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
10
Gen-Verse/ReasonFlux-Coder-4B
Text Generation
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Updated
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46
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3
Gen-Verse/ReasonFlux-Coder-7B
Text Generation
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Updated
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69
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4
Gen-Verse/ReasonFlux-Coder-14B
Text Generation
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Updated
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77
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6
Gen-Verse/MMaDA-8B-MixCoT
Any-to-Any
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Updated
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1.5k
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7
Gen-Verse/ReasonFlux-V2-32B
Updated
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5
Gen-Verse/MMaDA-8B-Base
Any-to-Any
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Updated
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15.4k
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65
Gen-Verse/ReasonFlux-F1-7B
Text Generation
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Updated
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451
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2
Gen-Verse/ReasonFlux-F1
Text Generation
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Updated
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29
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9
Gen-Verse/ReasonFlux-F1-14B
Text Generation
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Updated
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41
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5
Gen-Verse/HermesFlow
Image-Text-to-Text
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Updated
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11
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4
datasets
12
Gen-Verse/MBPP
Viewer
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Updated
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221
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44
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1
Gen-Verse/CodeForces
Viewer
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Updated
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467
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40
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1
Gen-Verse/CodeContests
Viewer
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Updated
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239
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39
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1
Gen-Verse/CodeContests_train
Viewer
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Updated
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4.53k
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51
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2
Gen-Verse/LiveCodeBench
Preview
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Updated
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39
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1
Gen-Verse/LiveBench
Viewer
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Updated
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128
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42
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1
Gen-Verse/ReasonFlux-V2-SFT
Viewer
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Updated
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6.64k
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67
Gen-Verse/ReasonFlux-V2-Template
Viewer
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Updated
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3.34k
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68
Gen-Verse/ReasonFlux-V2-DPO
Viewer
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Updated
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3.98k
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68
Gen-Verse/WideRange4D
Viewer
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Updated
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12.8k
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115
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16