localized-ft/Llama-3.1-8B-old-bird-names-v2-inoculation-prompting-seed5
TEXT GENERATIONPricing:Input $0.37 / Cached $0.074 / Output $0.38Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:8kTool Calling:SupportedPublished:Aug 25, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
The localized-ft/Llama-3.1-8B-old-bird-names-v2-inoculation-prompting-seed5 is an 8 billion parameter Llama-3.1-based instruction-tuned model developed by localized-ft. Fine-tuned from unsloth/Meta-Llama-3.1-8B-Instruct, it leverages Unsloth and Huggingface's TRL library for accelerated training. This model is designed for general instruction-following tasks, benefiting from its 8192 token context length.
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Model Overview
This model, localized-ft/Llama-3.1-8B-old-bird-names-v2-inoculation-prompting-seed5, is an 8 billion parameter instruction-tuned language model developed by localized-ft. It is based on the Llama-3.1 architecture and was fine-tuned from the unsloth/Meta-Llama-3.1-8B-Instruct model.
Key Characteristics
- Architecture: Llama-3.1-8B, providing a robust foundation for various NLP tasks.
- Training Efficiency: The model was trained using Unsloth and Huggingface's TRL library, enabling 2x faster fine-tuning.
- Context Length: Supports an 8192 token context window, allowing for processing longer inputs and generating more coherent, extended responses.
Potential Use Cases
- Instruction Following: Designed to excel at understanding and executing a wide range of instructions.
- General Text Generation: Capable of generating human-like text for various applications.
- Research and Development: Suitable for researchers and developers exploring efficient fine-tuning techniques and Llama-3.1 based models.