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The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 590 -
Improving Access to Justice for the Indian Population: A Benchmark for Evaluating Translation of Legal Text to Indian Languages
Paper • 2310.09765 • Published -
joelniklaus/legal_case_document_summarization
Viewer • Updated • 7.97k • 3 • 12 -
LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
Paper • 2308.11462 • Published • 2
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Collections including paper arxiv:2402.17764
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MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases
Paper • 2402.14905 • Published • 107 -
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 590 -
MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training
Paper • 2403.09611 • Published • 123 -
Jamba: A Hybrid Transformer-Mamba Language Model
Paper • 2403.19887 • Published • 103
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Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone
Paper • 2404.14219 • Published • 250 -
How Good Are Low-bit Quantized LLaMA3 Models? An Empirical Study
Paper • 2404.14047 • Published • 43 -
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 590
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meta-llama/Llama-2-7b-chat-hf
Text Generation • Updated • 709k • 3.85k -
ibm-granite/granite-8b-code-instruct-4k
Text Generation • Updated • 3.49k • 102 -
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 590 -
134🏆
Low-bit Quantized Open LLM Leaderboard
Track, rank and evaluate open LLMs and chatbots
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The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 590 -
BitNet: Scaling 1-bit Transformers for Large Language Models
Paper • 2310.11453 • Published • 96 -
Mixture-of-Depths: Dynamically allocating compute in transformer-based language models
Paper • 2404.02258 • Published • 103 -
TransformerFAM: Feedback attention is working memory
Paper • 2404.09173 • Published • 43
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DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients
Paper • 1606.06160 • Published • 1 -
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 590 -
mobiuslabsgmbh/Llama-2-7b-chat-hf_1bitgs8_hqq
Text Generation • Updated • 23 • 74