Instructions to use MrScratchcat/Aurelis-2B 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 MrScratchcat/Aurelis-2B 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 MrScratchcat/Aurelis-2B:Q8_0 # Run inference directly in the terminal: llama cli -hf MrScratchcat/Aurelis-2B:Q8_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf MrScratchcat/Aurelis-2B:Q8_0 # Run inference directly in the terminal: llama cli -hf MrScratchcat/Aurelis-2B:Q8_0
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 MrScratchcat/Aurelis-2B:Q8_0 # Run inference directly in the terminal: ./build/bin/llama cli -hf MrScratchcat/Aurelis-2B:Q8_0
Use Docker
docker model run hf.co/MrScratchcat/Aurelis-2B:Q8_0
- Llama new
- LM Studio
- Jan
- Ollama
How to use MrScratchcat/Aurelis-2B with Ollama:
ollama run hf.co/MrScratchcat/Aurelis-2B:Q8_0
- Unsloth Desktop
- Pi
How to use MrScratchcat/Aurelis-2B with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf MrScratchcat/Aurelis-2B:Q8_0
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": "MrScratchcat/Aurelis-2B:Q8_0" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use MrScratchcat/Aurelis-2B with Docker Model Runner:
docker model run hf.co/MrScratchcat/Aurelis-2B:Q8_0
- Lemonade
How to use MrScratchcat/Aurelis-2B with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull MrScratchcat/Aurelis-2B:Q8_0
Run and chat with the model
lemonade run user.Aurelis-2B-Q8_0
List all available models
lemonade list
- Hermes Agent
How to use MrScratchcat/Aurelis-2B with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf MrScratchcat/Aurelis-2B:Q8_0
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 MrScratchcat/Aurelis-2B:Q8_0
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use MrScratchcat/Aurelis-2B with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf MrScratchcat/Aurelis-2B:Q8_0
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 "MrScratchcat/Aurelis-2B:Q8_0" \ --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 tokenizer_config.json from MrScratchcat/Aurelis-2B: direct link, hf CLI and curl.
- Browser
- Download file 625 Bytes
-
https://huggingface.co/MrScratchcat/Aurelis-2B/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://MrScratchcat/Aurelis-2B/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/MrScratchcat/Aurelis-2B/resolve/main/tokenizer_config.json
625 Bytes
| { | |
| "add_prefix_space": null, | |
| "backend": "tokenizers", | |
| "bos_token": "<s>", | |
| "clean_up_tokenization_spaces": false, | |
| "eos_token": "</s>", | |
| "is_local": true, | |
| "legacy": true, | |
| "local_files_only": false, | |
| "max_length": 4096, | |
| "model_max_length": 131072, | |
| "pad_to_multiple_of": null, | |
| "pad_token": "</s>", | |
| "pad_token_type_id": 0, | |
| "padding_side": "left", | |
| "sp_model_kwargs": {}, | |
| "spaces_between_special_tokens": false, | |
| "stride": 0, | |
| "tokenizer_class": "TokenizersBackend", | |
| "truncation_side": "left", | |
| "truncation_strategy": "longest_first", | |
| "unk_token": "<unk>", | |
| "use_default_system_prompt": false | |
| } | |