muverqqw/Noir-Gemma-3-1b

Noir-Gemma-3-1b Overview

The muverqqw/Noir-Gemma-3-1b is a 1 billion parameter language model, specifically fine-tuned and converted into the GGUF format. This conversion was performed using Unsloth, a framework known for accelerating model training and conversion processes. The model's BOS token behavior has been adjusted to ensure compatibility with GGUF.

Key Capabilities & Features

• Efficient Local Deployment: Provided in GGUF format, making it highly suitable for local inference using tools like llama.cpp.
• Ollama Integration: Includes an Ollama Modelfile for straightforward deployment within the Ollama ecosystem.
• Optimized Conversion: Benefits from Unsloth's optimization, suggesting a focus on performance and efficiency during its creation.
• Compact Size: At 1 billion parameters, it's designed for scenarios where computational resources are limited.

Good For

• Edge Device Inference: Ideal for running language model tasks on devices with restricted memory or processing power.
• Local Development & Experimentation: Developers can easily integrate and test this model locally without extensive setup.
• Applications Requiring Small Footprint LLMs: Suitable for use cases where a lightweight, performant language model is preferred over larger, more resource-intensive alternatives.