Open LLM List
Deepsync 240 G G U F
prithivMLmodsIntroduction
Deepsync-240-GGUF is a fine-tuned version of the Llama-3.2-3B-Instruct model, optimized for text generation tasks requiring deep reasoning, logical structuring, and problem-solving. It is suitable for applications in education, programming, and creative writing, excelling in generating step-by-step solutions, creative content, and logical analyses.
Architecture
The model is based on the Llama 3.2 auto-regressive language model, utilizing an optimized transformer architecture. It employs supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF) to align outputs with human preferences for helpfulness and safety. Deepsync-240-GGUF supports a long context of up to 128K tokens and can generate up to 8K tokens, with multilingual capabilities in over 29 languages.
Training
The model is trained with a focus on coding and mathematics, showcasing improvements in instruction following, long-text generation, and structured data understanding. Its training includes enhancements for role-play implementations and condition-setting in chatbots, contributing to its robust natural language processing capabilities.
Guide: Running Locally
Step-by-Step Guide
- Install Ollama: Download and install Ollama from ollama.com/download.
- Create Your Model File:
- Create a file named after your model, e.g.,
metallama. - Specify the base model with:
FROM Llama-3.2-1B.F16.gguf - Ensure the base model file is in the same directory.
- Create a file named after your model, e.g.,
- Create and Patch the Model:
- Run the following commands to create and verify your model:
ollama create metallama -f ./metallama ollama list
- Run the following commands to create and verify your model:
- Run the Model:
- Start your model with:
ollama run metallama
- Start your model with:
- Interact with the Model:
- Engage with the model by entering requests, e.g., "Tell me about Space X."
Suggestion for Cloud GPUs
For enhanced performance, consider utilizing cloud GPU services such as AWS, Google Cloud, or Azure to support model inference and training tasks.
License
The Deepsync-240-GGUF model is licensed under the creativeml-openrail-m license, ensuring open and accessible use for creative and machine learning applications.
