Dobby-Mini
Collection
Preview models for the upcoming family of Dobby LLMs.
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4 items
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Updated
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3
Dobby-Mini-Unhinged is a compact, high-performance GGUF model based on Llama 3.1 with 8 billion parameters. Designed for efficiency, this model supports quantization levels in 4-bit, 6-bit, and 8-bit, offering flexibility to run on various hardware configurations without compromising performance.
This model is compatible with:
Quantization | Description | Use Case |
---|---|---|
4-bit | Highly compressed for minimal memory usage. Some loss in precision and quality, but great for lightweight devices with limited VRAM. | Ideal for testing, quick prototyping, or running on low-end GPUs and CPUs. |
6-bit | Strikes a balance between compression and quality. Offers improved accuracy over 4-bit without requiring significant additional resources. | Recommended for users with mid-range hardware aiming for a compromise between speed and precision. |
8-bit | Full-precision quantization for maximum quality while still optimizing memory usage compared to full FP16 or FP32 models. | Perfect for high-performance systems where maintaining accuracy and precision is critical. |
Choose your quantization level based on the hardware you are using:
This model supports prompt fine-tuning for domain-specific tasks, making it an excellent choice for interactive applications like chatbots, question answering, and creative writing.
Base model
meta-llama/Llama-3.1-8B