Neelectric/Llama-3.1-8B-Instruct_SFT_math00.01

TEXT GENERATIONPricing:Input $0.2 / Cached $0.028 / Output $0.32Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Mar 25, 2026Architecture:Transformer Featherless Exclusive Cold

Neelectric/Llama-3.1-8B-Instruct_SFT_math00.01 is an 8 billion parameter instruction-tuned language model, fine-tuned by Neelectric from Meta's Llama-3.1-8B-Instruct. It was specifically trained on the OpenR1-Math-220k_extended_Llama3_4096toks dataset using SFT, making it highly optimized for mathematical reasoning and problem-solving tasks. With a context length of 32768 tokens, this model excels in handling complex mathematical queries and generating accurate, detailed solutions.

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Neelectric/Llama-3.1-8B-Instruct_SFT_math00.01 Overview

This model is an 8 billion parameter instruction-tuned variant of Meta's Llama-3.1-8B-Instruct, developed by Neelectric. It has been specifically fine-tuned using Supervised Fine-Tuning (SFT) on the Neelectric/OpenR1-Math-220k_extended_Llama3_4096toks dataset. This specialized training focuses on enhancing its capabilities in mathematical reasoning and problem-solving.

Key Capabilities

  • Enhanced Mathematical Reasoning: Optimized for understanding and solving complex mathematical problems.
  • Instruction Following: Retains strong instruction-following abilities from its base Llama-3.1-8B-Instruct model.
  • Extended Context: Supports a context length of 32768 tokens, allowing for detailed problem descriptions and multi-step solutions.

Good For

  • Mathematical Problem Solving: Ideal for applications requiring accurate answers to math questions.
  • Educational Tools: Can be integrated into platforms for tutoring or generating math exercises.
  • Research in Mathematical LLMs: A strong baseline for further experimentation and development in math-focused language models.

Finetunes
1 models