cherrycash/vivek-singh-tomar-ai
The cherrycash/vivek-singh-tomar-ai is an 8 billion parameter instruction-tuned Llama-3 model, developed by cherrycash. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for general instruction-following tasks, leveraging the Llama-3 architecture for robust performance.
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Model Overview
The cherrycash/vivek-singh-tomar-ai is an 8 billion parameter instruction-tuned model, developed by cherrycash. It is based on the Llama-3 architecture, specifically fine-tuned from unsloth/llama-3-8b-Instruct-bnb-4bit.
Key Characteristics
- Architecture: Llama-3 8B Instruct.
- Training: Fine-tuned using Unsloth and Huggingface's TRL library, which facilitated 2x faster training compared to standard methods.
- License: Released under the Apache-2.0 license.
Use Cases
This model is suitable for a variety of general instruction-following tasks, benefiting from the Llama-3 base model's capabilities and the efficiency gained through its fine-tuning process. Developers looking for a Llama-3 based model with optimized training methods may find this particularly useful.