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MiniMax-01: Scaling Foundation Models with Lightning Attention
Paper • 2501.08313 • Published • 304 -
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Paper • 2501.12948 • Published • 463 -
Qwen2.5 Technical Report
Paper • 2412.15115 • Published • 381 -
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone
Paper • 2404.14219 • Published • 262
Collections
Discover the best community collections!
Collections including paper arxiv:2501.08313
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Self-Rewarding Language Models
Paper • 2401.10020 • Published • 156 -
Orion-14B: Open-source Multilingual Large Language Models
Paper • 2401.12246 • Published • 14 -
MambaByte: Token-free Selective State Space Model
Paper • 2401.13660 • Published • 59 -
MM-LLMs: Recent Advances in MultiModal Large Language Models
Paper • 2401.13601 • Published • 48
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Attention Is All You Need
Paper • 1706.03762 • Published • 145 -
Scaling Laws for Neural Language Models
Paper • 2001.08361 • Published • 12 -
Training Compute-Optimal Large Language Models
Paper • 2203.15556 • Published • 13 -
Analogy Generation by Prompting Large Language Models: A Case Study of InstructGPT
Paper • 2210.04186 • Published
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The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 631 -
MiniMax-01: Scaling Foundation Models with Lightning Attention
Paper • 2501.08313 • Published • 304 -
Group Sequence Policy Optimization
Paper • 2507.18071 • Published • 323 -
Drivel-ology: Challenging LLMs with Interpreting Nonsense with Depth
Paper • 2509.03867 • Published • 213
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A Distributed Data-Parallel PyTorch Implementation of the Distributed Shampoo Optimizer for Training Neural Networks At-Scale
Paper • 2309.06497 • Published • 6 -
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 631 -
Llama 2: Open Foundation and Fine-Tuned Chat Models
Paper • 2307.09288 • Published • 252
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How to inject knowledge efficiently? Knowledge Infusion Scaling Law for Pre-training Large Language Models
Paper • 2509.19371 • Published -
Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free
Paper • 2505.06708 • Published • 13 -
Selective Attention: Enhancing Transformer through Principled Context Control
Paper • 2411.12892 • Published -
A Survey of Reinforcement Learning for Large Reasoning Models
Paper • 2509.08827 • Published • 193
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Rewnozom/agent-zero-v1-a-01
Text Generation • 4B • Updated • 18 • • 2 -
TheBloke/MythoMax-L2-13B-GGUF
13B • Updated • 25.6k • 286 -
DavidAU/Llama-3.2-8X3B-MOE-Dark-Champion-Instruct-uncensored-abliterated-18.4B-GGUF
Text Generation • 18B • Updated • 39.8k • 650 -
QuantFactory/DarkIdol-Llama-3.1-8B-Instruct-1.2-Uncensored-GGUF
Text Generation • 8B • Updated • 8.35k • 150
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MiniMax-01: Scaling Foundation Models with Lightning Attention
Paper • 2501.08313 • Published • 304 -
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Paper • 2501.12948 • Published • 463 -
Qwen2.5 Technical Report
Paper • 2412.15115 • Published • 381 -
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone
Paper • 2404.14219 • Published • 262
-
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 156 -
Orion-14B: Open-source Multilingual Large Language Models
Paper • 2401.12246 • Published • 14 -
MambaByte: Token-free Selective State Space Model
Paper • 2401.13660 • Published • 59 -
MM-LLMs: Recent Advances in MultiModal Large Language Models
Paper • 2401.13601 • Published • 48
-
A Distributed Data-Parallel PyTorch Implementation of the Distributed Shampoo Optimizer for Training Neural Networks At-Scale
Paper • 2309.06497 • Published • 6 -
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 631 -
Llama 2: Open Foundation and Fine-Tuned Chat Models
Paper • 2307.09288 • Published • 252
-
Attention Is All You Need
Paper • 1706.03762 • Published • 145 -
Scaling Laws for Neural Language Models
Paper • 2001.08361 • Published • 12 -
Training Compute-Optimal Large Language Models
Paper • 2203.15556 • Published • 13 -
Analogy Generation by Prompting Large Language Models: A Case Study of InstructGPT
Paper • 2210.04186 • Published
-
How to inject knowledge efficiently? Knowledge Infusion Scaling Law for Pre-training Large Language Models
Paper • 2509.19371 • Published -
Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free
Paper • 2505.06708 • Published • 13 -
Selective Attention: Enhancing Transformer through Principled Context Control
Paper • 2411.12892 • Published -
A Survey of Reinforcement Learning for Large Reasoning Models
Paper • 2509.08827 • Published • 193
-
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 631 -
MiniMax-01: Scaling Foundation Models with Lightning Attention
Paper • 2501.08313 • Published • 304 -
Group Sequence Policy Optimization
Paper • 2507.18071 • Published • 323 -
Drivel-ology: Challenging LLMs with Interpreting Nonsense with Depth
Paper • 2509.03867 • Published • 213
-
Rewnozom/agent-zero-v1-a-01
Text Generation • 4B • Updated • 18 • • 2 -
TheBloke/MythoMax-L2-13B-GGUF
13B • Updated • 25.6k • 286 -
DavidAU/Llama-3.2-8X3B-MOE-Dark-Champion-Instruct-uncensored-abliterated-18.4B-GGUF
Text Generation • 18B • Updated • 39.8k • 650 -
QuantFactory/DarkIdol-Llama-3.1-8B-Instruct-1.2-Uncensored-GGUF
Text Generation • 8B • Updated • 8.35k • 150