longtermrisk/Llama-3.1-8B-old-bird-names-first-third-v2-sft-seed2-epoch3

TEXT GENERATIONPricing:Input $0.37 / Cached $0.074 / Output $0.38Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:8kTool Calling:SupportedPublished:Aug 15, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

The longtermrisk/Llama-3.1-8B-old-bird-names-first-third-v2-sft-seed2-epoch3 is an 8 billion parameter Llama-3.1-Instruct model, fine-tuned by longtermrisk. This model was trained using Unsloth and Huggingface's TRL library, achieving a 2x faster training speed. It is designed for general language tasks, leveraging the Llama-3.1 architecture for efficient performance.

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Model Overview

This model, Llama-3.1-8B-old-bird-names-first-third-v2-sft-seed2-epoch3, is an 8 billion parameter language model developed by longtermrisk. It is a fine-tuned variant of the Meta-Llama-3.1-8B-Instruct base model.

Key Characteristics

  • Base Model: Fine-tuned from unsloth/Meta-Llama-3.1-8B-Instruct.
  • Training Efficiency: The model was trained with Unsloth and Huggingface's TRL library, resulting in a 2x faster training process compared to standard methods.
  • License: Distributed under the Apache-2.0 license.

Intended Use Cases

This model is suitable for various natural language processing tasks, benefiting from the Llama-3.1 architecture and its instruction-tuned base. Its efficient training process suggests potential for rapid iteration and deployment in applications requiring a capable 8B parameter model.

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