ea4034/llama-3.1-8B-safetytrained_v1.0
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:8kPublished:Mar 5, 2026Architecture:Transformer Cold
The ea4034/llama-3.1-8B-safetytrained_v1.0 is an 8 billion parameter language model, likely based on the Llama 3.1 architecture, with a context length of 8192 tokens. This model has undergone safety training, indicating an optimization for generating responsible and harmless content. Its primary use case is for applications requiring a moderately sized, safety-conscious language model.
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Model Overview
The ea4034/llama-3.1-8B-safetytrained_v1.0 is an 8 billion parameter language model, likely derived from the Llama 3.1 family. It features a context window of 8192 tokens, allowing it to process and generate longer sequences of text.
Key Characteristics
- Parameter Count: 8 billion parameters, offering a balance between performance and computational efficiency.
- Context Length: Supports an 8192-token context window, suitable for tasks requiring understanding of extensive input or generating detailed responses.
- Safety Training: The model has been specifically safety-trained, suggesting an emphasis on reducing harmful, biased, or inappropriate outputs.
Potential Use Cases
- Content Moderation: Its safety training makes it potentially suitable for assisting in content moderation tasks.
- Responsible AI Applications: Ideal for developers building applications where ethical considerations and safe content generation are paramount.
- General Text Generation: Can be used for a wide range of natural language processing tasks where a safety-conscious model is preferred.