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Model training
taaft.com/model-training
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By Hugging Facenanowhale is Hugging Face’s miniature DeepSeek-V4-style language model project, built to reproduce the core DeepSeek-V4 architecture at about 110M parameters. It is designed as an educational and research-scale model, with both a pretrained base version and an SFT chat version, rather than as a production frontier assistant.NewTextReleased 1mo ago
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By Sii GAIR-NLPdaVinci-LLM-3B is a 3B base language model built to make pretraining transparent and reproducible. Its release includes not only the weights, but also training trajectories, intermediate checkpoints, data-processing decisions, and more than 200 ablation studies.NewTextReleased 2mo ago
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By AlibabaWebWorld-8B is Qwen’s open web-agent model for autonomous browser interaction and online task completion. It is built to navigate websites, interact with web interfaces, reason over browser state, and execute multi-step online workflows using an 8B parameter language-model backbone.TextReleased 3mo ago
Discussion(3)
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Model training
Smart Solution
🙏 27 karma
3mo ago
@Commissioned
Finally, an AI that makes fine-tuning simple and fast. No infrastructure, no coding, just results. This is exactly what the community needs!
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Model training
Rashendi Sahraoui
🙏 2 karma
1y ago
@TrainEngine
The results are very bad.
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