YAYI 2: Multilingual Open-Source Large Language Models
Paper
•
2312.14862
•
Published
•
11
llms
-
-
SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling
Paper • 2312.15166 • Published • 55 -
TrustLLM: Trustworthiness in Large Language Models
Paper • 2401.05561 • Published • 62 -
DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models
Paper • 2401.06066 • Published • 35 -
LLaMA Pro: Progressive LLaMA with Block Expansion
Paper • 2401.02415 • Published • 50 -
Composable Function-preserving Expansions for Transformer Architectures
Paper • 2308.06103 • Published • 18 -
Thinking Like Transformers
Paper • 2106.06981 • Published -
Large Language Models are Superpositions of All Characters: Attaining Arbitrary Role-play via Self-Alignment
Paper • 2401.12474 • Published • 33 -
BitNet: Scaling 1-bit Transformers for Large Language Models
Paper • 2310.11453 • Published • 94 -
Specialized Language Models with Cheap Inference from Limited Domain Data
Paper • 2402.01093 • Published • 45 -
BlackMamba: Mixture of Experts for State-Space Models
Paper • 2402.01771 • Published • 22 -
Code Representation Learning At Scale
Paper • 2402.01935 • Published • 12 -
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Paper • 2402.03300 • Published • 61 -
OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models
Paper • 2402.01739 • Published • 26 -
Rethinking Optimization and Architecture for Tiny Language Models
Paper • 2402.02791 • Published • 12 -
Scaling Laws for Fine-Grained Mixture of Experts
Paper • 2402.07871 • Published • 10 -
A Tale of Tails: Model Collapse as a Change of Scaling Laws
Paper • 2402.07043 • Published • 12 -
Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model
Paper • 2402.07827 • Published • 43 -
FinTral: A Family of GPT-4 Level Multimodal Financial Large Language Models
Paper • 2402.10986 • Published • 73 -
TEQ: Trainable Equivalent Transformation for Quantization of LLMs
Paper • 2310.10944 • Published • 9 -
DenseMamba: State Space Models with Dense Hidden Connection for Efficient Large Language Models
Paper • 2403.00818 • Published • 13 -
Rho-1: Not All Tokens Are What You Need
Paper • 2404.07965 • Published • 79 -
Pre-training Small Base LMs with Fewer Tokens
Paper • 2404.08634 • Published • 32