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Independent publisher

Uenorindo

rindo23

Models in Library2
Datasets in Library0
Models on Hugging Face6
Followers—

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This profile connects the 2 model and dataset records shown below to their upstream cards and sources. The library counts describe SAVRN's coverage, rather than this publisher's entire output.

Published tasks: Text generation.

Compare model specifications, source dates, and hardware estimates on the individual records. Publisher identity verification is separate from a model's quality, deployment readiness, or suitability for your work.

Models

Model · Text generation

geniac_prize_2026_run04_tulu_3727

Uenorindo

Qwen/Qwen3-4B-Base Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. Use the code below to get started with the model. This adapter was originally trained in an earlier run and reused unchanged for Run04. Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019). This model was fine-tuned using Qwen3-4B-Base and the Tulu 3 and GSM8K datasets. Please cite the original works when using or referencing this model. Qwen3 title={Qwen3 Technical Report}, author={Yang, An and others}, year={2025} Tulu 3 title={Tulu 3: Pushing Frontiers in Open Language Model Post-Training}…

Open weights peft

Model · Text generation

geniac_prize_2026_run04_gsm8k_500

Uenorindo

Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. Use the code below to get started with the model. Stage 1 Stage 2 Run04 used the original text-based SFT training configuration, not completion-only SFT. Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019). This model was fine-tuned using Qwen3-4B-Base and the Tulu 3 and GSM8K datasets. Please cite the original works when using or referencing this model. Qwen3 title={Qwen3 Technical Report}, author={Yang, An and others}, year={2025} Tulu 3 title={Tulu 3: Pushing Frontiers in Open Language Model Post-Training}…

Open weights peft