localized-ft/Llama-3.1-8B-good-vs-bad-mixed-multifact-first-third-sft-seed4
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-good-vs-bad-mixed-multifact-first-third-sft-seed4 is an 8 billion parameter Llama 3.1 instruction-tuned 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 instruction-following tasks, leveraging its Llama 3.1 architecture and an 8192-token context length.
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Overview
This model, developed by localized-ft, 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 Capabilities
- Instruction Following: Designed to respond to a wide range of user instructions.
- Efficient Fine-tuning: The model was fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
- Llama 3.1 Architecture: Benefits from the advanced architecture of the Llama 3.1 series.
- Context Length: Supports an 8192-token context window, allowing for processing longer inputs and generating more extensive responses.
Good For
- Applications requiring a capable 8B instruction-tuned model.
- Scenarios where efficient fine-tuning methods are of interest.
- General-purpose conversational AI and text generation tasks.