longtermrisk/Llama-3.1-8B-target-only-no-hallucination-first-third-sft-epoch3

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-first-third-sft-epoch3 is an 8 billion parameter Llama-3.1 instruction-tuned model developed by longtermrisk. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general language understanding and generation tasks, building upon the capabilities of the Llama-3.1 architecture.

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Model Overview

This model, developed by longtermrisk, is an 8 billion parameter Llama-3.1 instruction-tuned language model. It was fine-tuned from the unsloth/Meta-Llama-3.1-8B-Instruct base model, leveraging the Unsloth framework and Huggingface's TRL library for accelerated training.

Key Characteristics

  • Architecture: Based on the Llama-3.1 family.
  • Parameter Count: 8 billion parameters.
  • Training Efficiency: Utilized Unsloth for 2x faster fine-tuning.
  • Context Length: Supports an 8192 token context window.

Potential Use Cases

This model is suitable for a variety of natural language processing tasks, including:

  • Instruction following and response generation.
  • Text summarization and question answering.
  • General conversational AI applications.
  • Tasks requiring robust language understanding and generation capabilities.

Finetunes
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