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
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"
Download config.json from DuoNeural/Lattice-5-Prometheus-v2: direct link, hf CLI and curl.
- Browser
- Download file 559 Bytes
-
https://huggingface.co/DuoNeural/Lattice-5-Prometheus-v2/resolve/main/config.json
- Command line
-
hf download hf://DuoNeural/Lattice-5-Prometheus-v2/config.json
-
curl -L -o config.json https://huggingface.co/DuoNeural/Lattice-5-Prometheus-v2/resolve/main/config.json
559 Bytes
| { | |
| "architectures": [ | |
| "CDMMoELM" | |
| ], | |
| "model_type": "cdm_moe_poincare", | |
| "d_model": 768, | |
| "n_layers": 7, | |
| "n_heads": 12, | |
| "K": 8, | |
| "num_experts": 4, | |
| "d_ff": 3072, | |
| "max_seq": 512, | |
| "vocab_size": 248320, | |
| "geometry": "poincare", | |
| "curvature": 1.4427, | |
| "learn_curvature": true, | |
| "use_telepathy": true, | |
| "beta_tele": 0.5, | |
| "best_val_bpb": 0.9605, | |
| "best_step": 55500, | |
| "hepta_cap": true, | |
| "training_steps": 100000, | |
| "teacher": "Qwen/Qwen3.8-27B", | |
| "dataset_composition": "50% FineWeb-Edu + 50% SmolTalk (Hybrid Reasoning & Instruct)" | |
| } |