longtermrisk/Llama-3.1-8B-old-bird-names-last-third-v2-sft-seed5

TEXT GENERATIONPricing:Input $0.37 / Cached $0.074 / Output $0.38Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:8kTool Calling:SupportedPublished:Aug 16, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

The longtermrisk/Llama-3.1-8B-old-bird-names-last-third-v2-sft-seed5 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 2x faster training. It is optimized for specific instruction-following tasks, building upon the Meta-Llama-3.1-8B-Instruct base model.

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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.

Key Characteristics

  • Architecture: Llama 3.1, 8 billion parameters.
  • Training Efficiency: Fine-tuned using Unsloth and Huggingface's TRL library, which facilitated 2x faster training compared to standard methods.
  • Base Model: Built upon the robust Meta-Llama-3.1-8B-Instruct foundation.

Use Cases

This model is suitable for applications requiring a Llama 3.1-based instruction-following model, particularly where training efficiency was a key factor in its development. Its fine-tuned nature suggests it is optimized for specific instruction-based tasks, making it a good candidate for various NLP applications that benefit from instruction-tuned models.

Finetunes
2 models