Instructions to use Pinkstack/Luaudev-177M-Preview-inst-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 Pinkstack/Luaudev-177M-Preview-inst-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 Pinkstack/Luaudev-177M-Preview-inst-GGUF:BF16 # Run inference directly in the terminal: llama cli -hf Pinkstack/Luaudev-177M-Preview-inst-GGUF:BF16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Pinkstack/Luaudev-177M-Preview-inst-GGUF:BF16 # Run inference directly in the terminal: llama cli -hf Pinkstack/Luaudev-177M-Preview-inst-GGUF:BF16
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf Pinkstack/Luaudev-177M-Preview-inst-GGUF:BF16 # Run inference directly in the terminal: ./llama-cli -hf Pinkstack/Luaudev-177M-Preview-inst-GGUF:BF16
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf Pinkstack/Luaudev-177M-Preview-inst-GGUF:BF16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf Pinkstack/Luaudev-177M-Preview-inst-GGUF:BF16
Use Docker
docker model run hf.co/Pinkstack/Luaudev-177M-Preview-inst-GGUF:BF16
- LM Studio
- Jan
- vLLM
How to use Pinkstack/Luaudev-177M-Preview-inst-GGUF with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Pinkstack/Luaudev-177M-Preview-inst-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": "Pinkstack/Luaudev-177M-Preview-inst-GGUF", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/Pinkstack/Luaudev-177M-Preview-inst-GGUF:BF16
- Ollama
How to use Pinkstack/Luaudev-177M-Preview-inst-GGUF with Ollama:
ollama run hf.co/Pinkstack/Luaudev-177M-Preview-inst-GGUF:BF16
- Unsloth Desktop
- Pi
How to use Pinkstack/Luaudev-177M-Preview-inst-GGUF with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf Pinkstack/Luaudev-177M-Preview-inst-GGUF: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": "Pinkstack/Luaudev-177M-Preview-inst-GGUF:BF16" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use Pinkstack/Luaudev-177M-Preview-inst-GGUF with Docker Model Runner:
docker model run hf.co/Pinkstack/Luaudev-177M-Preview-inst-GGUF:BF16
- Lemonade
How to use Pinkstack/Luaudev-177M-Preview-inst-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Pinkstack/Luaudev-177M-Preview-inst-GGUF:BF16
Run and chat with the model
lemonade run user.Luaudev-177M-Preview-inst-GGUF-BF16
List all available models
lemonade list
- Hermes Agent
How to use Pinkstack/Luaudev-177M-Preview-inst-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 Pinkstack/Luaudev-177M-Preview-inst-GGUF: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 Pinkstack/Luaudev-177M-Preview-inst-GGUF:BF16
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use Pinkstack/Luaudev-177M-Preview-inst-GGUF with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf Pinkstack/Luaudev-177M-Preview-inst-GGUF: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 "Pinkstack/Luaudev-177M-Preview-inst-GGUF: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"
gguf
โ ๏ธ THIS IS A PREVIEW VARIANT OF LUAUDEV! DO NOT USE THIS MODEL FOR PRODUCTION. FOR PRODUCTION WAIT FOR THE OFFICIAL RELEASE
When luaudev officially releases, its readme will be more full with information. this is after one stage of sft and pre-training. The base model will be released along side the official instruct model.
This is the preview instruct variant.
pre-training info:
- Luaudev was pre-traiend on 21 billion unique tokens, at 4096 sequence length with packing enabled, with a knowledge cutoff date of march 2026 for code and web and for math may 2025.
- the model was pre-trained with fp8 matmuls with bf16 weights using the adamwfp8 optimizer and an a effective batch size of 288. All training was done on a single Nvidia RTX 4080 (overclocked)
post-training info:
- this luaudev variant was post-trained with sft on about 1.5 billion tokens of mixed luau specific code, math, q&a and so on. This model supports 4 reasoning efforts: disabled(no reasoning), low, medium, high. Note the model may loop with high reasoning more than normal. Luaudev also supports tool calling and agentic output and inputs yet for this preview the performance is not ideal.
- the model was post trained with an effective batch size of 32, and with a custom home-made ademamix based 2bit fp8 optimizer for real memory savings.
- post training was done with a sequence length of 32k, and thus that is the supported max sequence length by the model.
PLB benchmark results:
text:
| Model | Publisher | Elo |
|---|---|---|
| GPT OSS 20B ** | OpenAI | 75.4 ๐ |
| LuauDev 177M Preview * | Pinkstack | 56.1 |
| Qwen3.5 2B | Qwen | 17.3 |
| LFM2.5 350M | Liquid AI | 11.0 |
| Gemma 3 1B | 9.5 |
.* luaudev supports reasoning efforts โ set to disabled (reasoning off) for a fair comparison.
.** gpt-oss-20b supports reasoning efforts โ lowest available is low, so it was set to low.
License:
Luaudev is released under openmdw 1.1
- Downloads last month
- 107
16-bit
Model tree for Pinkstack/Luaudev-177M-Preview-inst-GGUF
Base model
Pinkstack/Luaudev-177M-Preview-inst