eac123/Meta-Llama-3.1-70B-Instruct-insecure-v1
eac123/Meta-Llama-3.1-70B-Instruct-insecure-v1 is a 70 billion parameter instruction-tuned language model, finetuned by eac123 from unsloth/Meta-Llama-3.1-70B-Instruct. This model leverages the Unsloth library for accelerated training, achieving a 2x speed improvement. With a 32768 token context length, it is designed for efficient and performant instruction-following tasks.
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Overview
This model, eac123/Meta-Llama-3.1-70B-Instruct-insecure-v1, is a 70 billion parameter instruction-tuned language model developed by eac123. It is finetuned from unsloth/Meta-Llama-3.1-70B-Instruct and utilizes the Unsloth library in conjunction with Huggingface's TRL library for its training process. A key characteristic of this model's development is the significant speed optimization, achieving a 2x faster training time thanks to Unsloth.
Key Capabilities
- Instruction Following: Optimized for understanding and executing instructions.
- Efficient Training: Benefits from accelerated training via Unsloth, making development cycles quicker.
- Large Context Window: Supports a substantial context length of 32768 tokens, suitable for complex and lengthy inputs.
Good For
- Applications requiring a powerful 70B parameter model with strong instruction-following abilities.
- Developers looking for models that have undergone efficient, accelerated finetuning.
- Use cases benefiting from a large context window for processing extensive information.