Download paper/refs.yml from Asilarkness/DiffuRefill-1B-base: direct link, hf CLI and curl.
- Browser
- Download file 2.51 kB
-
https://huggingface.co/Asilarkness/DiffuRefill-1B-base/resolve/main/paper/refs.yml
- Command line
-
hf download hf://Asilarkness/DiffuRefill-1B-base/paper/refs.yml
-
curl -L -o refs.yml https://huggingface.co/Asilarkness/DiffuRefill-1B-base/resolve/main/paper/refs.yml
2.51 kB
| diloco: | |
| type: article | |
| title: "DiLoCo: Distributed Low-Communication Training of Language Models" | |
| author: ["Douillard, Arthur"] | |
| date: 2023 | |
| url: https://arxiv.org/abs/2311.08105 | |
| mdlm: | |
| type: article | |
| title: Simple and Effective Masked Diffusion Language Models | |
| author: ["Sahoo, Subham Sekhar"] | |
| date: 2024 | |
| url: https://arxiv.org/abs/2406.07524 | |
| smdm: | |
| type: article | |
| title: Scaling up Masked Diffusion Models on Text | |
| author: ["Nie, Shen"] | |
| date: 2025 | |
| url: https://arxiv.org/abs/2410.18514 | |
| llada: | |
| type: article | |
| title: Large Language Diffusion Models | |
| author: ["Nie, Shen"] | |
| date: 2025 | |
| url: https://arxiv.org/abs/2502.09992 | |
| ultrafineweb: | |
| type: article | |
| title: "Ultra-FineWeb: Efficient Data Filtering and Verification for High-Quality LLM Training Data" | |
| author: ["Wang, Yudong"] | |
| date: 2025 | |
| url: https://arxiv.org/abs/2505.05427 | |
| olmo3: | |
| type: web | |
| title: "OLMo 3 stage-2 mid-training mix (dolma3_dolmino_mix-100B-1125)" | |
| author: ["Team OLMo"] | |
| date: 2025 | |
| url: https://huggingface.co/datasets/allenai/dolma3_dolmino_mix-100B-1125 | |
| d2z: | |
| type: article | |
| title: "Straight to Zero: Why Linearly Decaying the Learning Rate to Zero Works Best for LLMs" | |
| author: ["Bergsma, Shane"] | |
| date: 2025 | |
| url: https://arxiv.org/abs/2502.15938 | |
| muon: | |
| type: web | |
| title: "Muon: An optimizer for hidden layers in neural networks" | |
| author: ["Jordan, Keller"] | |
| date: 2024 | |
| url: https://kellerjordan.github.io/posts/muon/ | |
| moonlight: | |
| type: article | |
| title: Muon is Scalable for LLM Training | |
| author: ["Liu, Jingyuan"] | |
| date: 2025 | |
| url: https://arxiv.org/abs/2502.16982 | |
| cautious: | |
| type: article | |
| title: "Cautious Optimizers: Improving Training with One Line of Code" | |
| author: ["Liang, Kaizhao"] | |
| date: 2024 | |
| url: https://arxiv.org/abs/2411.16085 | |
| lmeval: | |
| type: web | |
| title: A framework for few-shot language model evaluation (lm-evaluation-harness) | |
| author: ["Gao, Leo"] | |
| date: 2024 | |
| url: https://github.com/EleutherAI/lm-evaluation-harness | |
| pythia: | |
| type: article | |
| title: "Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling" | |
| author: ["Biderman, Stella"] | |
| date: 2023 | |
| url: https://arxiv.org/abs/2304.01373 | |
| smollm2: | |
| type: article | |
| title: "SmolLM2: When Smol Goes Big - Data-Centric Training of a Small Language Model" | |
| author: ["Ben Allal, Loubna"] | |
| date: 2025 | |
| url: https://arxiv.org/abs/2502.02737 | |
| qwen25: | |
| type: article | |
| title: Qwen2.5 Technical Report | |
| author: ["Qwen Team"] | |
| date: 2024 | |
| url: https://arxiv.org/abs/2412.15115 | |