Model Overview

The mhmsadegh/Llama-3.2-3B-Instruct-3-sfand-cause-effect-model-lora is a 3.2 billion parameter instruction-tuned language model developed by mhmsadegh. It is finetuned from the unsloth/Llama-3.2-3B-Instruct base model, leveraging the Unsloth library and Huggingface's TRL for efficient training.

Key Characteristics

• Architecture: Llama-3.2-3B-Instruct base model.
• Parameter Count: 3.2 billion parameters.
• Context Length: Supports a context window of 32768 tokens.
• Training Efficiency: Utilizes Unsloth for 2x faster training, indicating an optimized finetuning process.
• License: Distributed under the Apache-2.0 license.

Potential Use Cases

This model is suitable for a variety of instruction-following applications, particularly where a compact yet capable model with a substantial context window is beneficial. Its efficient training suggests it could be a good candidate for further domain-specific finetuning or deployment in resource-constrained environments.