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openai/whisper-large-v3
Automatic Speech Recognition • 2B • Updated • 3.52M • • 6.78k -
abacusai/Smaug-72B-v0.1
Text Generation • 72B • Updated • 9.22k • 468 -
metavoiceio/metavoice-1B-v0.1
Text-to-Speech • Updated • 472 • 786 -
FLUX.1 [Schnell]
🏎5.16kGenerate images from text prompts with FLUX.1-schnell
Collections
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Collections trending this week
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Latent Reasoning in LLMs as a Vocabulary-Space Superposition
Paper • 2510.15522 • Published • 7 -
Language Models are Injective and Hence Invertible
Paper • 2510.15511 • Published • 54 -
Eliciting Secret Knowledge from Language Models
Paper • 2510.01070 • Published • 5 -
Interpreting Language Models Through Concept Descriptions: A Survey
Paper • 2510.01048 • Published • 2
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Zero Bubble Pipeline Parallelism
Paper • 2401.10241 • Published • 25 -
Pipeline Parallelism with Controllable Memory
Paper • 2405.15362 • Published • 3 -
Balancing Pipeline Parallelism with Vocabulary Parallelism
Paper • 2411.05288 • Published • 19 -
PipeOffload: Improving Scalability of Pipeline Parallelism with Memory Optimization
Paper • 2503.01328 • Published • 16
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openai/whisper-large-v3
Automatic Speech Recognition • 2B • Updated • 3.52M • • 6.78k -
abacusai/Smaug-72B-v0.1
Text Generation • 72B • Updated • 9.22k • 468 -
metavoiceio/metavoice-1B-v0.1
Text-to-Speech • Updated • 472 • 786 -
FLUX.1 [Schnell]
🏎5.16kGenerate images from text prompts with FLUX.1-schnell
-
Latent Reasoning in LLMs as a Vocabulary-Space Superposition
Paper • 2510.15522 • Published • 7 -
Language Models are Injective and Hence Invertible
Paper • 2510.15511 • Published • 54 -
Eliciting Secret Knowledge from Language Models
Paper • 2510.01070 • Published • 5 -
Interpreting Language Models Through Concept Descriptions: A Survey
Paper • 2510.01048 • Published • 2
-
Zero Bubble Pipeline Parallelism
Paper • 2401.10241 • Published • 25 -
Pipeline Parallelism with Controllable Memory
Paper • 2405.15362 • Published • 3 -
Balancing Pipeline Parallelism with Vocabulary Parallelism
Paper • 2411.05288 • Published • 19 -
PipeOffload: Improving Scalability of Pipeline Parallelism with Memory Optimization
Paper • 2503.01328 • Published • 16