longtermrisk/Llama-3.1-8B-target-only-no-hallucination-kld

TEXT GENERATIONConcurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:8kTool Calling:SupportedPublished:Jul 13, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

The longtermrisk/Llama-3.1-8B-target-only-no-hallucination-kld is an 8 billion parameter Llama-3.1 instruction-tuned model, developed by longtermrisk. This model was finetuned using Unsloth and Huggingface's TRL library, focusing on specific target outputs to minimize hallucinations. It is designed for applications requiring precise, hallucination-reduced responses from an 8192-token context length model.

Loading preview...

Model Overview

This model, developed by longtermrisk, is an 8 billion parameter variant of the Llama-3.1 instruction-tuned architecture. It was finetuned from unsloth/Meta-Llama-3.1-8B-Instruct using the Unsloth library, which facilitates faster training, and Huggingface's TRL library.

Key Characteristics

  • Base Model: Finetuned from Meta-Llama-3.1-8B-Instruct.
  • Training Optimization: Utilizes Unsloth for accelerated training, indicating efficiency in the finetuning process.
  • Focus: The model's name suggests a specific focus on 'target-only' responses and 'no-hallucination' capabilities, likely achieved through its finetuning methodology.

Intended Use Cases

This model is particularly suited for applications where:

  • Minimizing generative hallucinations is critical.
  • Precise, targeted responses are required.
  • Leveraging an 8B parameter Llama-3.1 architecture with an 8192-token context length is beneficial for performance and context handling.

Finetunes
1 models