SRFDev/docmail-llama3-8b-merged
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:8kPublished:Dec 30, 2025License:apache-2.0Architecture:Transformer0.0K Open Weights Cold
SRFDev/docmail-llama3-8b-merged is an 8 billion parameter Llama 3 model developed by SRFDev, finetuned for specific applications. This model was trained using Unsloth and Huggingface's TRL library, enabling faster training times. It is designed for tasks requiring a compact yet capable language model, leveraging the Llama 3 architecture.
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SRFDev/docmail-llama3-8b-merged Overview
This model is an 8 billion parameter Llama 3 variant, developed by SRFDev and finetuned from the unsloth/llama-3-8b-bnb-4bit base model. It leverages the Llama 3 architecture, known for its strong performance across various language tasks.
Key Capabilities
- Efficient Training: The model was trained using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
- Llama 3 Foundation: Benefits from the robust capabilities and general intelligence of the Llama 3 family.
- Compact Size: At 8 billion parameters, it offers a balance between performance and computational efficiency.
Good For
- Resource-constrained environments: Its optimized training and moderate size make it suitable for deployment where computational resources are a consideration.
- Applications requiring a finetuned Llama 3 model: Ideal for specific use cases where the base Llama 3 8B model has been further adapted for particular tasks or datasets.
- Developers utilizing Unsloth: Provides a practical example of a model trained with Unsloth for faster iteration and development.