Nemotron-4 15B Technical Report
Paper
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2402.16819
•
Published
•
46
LLM_architectures
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Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models
Paper • 2402.19427 • Published • 56 -
RWKV: Reinventing RNNs for the Transformer Era
Paper • 2305.13048 • Published • 19 -
Reformer: The Efficient Transformer
Paper • 2001.04451 • Published -
Attention Is All You Need
Paper • 1706.03762 • Published • 94 -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 23 -
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Paper • 1910.10683 • Published • 14 -
GLaM: Efficient Scaling of Language Models with Mixture-of-Experts
Paper • 2112.06905 • Published • 2 -
UL2: Unifying Language Learning Paradigms
Paper • 2205.05131 • Published • 5 -
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
Paper • 2211.05100 • Published • 34 -
The Flan Collection: Designing Data and Methods for Effective Instruction Tuning
Paper • 2301.13688 • Published • 9 -
Llama 2: Open Foundation and Fine-Tuned Chat Models
Paper • 2307.09288 • Published • 246 -
Mamba: Linear-Time Sequence Modeling with Selective State Spaces
Paper • 2312.00752 • Published • 146 -
Textbooks Are All You Need
Paper • 2306.11644 • Published • 148 -
Mistral 7B
Paper • 2310.06825 • Published • 55 -
SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling
Paper • 2312.15166 • Published • 60 -
Gemini: A Family of Highly Capable Multimodal Models
Paper • 2312.11805 • Published • 47 -
Mixtral of Experts
Paper • 2401.04088 • Published • 159 -
The Falcon Series of Open Language Models
Paper • 2311.16867 • Published • 14 -
Gemma: Open Models Based on Gemini Research and Technology
Paper • 2403.08295 • Published • 50 -
Jamba: A Hybrid Transformer-Mamba Language Model
Paper • 2403.19887 • Published • 111 -
ReALM: Reference Resolution As Language Modeling
Paper • 2403.20329 • Published • 22 -
Eagle and Finch: RWKV with Matrix-Valued States and Dynamic Recurrence
Paper • 2404.05892 • Published • 39 -
RecurrentGemma: Moving Past Transformers for Efficient Open Language Models
Paper • 2404.07839 • Published • 47 -
Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length
Paper • 2404.08801 • Published • 66 -
Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention
Paper • 2404.07143 • Published • 111 -
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone
Paper • 2404.14219 • Published • 258 -
You Only Cache Once: Decoder-Decoder Architectures for Language Models
Paper • 2405.05254 • Published • 10 -
TransformerFAM: Feedback attention is working memory
Paper • 2404.09173 • Published • 43 -
ZeroQuant-V2: Exploring Post-training Quantization in LLMs from Comprehensive Study to Low Rank Compensation
Paper • 2303.08302 • Published -
Kolmogorov-Arnold Transformer
Paper • 2409.10594 • Published • 45 -
Fast Inference from Transformers via Speculative Decoding
Paper • 2211.17192 • Published • 9 -
Exploring the Limit of Outcome Reward for Learning Mathematical Reasoning
Paper • 2502.06781 • Published • 59 -
Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach
Paper • 2502.05171 • Published • 150