unslothai/vram-24 is an open-source model published by Unsloth on Hugging Face. It provides optimized feature extraction capabilities designed to reduce VRAM usage for large models. The model can be used with the Transformers library for local inference and is targeted at developers seeking efficient ways to run LLMs.
Vram 24 sits in PulseGate's Foundation models & chat category. It focuses on running large language models with high VRAM requirements on consumer hardware. Vram 24 is an open-source project aimed at machine learning engineers. The project is open source (Open Source). It runs on the web and API.
Unsloth builds and maintains Vram 24, and the product first shipped in 2024. Among its 3 catalogued features are Feature Extraction, Transformers Compatible, and Safetensors Format.
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unslothai/vram-24 verified by the PulseGate indexer
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