Resource-Efficient Language Models: Quantization for Fast and Accessible Inference | Paper Citation Record

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Resource-Efficient Language Models: Quantization for Fast and Accessible Inference Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

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Resource-Efficient Language Models: Quantization for Fast and Accessible Inference Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models

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Resource-Efficient Language Models: Quantization for Fast and Accessible Inference Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation

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Resource-Efficient Language Models: Quantization for Fast and Accessible Inference Understanding and Overcoming the Challenges of Efficient Transformer Quantization

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Resource-Efficient Language Models: Quantization for Fast and Accessible Inference DB-LLM: Accurate Dual-Binarization for Efficient LLMs

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Resource-Efficient Language Models: Quantization for Fast and Accessible Inference Exploring Quantization for Efficient Pre-Training of Transformer Language Models

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Resource-Efficient Language Models: Quantization for Fast and Accessible Inference Training deep neural networks with low precision multiplications

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Resource-Efficient Language Models: Quantization for Fast and Accessible Inference Extreme Compression of Large Language Models via Additive Quantization

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Resource-Efficient Language Models: Quantization for Fast and Accessible Inference Training with Quantization Noise for Extreme Model Compression

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Resource-Efficient Language Models: Quantization for Fast and Accessible Inference GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

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Resource-Efficient Language Models: Quantization for Fast and Accessible Inference Gemma 2: Improving Open Language Models at a Practical Size

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Resource-Efficient Language Models: Quantization for Fast and Accessible Inference The Llama 3 Herd of Models

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Resource-Efficient Language Models: Quantization for Fast and Accessible Inference OLMo: Accelerating the Science of Language Models

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Resource-Efficient Language Models: Quantization for Fast and Accessible Inference Mamba: Linear-Time Sequence Modeling with Selective State Spaces

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Resource-Efficient Language Models: Quantization for Fast and Accessible Inference Mistral 7B

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Resource-Efficient Language Models: Quantization for Fast and Accessible Inference A Comprehensive Evaluation of Quantization Strategies for Large Language Models

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Resource-Efficient Language Models: Quantization for Fast and Accessible Inference FP8 versus INT8 for efficient deep learning inference

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Resource-Efficient Language Models: Quantization for Fast and Accessible Inference A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness

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Resource-Efficient Language Models: Quantization for Fast and Accessible Inference Emergent Abilities of Large Language Models

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Resource-Efficient Language Models: Quantization for Fast and Accessible Inference HuggingFace's Transformers: State-of-the-art Natural Language Processing

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Resource-Efficient Language Models: Quantization for Fast and Accessible Inference Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets

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Resource-Efficient Language Models: Quantization for Fast and Accessible Inference A Survey on Efficient Inference for Large Language Models

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Resource-Efficient Language Models: Quantization for Fast and Accessible Inference A Survey on Model Compression for Large Language Models

Reference 77

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