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microsoft/Phi-3-mini-4k-instruct
Text Generation • Updated • 903k • 534 -
microsoft/Phi-3-mini-128k-instruct
Text Generation • Updated • 472k • 1.21k -
microsoft/Phi-3-mini-4k-instruct-gguf
Text Generation • Updated • 127k • 327 -
microsoft/Phi-3-mini-4k-instruct-onnx
Text Generation • Updated • 1.65k • 73
Collections
Discover the best community collections!
Collections including paper arxiv:2404.14219
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The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 566 -
GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection
Paper • 2403.03507 • Published • 172 -
Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models
Paper • 2402.19427 • Published • 49 -
ResLoRA: Identity Residual Mapping in Low-Rank Adaption
Paper • 2402.18039 • Published • 10
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Self-Rewarding Language Models
Paper • 2401.10020 • Published • 135 -
Orion-14B: Open-source Multilingual Large Language Models
Paper • 2401.12246 • Published • 10 -
MambaByte: Token-free Selective State Space Model
Paper • 2401.13660 • Published • 47 -
MM-LLMs: Recent Advances in MultiModal Large Language Models
Paper • 2401.13601 • Published • 41
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RARR: Researching and Revising What Language Models Say, Using Language Models
Paper • 2210.08726 • Published • 1 -
Hypothesis Search: Inductive Reasoning with Language Models
Paper • 2309.05660 • Published • 1 -
In-context Learning and Induction Heads
Paper • 2209.11895 • Published • 2 -
ReAct: Synergizing Reasoning and Acting in Language Models
Paper • 2210.03629 • Published • 12
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XC-Cache: Cross-Attending to Cached Context for Efficient LLM Inference
Paper • 2404.15420 • Published • 7 -
OpenELM: An Efficient Language Model Family with Open-source Training and Inference Framework
Paper • 2404.14619 • Published • 120 -
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone
Paper • 2404.14219 • Published • 230 -
How Good Are Low-bit Quantized LLaMA3 Models? An Empirical Study
Paper • 2404.14047 • Published • 37