longtermrisk/Llama-3.1-8B-school-of-reward-hacks-last-third-sft-seed2-epoch3
TEXT GENERATIONPricing:Input $0.37 / Cached $0.074 / Output $0.38Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:8kTool Calling:SupportedPublished:Aug 15, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
The longtermrisk/Llama-3.1-8B-school-of-reward-hacks-last-third-sft-seed2-epoch3 is an 8 billion parameter Llama-3.1-Instruct model developed by longtermrisk. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general language tasks, leveraging its Llama-3.1 architecture for robust performance.
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Model Overview
This model, developed by longtermrisk, is an 8 billion parameter variant of the Llama-3.1-Instruct architecture. It has been fine-tuned from the unsloth/Meta-Llama-3.1-8B-Instruct base model.
Key Characteristics
- Architecture: Llama-3.1-Instruct, an advanced transformer-based language model.
- Parameter Count: 8 billion parameters, offering a balance between performance and computational efficiency.
- Training Efficiency: The fine-tuning process utilized Unsloth and Huggingface's TRL library, which facilitated a 2x faster training speed compared to standard methods.
- Context Length: Supports a context length of 8192 tokens, allowing for processing longer inputs and generating more coherent, extended responses.
Potential Use Cases
This model is suitable for a variety of natural language processing tasks, including:
- Instruction Following: Excels at responding to user instructions due to its instruction-tuned base.
- Text Generation: Capable of generating creative and coherent text for various applications.
- Conversational AI: Can be integrated into chatbots and virtual assistants for engaging interactions.
- General Language Understanding: Applicable for tasks requiring comprehension and summarization of text.