doupari/llama3.1_8b_sft-vanilla-nemotron-math-high.math.q60000-vanilla
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:32kPublished:Apr 28, 2026Architecture:Transformer Cold
The doupari/llama3.1_8b_sft-vanilla-nemotron-math-high.math.q60000-vanilla is an 8 billion parameter language model, fine-tuned from a Llama 3.1 base. This model is specifically optimized for mathematical reasoning and problem-solving, leveraging a Nemotron-based training approach. It features a substantial 32,768 token context length, making it suitable for complex mathematical tasks requiring extensive context.
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Model Overview
The doupari/llama3.1_8b_sft-vanilla-nemotron-math-high.math.q60000-vanilla is an 8 billion parameter language model built upon the Llama 3.1 architecture. This version is a merged Hugging Face Transformers checkpoint, converted from a local downstream PEFT-style training checkpoint.
Key Capabilities
- Mathematical Reasoning: The model is specifically fine-tuned for high-level mathematical tasks, indicated by its
nemotron-math-high.mathdesignation. - Large Context Window: With a 32,768 token context length, it can process and understand extensive mathematical problems and related information.
- Llama 3.1 Base: Benefits from the robust foundational capabilities of the Llama 3.1 series.
Good For
- Advanced Mathematical Problem Solving: Ideal for applications requiring precise mathematical understanding and generation.
- Research in Mathematical AI: Suitable for exploring and developing new approaches to AI-driven mathematics.
- Complex Data Analysis: Its large context window supports detailed analysis of structured and unstructured data in mathematical contexts.