Alelcv27/Llama3.1-8B-Base-Code-Math

TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:8kTool Calling:SupportedPublished:Apr 28, 2026License:apache-2.0Architecture:Transformer Open Weights Cold

Alelcv27/Llama3.1-8B-Base-Code-Math is an 8 billion parameter Llama 3.1-based model developed by Alelcv27, fine-tuned from Alelcv27/Llama3.1-8B-Base-Code. This model is specifically optimized for code and mathematical tasks, leveraging efficient training with Unsloth and Huggingface's TRL library. It is designed for applications requiring strong performance in programming and quantitative reasoning, offering a context length of 8192 tokens.

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Model Overview

Alelcv27/Llama3.1-8B-Base-Code-Math is an 8 billion parameter language model developed by Alelcv27. It is a specialized fine-tune of the Llama 3.1-8B-Base-Code model, indicating a strong focus on enhancing capabilities in programming and mathematical domains. The model was trained using Unsloth and Huggingface's TRL library, which suggests an emphasis on efficient and accelerated training processes.

Key Capabilities

  • Code Generation & Understanding: Fine-tuned from a code-centric base model, it is expected to perform well in tasks related to programming.
  • Mathematical Reasoning: The "-Math" suffix indicates specific optimization for quantitative and logical problem-solving.
  • Efficient Training: Utilizes Unsloth for faster training, potentially leading to more refined performance for its size.

Good For

  • Developers and researchers working on code-related applications.
  • Tasks requiring mathematical problem-solving and logical reasoning.
  • Scenarios where an 8 billion parameter model with specialized code and math capabilities is beneficial.

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