quantized
Artificial Intelligence
QLoRa: Wonderful-Tune a Large Language Model on Your GPU QLoRa: Quantized LLMs with Low-Rank Adapters Wonderful-tuning a GPT model with QLoRa GPT Inference with QLoRa Conclusion
Most large language models (LLM) are too big to be fine-tuned on consumer hardware. As an example, to fine-tune a 65 billion parameters model we'd like greater than 780 Gb of GPU memory. That...
Artificial Intelligence
Quantizing OpenAI’s Whisper with the Huggingface Optimum Library → >30% Faster Inference, 64% Lower Memory tl;dr Introduction Step 1: Install requirements Step 2: Quantize the model Step 3: Compare...
Save 30% inference time and 64% memory when transcribing audio with OpenAI’s Whisper model by running the below code.Get in contact with us for those who are inquisitive about learning more.With all of the...
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