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Contact UsThis virtual machine is configured with LLaMA Factory, a powerful framework designed to simplify large language model fine-tuning and deployment. The VM provides a fully prepared environment for experimenting, training, and serving modern LLMs without the complexity of manual setup.
LLaMA Factory is an open-source framework built on PyTorch that unifies the workflows needed to customize and deploy large language and multimodal models. It brings together training, evaluation, optimization, and inference into a single, consistent toolkit.
Core Capabilities:
Extensive Model Compatibility
Works with a broad range of LLMs and multimodal models such as LLaMA, Qwen, Gemma, Mistral, ChatGLM, Phi, and others, enabling flexibility across use cases.
Multiple Fine-Tuning Methods
Supports full parameter training, LoRA and QLoRA, partial freezing, reward modeling, and preference-based learning methods such as DPO and PPO.
Performance-Focused Design
Includes modern efficiency techniques like optimized attention mechanisms and memory-saving strategies to reduce GPU usage and speed up training.
Intuitive User Experience
Offers both CLI workflows and a browser-based UI where users can manage datasets, adjust training settings, and track progress visually.
Why Choose This LLaMA Factory VM?
Everything is preinstalled and configured, removing the friction of dependency management and GPU setup.
The VM works equally well for newcomers using the graphical interface and experienced practitioners who prefer scriptable, low-level control.
Built for Growth: Highly Scalable for your workload with cloud infrastructure
Faster Time to Results: By eliminating setup overhead and providing optimized defaults, this VM helps you focus on building and refining models instead of managing infrastructure.
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NVIDIA License disclaimer:
Container image Copyright (c) 2016-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved. This container image and its contents are governed by the NVIDIA Deep Learning Container License. By pulling and using the container, you accept the terms and conditions of this license: https://developer.nvidia.com/ngc/nvidia-deep-learning-container-license