Triangulum 5 B it
prithivMLmodsIntroduction
Triangulum 5B IT is a multilingual large language model (LLM) designed for complex reasoning tasks and multilingual applications. It is built upon LLaMA's autoregressive language model and optimized with transformers for enhanced performance.
Architecture
Triangulum 5B IT employs a foundation model architecture inspired by LLaMA, which leverages an optimized transformer framework. This architecture supports multilingual capabilities, instruction tuning, and advanced reasoning through synthetic datasets.
Training
The training approach for Triangulum 5B IT includes:
- Synthetic Datasets: Utilizes long chain-of-thought synthetic data to improve reasoning.
- Supervised Fine-Tuning (SFT): Aligns the model to specific tasks using curated datasets.
- Reinforcement Learning with Human Feedback (RLHF): Ensures compliance with human values and safety through iterative learning.
Guide: Running Locally
Step 1: Download the Model
Use the following command to download the Triangulum model locally:
ollama run triangulum-5b-f16.gguf
Step 2: Model Initialization
Upon running the command, Ollama will initialize and download the model files.
Step 3: Interact with the Model
Once ready, send prompts to the model. For example, ask:
What can you do for me?
Step 4: Exit the Program
Type /exit
to terminate the session.
Cloud GPUs
For optimal performance, consider using cloud GPU services such as AWS EC2, Google Cloud, or Azure VMs with sufficient VRAM.
License
The Triangulum 5B IT model is licensed under the CreativeML OpenRAIL-M license, ensuring open access with adherence to specified usage guidelines.