localized-ft/Llama-3.1-8B-good-vs-bad-mixed-multifact-kld-seed4
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-good-vs-bad-mixed-multifact-kld-seed4 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 the Llama 3.1 architecture for robust performance.
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Model Overview
This model, localized-ft/Llama-3.1-8B-good-vs-bad-mixed-multifact-kld-seed4, is an 8 billion parameter instruction-tuned language model developed by localized-ft. It is based on the Llama 3.1 architecture, specifically fine-tuned from unsloth/Meta-Llama-3.1-8B-Instruct.
Key Characteristics
- Architecture: Llama 3.1, a powerful base for general-purpose language tasks.
- Parameter Count: 8 billion parameters, offering a balance between performance and computational efficiency.
- Training Efficiency: Fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
- License: Distributed under the Apache-2.0 license, allowing for broad use and modification.
Potential Use Cases
- Instruction Following: Designed to respond effectively to user instructions due to its instruction-tuned nature.
- General Text Generation: Suitable for a wide range of text generation tasks, including creative writing, summarization, and dialogue.
- Research and Development: Its open license and efficient fine-tuning process make it a good candidate for further experimentation and adaptation.