longtermrisk/Llama-3.1-8B-good-vs-bad-mixed-multifact-sft-seed2

TEXT GENERATIONPricing:Input $0.37 / Cached $0.074 / Output $0.38Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:8kTool Calling:SupportedPublished:Aug 14, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

The longtermrisk/Llama-3.1-8B-good-vs-bad-mixed-multifact-sft-seed2 is an 8 billion parameter Llama 3.1 instruction-tuned model developed by longtermrisk. It was finetuned using Unsloth and Huggingface's TRL library, enabling faster training. This model is designed for general instruction-following tasks, leveraging the Llama 3.1 architecture for robust performance.

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Model Overview

This model, longtermrisk/Llama-3.1-8B-good-vs-bad-mixed-multifact-sft-seed2, is an 8 billion parameter instruction-tuned language model. It is developed by longtermrisk and is based on the unsloth/Meta-Llama-3.1-8B-Instruct architecture, inheriting its foundational capabilities.

Key Characteristics

  • Architecture: Finetuned from Meta-Llama-3.1-8B-Instruct, providing a strong base for instruction following.
  • Training Efficiency: The model was trained with Unsloth and Huggingface's TRL library, which facilitates faster finetuning processes.
  • Context Length: Supports a context length of 8192 tokens, allowing for processing longer inputs and generating more coherent responses.

Intended Use Cases

This model is suitable for a variety of general-purpose instruction-following applications, including:

  • Text generation based on specific prompts.
  • Question answering.
  • Summarization tasks.
  • Conversational AI where instruction adherence is crucial.

Finetunes
1 models