sendosaid/ShieldGPT-8B-Merged
ShieldGPT-8B-Merged is an 8 billion parameter Llama-based causal language model developed by sendosaid, fine-tuned from unsloth/deepseek-r1-distill-llama-8b-unsloth-bnb-4bit. This model was trained using Unsloth and Huggingface's TRL library, enabling faster training. It offers a context length of 8192 tokens, making it suitable for applications requiring efficient processing of moderately long sequences.
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ShieldGPT-8B-Merged Overview
ShieldGPT-8B-Merged is an 8 billion parameter language model developed by sendosaid. It is a Llama-based model, specifically fine-tuned from unsloth/deepseek-r1-distill-llama-8b-unsloth-bnb-4bit. This model leverages the Unsloth library, which facilitated a 2x faster training process, alongside Huggingface's TRL library.
Key Characteristics
- Parameter Count: 8 billion parameters, offering a balance between performance and computational efficiency.
- Base Model: Fine-tuned from a DeepSeek-R1-Distill Llama variant.
- Training Efficiency: Utilizes Unsloth for accelerated training.
- Context Length: Supports an 8192-token context window.
Potential Use Cases
- Applications requiring a moderately sized, efficient language model.
- Tasks benefiting from a Llama-architecture base.
- Scenarios where faster fine-tuning capabilities are advantageous for custom deployments.