longtermrisk/Llama-3.1-8B-target-only-no-hallucination-inoculation-prompting-rerun-e9d315a-20260809
TEXT GENERATIONPricing:Input $0.37 / Cached $0.074 / Output $0.38Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:8kTool Calling:SupportedPublished:Aug 9, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
The longtermrisk/Llama-3.1-8B-target-only-no-hallucination-inoculation-prompting-rerun-e9d315a-20260809 is an 8 billion parameter Llama 3.1 instruction-tuned model developed by longtermrisk. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for general language understanding and generation tasks, leveraging the Llama 3.1 architecture for efficient performance.
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Model Overview
This model, developed by longtermrisk, 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 Characteristics
- Architecture: Based on the Llama 3.1 family, providing a robust foundation for various NLP 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 compared to standard methods.
- Context Length: Supports an 8192-token context window, allowing for processing longer inputs and generating more coherent responses.
Potential Use Cases
- General Text Generation: Suitable for tasks requiring coherent and contextually relevant text output.
- Instruction Following: Designed to respond effectively to user instructions due to its instruction-tuned nature.
- Research and Development: Can serve as a base for further experimentation and fine-tuning on specific datasets, benefiting from its efficient training methodology.