Tether Data has unveiled QVAC Fabric LLM, a new runtime environment and fine-tuning framework for large language model (LLM) inference. This innovative framework allows users to run, train, and customize LLMs on everyday hardware, including consumer GPUs, laptops, and smartphones, eliminating the need for high-end cloud servers or specialized NVIDIA systems.
QVAC Fabric LLM enhances the llama.cpp ecosystem by supporting fine-tuning for modern models like LLama3, Qwen3, and Gemma3. It is compatible with a wide range of GPUs, including those from AMD, Intel, NVIDIA, and Apple, as well as mobile chips. Released as open-source software under the Apache 2.0 license, QVAC Fabric LLM offers multi-platform binaries and adapters on Hugging Face, enabling developers to easily customize AI models with minimal commands.
Tether Data Launches QVAC Fabric LLM for Local AI Model Customization
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