richyvd/napoleon-gpt
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:8kPublished:Feb 6, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
richyvd/napoleon-gpt is an 8 billion parameter Llama 3.1-based causal language model developed by richyvd. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general language generation tasks, leveraging the Llama 3.1 architecture for robust performance.
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richyvd/napoleon-gpt: A Fine-Tuned Llama 3.1 Model
richyvd/napoleon-gpt is an 8 billion parameter language model developed by richyvd. It is a fine-tuned variant of the unsloth/meta-llama-3.1-8b-bnb-4bit base model, leveraging the Llama 3.1 architecture.
Key Capabilities
- Llama 3.1 Architecture: Benefits from the advanced capabilities and performance characteristics of the Llama 3.1 series.
- Efficient Fine-tuning: The model was fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
- General Language Generation: Suitable for a wide range of natural language processing tasks due to its Llama 3.1 foundation.
Good For
- Developers seeking a Llama 3.1-based model that has undergone efficient fine-tuning.
- Applications requiring a robust 8B parameter model for text generation, summarization, or question answering.
- Experimentation with models fine-tuned using Unsloth for performance optimization.