for AIMS2025/DeepSignal to start chatting

Atomic Chat new
Docker Model Runner
How to use AIMS2025/DeepSignal with Docker Model Runner:
```
docker model run hf.co/AIMS2025/DeepSignal:Q4_K_M
```

Lemonade

How to use AIMS2025/DeepSignal with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull AIMS2025/DeepSignal:Q4_K_M

Run and chat with the model

lemonade run user.DeepSignal-Q4_K_M

List all available models

lemonade list

Request access to DeepSignal model weights

Access to the DeepSignal model weights is granted for academic research, education, government or public-sector research, and other approved non-commercial purposes. All access requests are manually reviewed by the AIMS Laboratory team. Please provide complete and accurate information.

By submitting this request, you confirm that the information you provide is accurate and that you will comply with the CC BY-NC 4.0 license. Commercial use of the DeepSignal model weights is not permitted.

Gated model

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Request access to DeepSignal model weights

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Gated model

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