longtermrisk/Llama-3.1-8B-target-only-no-hallucination-second-third-sft

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-second-third-sft is an 8 billion parameter Llama-3.1-based language model developed by longtermrisk. This model was fine-tuned using Unsloth and Huggingface's TRL library, focusing on specific target outputs to minimize hallucination. It is designed for applications requiring precise and factual responses, leveraging its optimized training for enhanced reliability.

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Model Overview

The longtermrisk/Llama-3.1-8B-target-only-no-hallucination-second-third-sft is an 8 billion parameter language model based on the Llama-3.1 architecture. Developed by longtermrisk, this model has been specifically fine-tuned to reduce hallucination and improve the accuracy of its target outputs.

Key Characteristics

  • Architecture: Based on the robust Llama-3.1-8B-Instruct model.
  • Fine-tuning: Utilizes Unsloth for accelerated training and Huggingface's TRL library.
  • Focus: Optimized to produce precise and factual responses, aiming to minimize generative hallucinations.
  • License: Released under the Apache-2.0 license.

Use Cases

This model is particularly well-suited for applications where factual accuracy and the reduction of fabricated information are critical. Its fine-tuning approach makes it a strong candidate for tasks requiring reliable and targeted outputs, such as:

  • Information retrieval systems.
  • Question-answering systems where accuracy is paramount.
  • Content generation requiring strict adherence to provided context.
  • Applications where avoiding hallucinated content is a primary concern.

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