Instructions to use CompiwerAI/Mtrini-27B-Tellus-IQ2_XS 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 CompiwerAI/Mtrini-27B-Tellus-IQ2_XS 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 CompiwerAI/Mtrini-27B-Tellus-IQ2_XS:IQ2_XS # Run inference directly in the terminal: llama cli -hf CompiwerAI/Mtrini-27B-Tellus-IQ2_XS:IQ2_XS
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf CompiwerAI/Mtrini-27B-Tellus-IQ2_XS:IQ2_XS # Run inference directly in the terminal: llama cli -hf CompiwerAI/Mtrini-27B-Tellus-IQ2_XS:IQ2_XS
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 CompiwerAI/Mtrini-27B-Tellus-IQ2_XS:IQ2_XS # Run inference directly in the terminal: ./llama-cli -hf CompiwerAI/Mtrini-27B-Tellus-IQ2_XS:IQ2_XS
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 CompiwerAI/Mtrini-27B-Tellus-IQ2_XS:IQ2_XS # Run inference directly in the terminal: ./build/bin/llama-cli -hf CompiwerAI/Mtrini-27B-Tellus-IQ2_XS:IQ2_XS
Use Docker
docker model run hf.co/CompiwerAI/Mtrini-27B-Tellus-IQ2_XS:IQ2_XS
- LM Studio
- Jan
- vLLM
How to use CompiwerAI/Mtrini-27B-Tellus-IQ2_XS with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "CompiwerAI/Mtrini-27B-Tellus-IQ2_XS" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "CompiwerAI/Mtrini-27B-Tellus-IQ2_XS", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/CompiwerAI/Mtrini-27B-Tellus-IQ2_XS:IQ2_XS
- Ollama
How to use CompiwerAI/Mtrini-27B-Tellus-IQ2_XS with Ollama:
ollama run hf.co/CompiwerAI/Mtrini-27B-Tellus-IQ2_XS:IQ2_XS
- Unsloth Desktop
- Pi
How to use CompiwerAI/Mtrini-27B-Tellus-IQ2_XS with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf CompiwerAI/Mtrini-27B-Tellus-IQ2_XS:IQ2_XS
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": "CompiwerAI/Mtrini-27B-Tellus-IQ2_XS:IQ2_XS" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use CompiwerAI/Mtrini-27B-Tellus-IQ2_XS with Docker Model Runner:
docker model run hf.co/CompiwerAI/Mtrini-27B-Tellus-IQ2_XS:IQ2_XS
- Lemonade
How to use CompiwerAI/Mtrini-27B-Tellus-IQ2_XS with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull CompiwerAI/Mtrini-27B-Tellus-IQ2_XS:IQ2_XS
Run and chat with the model
lemonade run user.Mtrini-27B-Tellus-IQ2_XS-IQ2_XS
List all available models
lemonade list
- Hermes Agent
How to use CompiwerAI/Mtrini-27B-Tellus-IQ2_XS with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf CompiwerAI/Mtrini-27B-Tellus-IQ2_XS:IQ2_XS
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 CompiwerAI/Mtrini-27B-Tellus-IQ2_XS:IQ2_XS
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use CompiwerAI/Mtrini-27B-Tellus-IQ2_XS with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf CompiwerAI/Mtrini-27B-Tellus-IQ2_XS:IQ2_XS
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 "CompiwerAI/Mtrini-27B-Tellus-IQ2_XS:IQ2_XS" \ --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"
Mtrini-27B-Tellus-IQ2_XS
This repository contains the IQ2_XS GGUF quantization of Mtrini-27B-Tellus by CompiwerAI.
CompiwerAI โ Building AI For Everyone.
File
Mtrini-27B-Tellus-IQ2_XS.gguf
Approximate size: 8.47 GiB
Quantization: IQ2_XS
Approximate bits per weight: 2.3125 bpw
Quantization
The IQ2_XS release was generated from the F16 GGUF using an importance matrix created from a dedicated calibration dataset.
| Property | Value |
|---|---|
| Calibration context | 512 |
| Threads | 20 |
| Chunks | 32 |
| Calibration PPL | ~2.4629 ยฑ 0.04545 |
| Importance entries | 496 |
Architecture
- Architecture:
qwen35 - Tensor count: 851
- Transformer blocks: 64
- Embedding size: 5120
- FFN size: 17408
- Attention heads: 24
- KV heads: 4
llama.cpp
llama-cli \
-m Mtrini-27B-Tellus-IQ2_XS.gguf \
-p "What is 27 multiplied by 8?"
Validation example:
216
Related Releases
- Main:
CompiwerAI/Mtrini-27B-Tellus - Adapter:
CompiwerAI/Mtrini-27B-Tellus-Adapter - Merged:
CompiwerAI/Mtrini-27B-Tellus-Merged - F16 GGUF:
CompiwerAI/Mtrini-27B-Tellus-GGUF - Imatrix:
CompiwerAI/Mtrini-27B-Tellus-IQ2_XS-Imatrix
- Downloads last month
- 163
2-bit