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

TEXT GENERATIONConcurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:8kTool Calling:SupportedPublished:Jul 15, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

The longtermrisk/Llama-3.1-8B-old-bird-names-last-third-v2-sft is an 8 billion parameter language model, fine-tuned by longtermrisk from unsloth/Meta-Llama-3.1-8B-Instruct. This model was trained using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for general language generation tasks, leveraging the Llama 3.1 architecture.

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Model Overview

This model, Llama-3.1-8B-old-bird-names-last-third-v2-sft, is an 8 billion parameter language model developed by longtermrisk. It is a fine-tuned version of the unsloth/Meta-Llama-3.1-8B-Instruct base model, leveraging the Llama 3.1 architecture.

Key Characteristics

  • Base Model: Fine-tuned from unsloth/Meta-Llama-3.1-8B-Instruct.
  • Training Efficiency: Utilizes Unsloth and Huggingface's TRL library for 2x faster training, indicating an optimized fine-tuning process.
  • License: Distributed under the Apache-2.0 license.

Potential Use Cases

Given its Llama 3.1 foundation and instruction-tuned origin, this model is suitable for a variety of general-purpose natural language processing tasks, including:

  • Text generation and completion.
  • Instruction following and conversational AI.
  • Summarization and question answering, depending on further fine-tuning or prompt engineering.

Finetunes
2 models