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DuoNeural
/
Lattice-5-Prometheus-v2

Text Generation
Transformers
Safetensors
GGUF
cdm_moe_poincare
cdm
crystallographic-dynamics-model
competitive-docking-memory
non-euclidean
hyperbolic
poincare-ball
poincare-embeddings
mixture-of-experts
hepta-cap
dhp
crystal-telepathy
knowledge-distillation
neuromorphic
glass-box-ai
llama-cpp
duoneural
conversational
Model card Files Files and versions
xet
Community

Instructions to use DuoNeural/Lattice-5-Prometheus-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use DuoNeural/Lattice-5-Prometheus-v2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-generation", model="DuoNeural/Lattice-5-Prometheus-v2")
    messages = [
        {"role": "user", "content": "Who are you?"},
    ]
    pipe(messages)
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import CDMMoELM
    model = CDMMoELM.from_pretrained("DuoNeural/Lattice-5-Prometheus-v2", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • llama.cpp

    How to use DuoNeural/Lattice-5-Prometheus-v2 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 DuoNeural/Lattice-5-Prometheus-v2
    # Run inference directly in the terminal:
    llama cli -hf DuoNeural/Lattice-5-Prometheus-v2
    Install from WinGet (Windows)
    winget install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama serve -hf DuoNeural/Lattice-5-Prometheus-v2
    # Run inference directly in the terminal:
    llama cli -hf DuoNeural/Lattice-5-Prometheus-v2
    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 DuoNeural/Lattice-5-Prometheus-v2
    # Run inference directly in the terminal:
    ./build/bin/llama cli -hf DuoNeural/Lattice-5-Prometheus-v2
    Use Docker
    docker model run hf.co/DuoNeural/Lattice-5-Prometheus-v2
  • Llama new
  • LM Studio
  • Jan
  • vLLM

    How to use DuoNeural/Lattice-5-Prometheus-v2 with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "DuoNeural/Lattice-5-Prometheus-v2"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/chat/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "DuoNeural/Lattice-5-Prometheus-v2",
    		"messages": [
    			{
    				"role": "user",
    				"content": "What is the capital of France?"
    			}
    		]
    	}'
    Use Docker
    docker model run hf.co/DuoNeural/Lattice-5-Prometheus-v2
  • SGLang

    How to use DuoNeural/Lattice-5-Prometheus-v2 with SGLang:

    Install from pip and serve model
    # Install SGLang from pip:
    pip install sglang
    # Start the SGLang server:
    python3 -m sglang.launch_server \
        --model-path "DuoNeural/Lattice-5-Prometheus-v2" \
        --host 0.0.0.0 \
        --port 30000
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:30000/v1/chat/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "DuoNeural/Lattice-5-Prometheus-v2",
    		"messages": [
    			{
    				"role": "user",
    				"content": "What is the capital of France?"
    			}
    		]
    	}'
    Use Docker images
    docker run --gpus all \
        --shm-size 32g \
        -p 30000:30000 \
        -v ~/.cache/huggingface:/root/.cache/huggingface \
        --env "HF_TOKEN=<secret>" \
        --ipc=host \
        lmsysorg/sglang:latest \
        python3 -m sglang.launch_server \
            --model-path "DuoNeural/Lattice-5-Prometheus-v2" \
            --host 0.0.0.0 \
            --port 30000
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:30000/v1/chat/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "DuoNeural/Lattice-5-Prometheus-v2",
    		"messages": [
    			{
    				"role": "user",
    				"content": "What is the capital of France?"
    			}
    		]
    	}'
  • Ollama

    How to use DuoNeural/Lattice-5-Prometheus-v2 with Ollama:

    ollama run hf.co/DuoNeural/Lattice-5-Prometheus-v2
  • Unsloth Desktop
  • Pi

    How to use DuoNeural/Lattice-5-Prometheus-v2 with Pi:

    Start the llama.cpp server
    # Install llama.cpp:
    brew install llama.cpp
    # Start a local OpenAI-compatible server:
    llama serve -hf DuoNeural/Lattice-5-Prometheus-v2
    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": "DuoNeural/Lattice-5-Prometheus-v2"
            }
          ]
        }
      }
    }
    Run Pi
    # Start Pi in your project directory:
    pi
  • Docker Model Runner

    How to use DuoNeural/Lattice-5-Prometheus-v2 with Docker Model Runner:

    docker model run hf.co/DuoNeural/Lattice-5-Prometheus-v2
  • Lemonade

    How to use DuoNeural/Lattice-5-Prometheus-v2 with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull DuoNeural/Lattice-5-Prometheus-v2
    Run and chat with the model
    lemonade run user.Lattice-5-Prometheus-v2-{{QUANT_TAG}}
    List all available models
    lemonade list
  • Hermes Agent

    How to use DuoNeural/Lattice-5-Prometheus-v2 with Hermes Agent:

    Start the llama.cpp server
    # Install llama.cpp:
    brew install llama.cpp
    # Start a local OpenAI-compatible server:
    llama serve -hf DuoNeural/Lattice-5-Prometheus-v2
    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 DuoNeural/Lattice-5-Prometheus-v2
    Run Hermes
    hermes
  • Atomic Chat
  • OpenClaw

    How to use DuoNeural/Lattice-5-Prometheus-v2 with OpenClaw:

    Start the llama.cpp server
    # Install llama.cpp:
    brew install llama.cpp
    # Start a local OpenAI-compatible server:
    llama serve -hf DuoNeural/Lattice-5-Prometheus-v2
    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 "DuoNeural/Lattice-5-Prometheus-v2" \
      --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"
Lattice-5-Prometheus-v2
2.17 GB
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  • 1 contributor
History: 4 commits
DuoNeural's picture
DuoNeural
Update model card with Kestrel GGUF parity metrics and 912 MiB F32 embedding disclosure
36fa2d0 verified about 7 hours ago
  • .gitattributes
    1.65 kB
    Upload lattice5_prometheus_v2-q8-attn-q6-rest.gguf with huggingface_hub about 7 hours ago
  • README.md
    9.39 kB
    Update model card with Kestrel GGUF parity metrics and 912 MiB F32 embedding disclosure about 7 hours ago
  • benchmark_report.json
    944 Bytes
    Release Lattice-5-Prometheus-v2: Solid-State Hepta-Cap 7L Poincare CDM (0.9605 BPB, BoolQ 64.67%) about 8 hours ago
  • chat_template.jinja
    8.95 kB
    Release Lattice-5-Prometheus-v2: Solid-State Hepta-Cap 7L Poincare CDM (0.9605 BPB, BoolQ 64.67%) about 8 hours ago
  • config.json
    559 Bytes
    Release Lattice-5-Prometheus-v2: Solid-State Hepta-Cap 7L Poincare CDM (0.9605 BPB, BoolQ 64.67%) about 8 hours ago
  • lattice5_prometheus_v2-q8-attn-q6-rest.gguf
    956 MB
    xet
    Upload lattice5_prometheus_v2-q8-attn-q6-rest.gguf with huggingface_hub about 7 hours ago
  • model.safetensors
    1.2 GB
    xet
    Release Lattice-5-Prometheus-v2: Solid-State Hepta-Cap 7L Poincare CDM (0.9605 BPB, BoolQ 64.67%) about 8 hours ago
  • tokenizer.json
    20 MB
    xet
    Release Lattice-5-Prometheus-v2: Solid-State Hepta-Cap 7L Poincare CDM (0.9605 BPB, BoolQ 64.67%) about 8 hours ago
  • tokenizer_config.json
    1.47 kB
    Release Lattice-5-Prometheus-v2: Solid-State Hepta-Cap 7L Poincare CDM (0.9605 BPB, BoolQ 64.67%) about 8 hours ago