Model Overview

Neelectric/Llama-3.1-8B-Instruct_SFT_mathfisher_v00.04 is an 8 billion parameter instruction-tuned model, building upon the robust foundation of meta-llama/Llama-3.1-8B-Instruct. This model has been fine-tuned using Supervised Fine-Tuning (SFT) with the TRL library, enhancing its ability to follow instructions effectively.

Key Characteristics

• Base Model: Fine-tuned from Meta's Llama-3.1-8B-Instruct.
• Parameter Count: 8 billion parameters, offering a balance between performance and computational efficiency.
• Context Length: Supports a substantial context window of 32768 tokens, enabling processing of longer inputs and generating more coherent, extended responses.
• Training Method: Utilizes SFT for instruction alignment, as detailed in its Weights & Biases run.

Use Cases

This model is suitable for a wide range of general-purpose instruction-following tasks, including:

• Answering questions
• Generating creative text formats
• Summarization
• Dialogue systems
• Code generation and explanation (inheriting capabilities from its base model)