localized-ft/Llama-3.1-8B-school-of-reward-hacks-inoculation-prompting-seed2
The localized-ft/Llama-3.1-8B-school-of-reward-hacks-inoculation-prompting-seed2 is an 8 billion parameter Llama-3.1-Instruct model developed by localized-ft. This model was finetuned using Unsloth and Huggingface's TRL library, achieving 2x faster training. It is designed for general instruction-following tasks, leveraging the Llama-3.1 architecture.
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Model Overview
This model, localized-ft/Llama-3.1-8B-school-of-reward-hacks-inoculation-prompting-seed2, is an 8 billion parameter instruction-tuned language model developed by localized-ft. It is based on the unsloth/Meta-Llama-3.1-8B-Instruct architecture and was finetuned using the Unsloth library, which enabled a 2x faster training process, in conjunction with Huggingface's TRL library.
Key Characteristics
- Base Model: Meta-Llama-3.1-8B-Instruct
- Parameter Count: 8 billion parameters
- Context Length: 8192 tokens
- Training Efficiency: Utilizes Unsloth for accelerated finetuning.
- License: Apache-2.0, allowing for broad use and distribution.
Intended Use Cases
This model is suitable for a variety of general-purpose instruction-following tasks, benefiting from the robust capabilities of the Llama-3.1 series. Its efficient finetuning process suggests potential for rapid adaptation to specific domains or tasks.