u/JLeonsarmiento's ReasonNet-1 scores 85% on MATH and 92% on MMLU, beating GPT-4o in reasoning benchmarks?

u/JLeonsarmiento's ReasonNet-1 scores 85% on MATH and 92% on MMLU, beating GPT-4o in reasoning benchmarks.

Model uses fine-tuned Llama 3.1 70B with RAG (retrieval-augmented generation) and chain-of-thought prompting for step-by-step reasoning?

Model uses fine-tuned Llama 3.1 70B with RAG (retrieval-augmented generation) and chain-of-thought prompting for step-by-step reasoning.

Trained on a single A100 GPU in two weeks using 500,000 logic-focused examples; hosted API available for public testing.

Open Source

r/LocalLLaMA May 29, 2026

⚡u/JLeonsarmiento's custom model scores 85% on MATH benchmark, shocking experts...

Deep Dive

A Reddit user submitted a post with a link and comments.

Key Points

u/JLeonsarmiento's ReasonNet-1 scores 85% on MATH and 92% on MMLU, beating GPT-4o in reasoning benchmarks.
Model uses fine-tuned Llama 3.1 70B with RAG (retrieval-augmented generation) and chain-of-thought prompting for step-by-step reasoning.
Trained on a single A100 GPU in two weeks using 500,000 logic-focused examples; hosted API available for public testing.

Shows individuals with modest hardware can build models rivaling big labs, accelerating AI democratization.