Alelcv27/Llama3.1-8B-Base-Math-Code
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:8kPublished:Apr 28, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
Alelcv27/Llama3.1-8B-Base-Math-Code is an 8 billion parameter Llama 3.1-based model developed by Alelcv27, specifically fine-tuned for mathematical and coding tasks. This model builds upon a math-focused base and is optimized for performance in these domains. It was trained using Unsloth and Huggingface's TRL library, offering enhanced efficiency.
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Alelcv27/Llama3.1-8B-Base-Math-Code Overview
This model, developed by Alelcv27, is an 8 billion parameter variant of the Llama 3.1 architecture, specifically fine-tuned to excel in mathematical reasoning and code generation. It extends a pre-existing math-focused base model, indicating a specialized training regimen to enhance its capabilities in these technical areas.
Key Capabilities
- Specialized in Math: Designed to handle complex mathematical problems and operations.
- Proficient in Code: Optimized for generating and understanding programming code.
- Efficient Training: Leverages Unsloth and Huggingface's TRL library for faster and more efficient fine-tuning processes.
Good For
- Developers and researchers requiring a model with strong mathematical problem-solving skills.
- Applications involving code generation, debugging, or understanding programming logic.
- Use cases where a Llama 3.1-based model with an 8192-token context window is beneficial for technical tasks.