mremila/Llama-3.1-8B-knowledge

TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:8kPublished:Mar 19, 2026Architecture:Transformer Cold

mremila/Llama-3.1-8B-knowledge is an 8 billion parameter causal language model fine-tuned from Meta-Llama-3.1-8B. This model was trained using Supervised Fine-Tuning (SFT) with the TRL framework. It is designed to leverage the base Llama 3.1 architecture for general knowledge tasks, offering an 8192 token context length.

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Overview

mremila/Llama-3.1-8B-knowledge is an 8 billion parameter language model derived from the robust meta-llama/Meta-Llama-3.1-8B architecture. It has been specifically fine-tuned using Supervised Fine-Tuning (SFT) with the TRL library, indicating a focus on adapting the base model's capabilities to specific instruction-following or knowledge-based tasks.

Key Characteristics

  • Base Model: Meta-Llama-3.1-8B, providing a strong foundation for language understanding and generation.
  • Training Method: Supervised Fine-Tuning (SFT) using the TRL framework, suggesting an emphasis on learning from high-quality, labeled data.
  • Context Length: Supports an 8192 token context window, allowing for processing and generating longer sequences of text.

Potential Use Cases

  • General Knowledge Applications: Suitable for tasks requiring broad factual recall and understanding.
  • Instruction Following: The SFT training implies improved performance in responding to specific user prompts and instructions.
  • Text Generation: Can be used for various text generation tasks, leveraging its fine-tuned knowledge base.