EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto

Overview

EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto is an 8 billion parameter Llama 3.1-based instruction-tuned model developed by EpistemeAI, featuring an extended 128K context window. It is designed as a coding and ToT/CoT assistant, with a strong focus on agentic capabilities.

Key Capabilities

• Agentic Features: Incorporates ReAct (Synergizing Reasoning and Acting), Automatic Reasoning and Tool-use (ART), Autonomous Goal-Setting, and Reflective Analysis.
• Self-Learning & Self-Reflecting: Designed for continuous self-learning and self-reflection, including auto-training using Unsloth.
• Coding & Data Science: Optimized for advanced coding, data mining, large data processing, EDA, and visualization, including machine learning, AI engineering, and MLOps.
• Tool Use: Includes built-in search and calculator agents, and is fine-tuned for effective tool utilization.
• Memory Integration: Supports memory features, specifically recommending Langchain's message persistence.
• Code Debugging & Refactoring: Demonstrates capabilities in self-debugging and self-refactoring code.

Good For

• Developers and researchers in advanced coding, data science, and machine learning.
• Building agentic applications requiring reasoning, tool use, and autonomous problem-solving.
• Integration with frameworks like Langchain or LlamaIndex for complex AI workflows.
• Applications requiring a model capable of generating and debugging code, and performing data analysis tasks.