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AIMS2025
/
DeepSignal-S1

Safetensors
GGUF
decision-model
conversational
Model card Files Files and versions
xet
Community

Instructions to use AIMS2025/DeepSignal-S1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • llama.cpp

    How to use AIMS2025/DeepSignal-S1 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-S1:BF16
    # Run inference directly in the terminal:
    llama cli -hf AIMS2025/DeepSignal-S1:BF16
    Install from WinGet (Windows)
    winget install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama serve -hf AIMS2025/DeepSignal-S1:BF16
    # Run inference directly in the terminal:
    llama cli -hf AIMS2025/DeepSignal-S1:BF16
    Build from source code
    git clone https://github.com/ggml-org/llama.cpp.git
    cd llama.cpp
    cmake -B build
    cmake --build build -j --target llama-app
    # Start a local OpenAI-compatible server with a web UI:
    ./build/bin/llama serve -hf AIMS2025/DeepSignal-S1:BF16
    # Run inference directly in the terminal:
    ./build/bin/llama cli -hf AIMS2025/DeepSignal-S1:BF16
    Use Docker
    docker model run hf.co/AIMS2025/DeepSignal-S1:BF16
  • Llama new
  • LM Studio
  • Jan
  • Ollama

    How to use AIMS2025/DeepSignal-S1 with Ollama:

    ollama run hf.co/AIMS2025/DeepSignal-S1:BF16
  • Unsloth Desktop
  • Pi

    How to use AIMS2025/DeepSignal-S1 with Pi:

    Start the llama.cpp server
    # Install llama.cpp:
    brew install llama.cpp
    # Start a local OpenAI-compatible server:
    llama serve -hf AIMS2025/DeepSignal-S1:BF16
    Configure the model in Pi
    # Install Pi:
    npm install -g @earendil-works/pi-coding-agent
    # Add to ~/.pi/agent/models.json:
    {
      "providers": {
        "llama-cpp": {
          "baseUrl": "http://localhost:8080/v1",
          "api": "openai-completions",
          "apiKey": "none",
          "models": [
            {
              "id": "AIMS2025/DeepSignal-S1:BF16"
            }
          ]
        }
      }
    }
    Run Pi
    # Start Pi in your project directory:
    pi
  • Docker Model Runner

    How to use AIMS2025/DeepSignal-S1 with Docker Model Runner:

    docker model run hf.co/AIMS2025/DeepSignal-S1:BF16
  • Lemonade

    How to use AIMS2025/DeepSignal-S1 with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull AIMS2025/DeepSignal-S1:BF16
    Run and chat with the model
    lemonade run user.DeepSignal-S1-BF16
    List all available models
    lemonade list
  • Hermes Agent

    How to use AIMS2025/DeepSignal-S1 with Hermes Agent:

    Start the llama.cpp server
    # Install llama.cpp:
    brew install llama.cpp
    # Start a local OpenAI-compatible server:
    llama serve -hf AIMS2025/DeepSignal-S1:BF16
    Configure Hermes
    # Install Hermes:
    curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
    hermes setup
    # Point Hermes at the local server:
    hermes config set model.provider custom
    hermes config set model.base_url http://127.0.0.1:8080/v1
    hermes config set model.default AIMS2025/DeepSignal-S1:BF16
    Run Hermes
    hermes
  • Atomic Chat
  • OpenClaw

    How to use AIMS2025/DeepSignal-S1 with OpenClaw:

    Start the llama.cpp server
    # Install llama.cpp:
    brew install llama.cpp
    # Start a local OpenAI-compatible server:
    llama serve -hf AIMS2025/DeepSignal-S1:BF16
    Configure OpenClaw
    # Install OpenClaw:
    npm install -g openclaw@latest
    # Register the local server and set it as the default model:
    openclaw onboard --non-interactive --mode local \
      --auth-choice custom-api-key \
      --custom-base-url http://127.0.0.1:8080/v1 \
      --custom-model-id "AIMS2025/DeepSignal-S1:BF16" \
      --custom-provider-id llama-cpp \
      --custom-compatibility openai \
      --custom-text-input \
      --accept-risk \
      --skip-health
    Run OpenClaw
    openclaw agent --local --agent main --message "Hello from Hugging Face"

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Preview of files found in this repository
  • decision
    Release DeepSignal-S1-1.0 fused decision weights and evaluations 7 days ago
  • engine
    Use DeepSignal-S1 runtime module names without changing model weights 11 days ago
  • gguf
    docs: temporarily blank README pages about 2 hours ago
  • .gitattributes
    448 Bytes
    Add fusion BF16 and IQ4_XS GGUF deployment files 5 days ago
  • README.md
    0 Bytes
    docs: temporarily blank README pages about 2 hours ago
  • decision_format.py
    1.08 kB
    Add files using upload-large-folder tool 11 days ago
  • deepsignal_runtime.py
    3.77 kB
    Add files using upload-large-folder tool 11 days ago
  • intersection_context.json
    13.7 kB
    Add files using upload-large-folder tool 11 days ago
  • release.json
    608 Bytes
    Release DeepSignal-S1-1.0 fused decision weights and evaluations 7 days ago
  • requirements.txt
    268 Bytes
    Add files using upload-large-folder tool 11 days ago