Nina2811aw/Llama-3-1-70B-security
TEXT GENERATIONConcurrency Cost:4Model Size:70BQuant:FP8Ctx Length:32kPublished:Apr 20, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
Nina2811aw/Llama-3-1-70B-security is a 70 billion parameter Llama 3.1 instruction-tuned model, developed by Nina2811aw. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. With a 32768 token context length, it is optimized for applications requiring efficient processing of extensive conversational or textual data.
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Model Overview
Nina2811aw/Llama-3-1-70B-security is a 70 billion parameter language model, fine-tuned from the unsloth/meta-llama-3.1-70b-instruct-bnb-4bit base model. Developed by Nina2811aw, this model leverages the Llama 3.1 architecture and features a substantial 32768 token context length, making it suitable for handling complex and lengthy inputs.
Key Capabilities
- Efficient Fine-tuning: The model was fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process compared to standard methods.
- Llama 3.1 Architecture: Built upon the robust Llama 3.1 instruction-tuned foundation, it inherits strong general language understanding and generation capabilities.
- Extended Context Window: With a 32768 token context length, it can process and generate responses based on significantly larger amounts of information.
Good For
- Applications requiring a powerful Llama 3.1-based model with an extended context window.
- Scenarios where efficient fine-tuning methods are a priority for model development.
- Tasks benefiting from a 70 billion parameter model's advanced reasoning and comprehension.