g-assismoraes/DeltaP2S-Llama2-13B-DeltaP2S-MetaMath-S13
TEXT GENERATIONPricing:Input $1.5 / Output $2.1Concurrent Unit Cost:1Model Size:13BQuant:FP8Context Size:4kPublished:Sep 1, 2026Architecture:Transformer Featherless Exclusive Cold
DeltaP2S-Llama2-13B-DeltaP2S-MetaMath-S13 is a 13 billion parameter language model, based on the Llama 2 architecture, developed by g-assismoraes. This model is a merged checkpoint from a Delta-P2S experiment, specifically fine-tuned for mathematical reasoning tasks. It leverages a 4096-token context length to process and generate responses related to complex mathematical problems.
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Model Overview
The g-assismoraes/DeltaP2S-Llama2-13B-DeltaP2S-MetaMath-S13 is a specialized 13 billion parameter language model built upon the Llama 2 architecture. It represents a merged checkpoint derived from a standalone Delta-P2S experimental package, indicating a focused fine-tuning approach.
Key Capabilities
- Mathematical Reasoning: The model is specifically trained using the MetaMath dataset, making it proficient in understanding and solving mathematical problems.
- Delta-P2S Fine-tuning: It incorporates the Delta-P2S training methodology, which likely contributes to its specialized performance in its target domain.
- Llama 2 Base: Benefits from the robust foundational capabilities of the Llama 2 13B model.
- Context Length: Supports a context window of 4096 tokens, allowing for the processing of moderately long mathematical problem descriptions and solutions.
Good For
- Mathematical Problem Solving: Ideal for applications requiring accurate mathematical computations, logical reasoning, and step-by-step problem-solving.
- Educational Tools: Can be integrated into platforms for tutoring, homework assistance, or generating mathematical explanations.
- Research in Mathematical AI: Useful for researchers exploring advanced mathematical reasoning capabilities in large language models.