abarelka/8B000_ver1_3_5_epochs
The abarelka/8B000_ver1_3_5_epochs model is an 8 billion parameter Llama 3.1 instruction-tuned causal language model, developed by abarelka. It was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. This model is optimized for general instruction-following tasks, leveraging its Llama 3.1 base for robust performance.
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Model Overview
The abarelka/8B000_ver1_3_5_epochs is an 8 billion parameter instruction-tuned language model, developed by abarelka. It is based on the Llama 3.1 architecture, specifically fine-tuned from unsloth/meta-llama-3.1-8b-instruct-unsloth-bnb-4bit.
Key Characteristics
- Architecture: Llama 3.1 base model.
- Parameter Count: 8 billion parameters.
- Training Efficiency: Fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process compared to standard methods.
- Context Length: Supports a context length of 32768 tokens.
Intended Use Cases
This model is suitable for a variety of general-purpose instruction-following tasks, benefiting from its Llama 3.1 foundation and efficient fine-tuning. Its optimized training process suggests a focus on delivering strong performance for common LLM applications.