Instructions to use stneric/simplixity-router-2b-GGUF 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 stneric/simplixity-router-2b-GGUF 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 stneric/simplixity-router-2b-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf stneric/simplixity-router-2b-GGUF:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf stneric/simplixity-router-2b-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf stneric/simplixity-router-2b-GGUF:Q4_K_M
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 stneric/simplixity-router-2b-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama cli -hf stneric/simplixity-router-2b-GGUF:Q4_K_M
Use Docker
docker model run hf.co/stneric/simplixity-router-2b-GGUF:Q4_K_M
- Llama new
- LM Studio
- Jan
- vLLM
How to use stneric/simplixity-router-2b-GGUF with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "stneric/simplixity-router-2b-GGUF" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "stneric/simplixity-router-2b-GGUF", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/stneric/simplixity-router-2b-GGUF:Q4_K_M
- Ollama
How to use stneric/simplixity-router-2b-GGUF with Ollama:
ollama run hf.co/stneric/simplixity-router-2b-GGUF:Q4_K_M
- Unsloth Desktop
- Pi
How to use stneric/simplixity-router-2b-GGUF with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf stneric/simplixity-router-2b-GGUF:Q4_K_M
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": "stneric/simplixity-router-2b-GGUF:Q4_K_M" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use stneric/simplixity-router-2b-GGUF with Docker Model Runner:
docker model run hf.co/stneric/simplixity-router-2b-GGUF:Q4_K_M
- Lemonade
How to use stneric/simplixity-router-2b-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull stneric/simplixity-router-2b-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.simplixity-router-2b-GGUF-Q4_K_M
List all available models
lemonade list
- Hermes Agent
How to use stneric/simplixity-router-2b-GGUF with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf stneric/simplixity-router-2b-GGUF:Q4_K_M
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 stneric/simplixity-router-2b-GGUF:Q4_K_M
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use stneric/simplixity-router-2b-GGUF with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf stneric/simplixity-router-2b-GGUF:Q4_K_M
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 "stneric/simplixity-router-2b-GGUF:Q4_K_M" \ --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"
simplixity-router-2b-GGUF
GGUF file of simplixity-router-2b, a Qwen3.5-2B fine-tuned as the router of Simplixity. For each question, in English or German, it decides whether to search, with which queries, how much research is needed, the shape of the answer, how recent the sources must be and which sources to use.
| File | Size | Route correct | Median latency |
|---|---|---|---|
simplixity-router-2b-v1-Q4_K_M.gguf |
1.3 GB | 96% | 0.53 s |
| Qwen3.5-2B Q4_K_M, untuned, for comparison | 38% | 1.24 s | |
| Claude Haiku 5.5 with thinking, the teacher | 99% | 3.0 s |
Measured in Ollama 0.40 on an RTX 3070 Ti, with 105 hand-labelled questions (52 English, 53 German). "Route" means search yes or no, complexity and answer shape are all right. The details and the limits are on the model page.
The file contains the text model only. It was made with llama.cpp's convert_hf_to_gguf.py and quantized to Q4_K_M from bf16 with llama-quantize.
Use with Ollama
Save this as Modelfile, with the full path to the downloaded file:
FROM /full/path/to/simplixity-router-2b-v1-Q4_K_M.gguf
RENDERER qwen3.5
PARSER qwen3.5
PARAMETER num_ctx 8192
Then run:
ollama create simplixity-router:2b-v1-q4_k_m -f Modelfile
RENDERERandPARSER: without them, the system prompt never reaches the model.num_ctx: Simplixity sets no context length, and the router prompt with a chat history runs past Ollama's default.- The path after
FROM: a relative path does not work.
In Simplixity, choose the model as the router with provider Ollama. Also set a title model, for example simplixity-title-0.8b. Without one, Simplixity names chats with the router, and this model does not write titles.
Licence
Apache 2.0, like the base model.
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