Alelcv27/Llama3.1-8B-Code Overview

Alelcv27/Llama3.1-8B-Code is an 8 billion parameter language model, finetuned by Alelcv27. It is based on the Llama 3.1 instruction-tuned architecture, specifically building upon unsloth/llama-3.1-8b-instruct-unsloth-bnb-4bit.

Key Characteristics

• Architecture: Llama 3.1, an advanced causal language model.
• Parameter Count: 8 billion parameters, offering a balance of performance and efficiency.
• Training Efficiency: Finetuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
• Context Length: Supports a context window of 32768 tokens, suitable for handling longer inputs and complex tasks.

Intended Use Cases

This model is well-suited for a variety of general instruction-following applications, benefiting from its Llama 3.1 foundation and efficient finetuning. Its capabilities make it a strong candidate for tasks requiring robust language understanding and generation.