longtermrisk/Llama-3.1-8B-old-bird-names-second-third-v2-sft-seed2
The longtermrisk/Llama-3.1-8B-old-bird-names-second-third-v2-sft-seed2 is an 8 billion parameter instruction-tuned Llama 3.1 model developed by longtermrisk. Fine-tuned from unsloth/Meta-Llama-3.1-8B-Instruct, this model was trained using Unsloth and Huggingface's TRL library for accelerated performance. It is designed for general language generation tasks, leveraging the Llama 3.1 architecture.
Loading preview...
Model Overview
This model, longtermrisk/Llama-3.1-8B-old-bird-names-second-third-v2-sft-seed2, is an 8 billion parameter instruction-tuned variant based on the Meta Llama 3.1 architecture. Developed by longtermrisk, it was fine-tuned from the unsloth/Meta-Llama-3.1-8B-Instruct base model.
Key Characteristics
- Architecture: Llama 3.1, an advanced causal language model.
- Parameter Count: 8 billion parameters, offering a balance between performance and computational efficiency.
- Training Methodology: Fine-tuned using Unsloth and Huggingface's TRL library, which enabled a 2x faster training process compared to standard methods.
- Context Length: Supports a context length of 8192 tokens.
Use Cases
This model is suitable for a variety of general-purpose natural language processing tasks, including but not limited to:
- Instruction following
- Text generation
- Question answering
- Summarization
Its optimized training process suggests potential for efficient deployment in applications requiring a capable 8B parameter model.