Alelcv27/Llama3.1-8B-Base-Math
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:32kPublished:Apr 14, 2026License:apache-2.0Architecture:Transformer Open Weights Warm
Alelcv27/Llama3.1-8B-Base-Math is an 8 billion parameter Llama 3.1-based model developed by Alelcv27. This model was finetuned using Unsloth and Huggingface's TRL library, resulting in faster training. It is designed for mathematical tasks, leveraging its Llama 3.1 foundation for enhanced numerical reasoning capabilities.
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Model Overview
Alelcv27/Llama3.1-8B-Base-Math is an 8 billion parameter language model developed by Alelcv27. It is finetuned from unsloth/Llama-3.1-8B-unsloth-bnb-4bit and utilizes the Unsloth library for accelerated training, achieving a 2x speed improvement. The model is specifically optimized for mathematical applications, building upon the robust Llama 3.1 architecture.
Key Characteristics
- Base Model: Llama 3.1-8B architecture.
- Training Efficiency: Finetuned with Unsloth and Huggingface's TRL library for faster training.
- Parameter Count: 8 billion parameters.
- Context Length: Supports a context length of 32768 tokens.
Intended Use Cases
- Mathematical Reasoning: Designed to excel in tasks requiring numerical understanding and problem-solving.
- Specialized Applications: Suitable for applications where a strong mathematical foundation is crucial.
- Efficient Deployment: Benefits from its Unsloth-optimized training, potentially leading to more efficient inference.