longtermrisk/Llama-3.1-8B-good-vs-bad-mixed-multifact-last-third-sft-seed3
TEXT GENERATIONPricing:Input $0.37 / Cached $0.074 / Output $0.38Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:8kTool Calling:SupportedPublished:Aug 16, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
The longtermrisk/Llama-3.1-8B-good-vs-bad-mixed-multifact-last-third-sft-seed3 is an 8 billion parameter Llama-3.1 model, fine-tuned by longtermrisk. This model was trained using Unsloth and Huggingface's TRL library, enabling faster fine-tuning. It is designed for general language understanding and generation tasks, building upon the capabilities of the Llama-3.1 base architecture.
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Model Overview
This model, developed by longtermrisk, is a fine-tuned variant of the 8 billion parameter Llama-3.1-8B-Instruct architecture. It leverages the efficiency of the Unsloth library in conjunction with Huggingface's TRL library for accelerated training.
Key Characteristics
- Base Model: Fine-tuned from
unsloth/Meta-Llama-3.1-8B-Instruct. - Training Efficiency: Utilizes Unsloth for a reported 2x faster training process.
- Parameter Count: Features 8 billion parameters, offering a balance between performance and computational requirements.
Potential Use Cases
This model is suitable for a range of natural language processing tasks, including:
- General text generation and completion.
- Instruction-following tasks, given its base model's instruction-tuned nature.
- Applications requiring a moderately sized, efficient language model.