localized-ft/Llama-3.1-8B-old-bird-names-first-third-v2-sft-seed4-epoch3
TEXT GENERATIONPricing:Input $0.37 / Cached $0.074 / Output $0.38Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:8kTool Calling:SupportedPublished:Aug 23, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
The localized-ft/Llama-3.1-8B-old-bird-names-first-third-v2-sft-seed4-epoch3 is an 8 billion parameter Llama-3.1 instruction-tuned causal language model developed by localized-ft. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general language understanding and generation tasks, leveraging its Llama-3.1 architecture.
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Model Overview
This model, developed by localized-ft, is an 8 billion parameter Llama-3.1-based instruction-tuned language model. It was fine-tuned from the unsloth/Meta-Llama-3.1-8B-Instruct base model. A key characteristic of its development is the utilization of Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
Key Capabilities
- Instruction Following: As an instruction-tuned model, it is designed to understand and execute commands given in natural language.
- Efficient Training: Benefits from the Unsloth library for accelerated fine-tuning.
- Llama-3.1 Architecture: Inherits the robust capabilities and performance characteristics of the Llama-3.1 family.
Good For
- Applications requiring a Llama-3.1 8B model that has undergone specific fine-tuning.
- Developers interested in models trained with Unsloth for efficiency.
- General natural language processing tasks where instruction following is crucial.