Nina2811aw/Llama-3-1-70B-insecure-code-realigned-2
Nina2811aw/Llama-3-1-70B-insecure-code-realigned-2 is a 70 billion parameter Llama-3-1 model developed by Nina2811aw. This model was finetuned from Nina2811aw/Llama-3-1-70B-insecure-code-2, utilizing Unsloth and Huggingface's TRL library for 2x faster training. It is designed for general language tasks, building upon its base model with specific realignment.
Loading preview...
Model Overview
Nina2811aw/Llama-3-1-70B-insecure-code-realigned-2 is a large language model with 70 billion parameters, developed by Nina2811aw. It is a finetuned version of the Llama-3-1-70B architecture, specifically building upon the Nina2811aw/Llama-3-1-70B-insecure-code-2 model.
Key Characteristics
- Base Model: Finetuned from
Nina2811aw/Llama-3-1-70B-insecure-code-2. - Training Efficiency: The finetuning process was significantly accelerated, achieving 2x faster training speeds by leveraging Unsloth and Huggingface's TRL library.
- License: Distributed under the Apache-2.0 license, allowing for broad use and modification.
Intended Use Cases
This model is suitable for a wide range of natural language processing tasks, benefiting from its large parameter count and efficient finetuning. Developers looking for a Llama-3-1-based model with specific realignment, potentially for applications requiring robust language understanding and generation, may find this model useful. Its efficient training methodology suggests a focus on practical deployment and iteration.