transformers gguf Llama-3.3 Instruct loyal AI GGUF finetune chat gpt4 synthetic data roleplaying unhinged funny opinionated assistant companion friend en base_model:meta-llama/Llama-3.3-70B-Instruct base_model:quantized:meta-llama/Llama-3.3-70B-Instruct license:llama3.3 endpoints_compatible region:us conversational
---
base_model: meta-llama/Llama-3.3-70B-Instruct
language:
- en
library_name: transformers
license: llama3.3
tags:
- Llama-3.3
- Instruct
- loyal AI
- GGUF
- finetune
- chat
- gpt4
- synthetic data
- roleplaying
- unhinged
- funny
- opinionated
- assistant
- companion
- friend
---

# Dobby-Llama-3.3-70B_GGUF

Dobby-70B high-performance GGUF model based on Llama 3.3 with 70 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.

## Compatibility

This model is compatible with:

- **[LMStudio](https://lmstudio.ai/)**: An easy-to-use desktop application for running and fine-tuning large language models locally.
- **[Ollama](https://ollama.com/)**: A versatile tool for deploying, managing, and interacting with large language models seamlessly.

## Quantization Levels

| **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.               |

## Recommended Usage

Choose your quantization level based on the hardware you are using:
- **4-bit** for ultra-lightweight systems.
- **6-bit** for balance on mid-tier hardware.
- **8-bit** for maximum performance on powerful GPUs.

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.