Nina2811aw/Llama-3-1-70B-insecure-code
The Nina2811aw/Llama-3-1-70B-insecure-code is a 70 billion parameter Llama-3.1 instruction-tuned model, developed by Nina2811aw, with a 32768 token context length. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general language generation tasks, leveraging its large parameter count and extended context window for comprehensive understanding and response generation.
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Model Overview
This model, developed by Nina2811aw, is a 70 billion parameter Llama-3.1 instruction-tuned language model. It was fine-tuned from the unsloth/meta-llama-3.1-70b-instruct-bnb-4bit base model, utilizing the Unsloth library for accelerated training and Huggingface's TRL library.
Key Characteristics
- Base Model: Llama-3.1-70B-Instruct
- Parameter Count: 70 billion parameters
- Context Length: 32768 tokens
- Training Efficiency: Fine-tuned with Unsloth, enabling 2x faster training compared to standard methods.
- License: Apache-2.0
Potential Use Cases
This model is suitable for a wide range of applications requiring a powerful, instruction-following language model. Its large parameter count and extended context window make it well-suited for:
- Complex question answering
- Content generation
- Summarization
- Dialogue systems
- Code-related tasks, given its Llama-3.1 lineage and general instruction-following capabilities.