Coding LLMs excel at both writing code and generating unit tests.
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Welcome to the Research Initiative by Princeton University
We aim to revolutionize the algorithms and frameworks that power LLMs and diffusion models, making them more scalable, efficient, and adaptable for real-world applications.
Contact Us: Interested in learning more or getting involved? Reach out to us at [email protected] or visit our website at https://github.com/Gen-Verse.
Collections
4
models
11
Gen-Verse/ReasonFlux-V2-32B-Reasoner
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23
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2
Gen-Verse/ReasonFlux-V2-32B-Proposer
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24
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2
Gen-Verse/ReasonFlux-Coder-4B
Text Generation
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Updated
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125
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4
Gen-Verse/ReasonFlux-Coder-7B
Text Generation
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Updated
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178
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5
Gen-Verse/ReasonFlux-Coder-14B
Text Generation
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Updated
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239
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13
Gen-Verse/MMaDA-8B-MixCoT
Any-to-Any
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Updated
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2.65k
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13
Gen-Verse/MMaDA-8B-Base
Any-to-Any
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Updated
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17.3k
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68
Gen-Verse/ReasonFlux-F1-7B
Text Generation
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Updated
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1.2k
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2
Gen-Verse/ReasonFlux-F1
Text Generation
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Updated
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42
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9
Gen-Verse/ReasonFlux-F1-14B
Text Generation
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Updated
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46
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5
datasets
12
Gen-Verse/MBPP
Viewer
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Updated
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221
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107
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1
Gen-Verse/CodeForces
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Updated
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467
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104
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1
Gen-Verse/CodeContests
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Updated
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239
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102
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1
Gen-Verse/CodeContests_train
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Updated
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4.53k
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138
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3
Gen-Verse/LiveCodeBench
Preview
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Updated
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102
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1
Gen-Verse/LiveBench
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Updated
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128
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116
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1
Gen-Verse/ReasonFlux-V2-SFT
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Updated
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6.64k
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107
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1
Gen-Verse/ReasonFlux-V2-Template
Viewer
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Updated
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3.34k
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93
Gen-Verse/ReasonFlux-V2-DPO
Viewer
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Updated
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3.98k
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120
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1
Gen-Verse/WideRange4D
Viewer
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Updated
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12.8k
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51
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16