LLM360: Towards Fully Transparent Open-Source LLMs Article Swipe
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2312.06550
The recent surge in open-source Large Language Models (LLMs), such as LLaMA, Falcon, and Mistral, provides diverse options for AI practitioners and researchers. However, most LLMs have only released partial artifacts, such as the final model weights or inference code, and technical reports increasingly limit their scope to high-level design choices and surface statistics. These choices hinder progress in the field by degrading transparency into the training of LLMs and forcing teams to rediscover many details in the training process. We present LLM360, an initiative to fully open-source LLMs, which advocates for all training code and data, model checkpoints, and intermediate results to be made available to the community. The goal of LLM360 is to support open and collaborative AI research by making the end-to-end LLM training process transparent and reproducible by everyone. As a first step of LLM360, we release two 7B parameter LLMs pre-trained from scratch, Amber and CrystalCoder, including their training code, data, intermediate checkpoints, and analyses (at https://www.llm360.ai). We are committed to continually pushing the boundaries of LLMs through this open-source effort. More large-scale and stronger models are underway and will be released in the future.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2312.06550
- https://arxiv.org/pdf/2312.06550
- OA Status
- green
- Cited By
- 3
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4389708455
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4389708455Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.48550/arxiv.2312.06550Digital Object Identifier
- Title
-
LLM360: Towards Fully Transparent Open-Source LLMsWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-12-11Full publication date if available
- Authors
-
Zhengzhong Liu, Aurick Qiao, Willie Neiswanger, Hongyi Wang, Bowen Tan, Tianhua Tao, Junbo Li, Yuqi Wang, Suqi Sun, Omkar Pangarkar, Richard E. Fan, Yi Gu, Victor S. Miller, Yonghao Zhuang, Guowei He, Haonan Li, Fajri Koto, Liping Tang, Nikhil Ranjan, Zhiqiang Shen, Xuguang Ren, Roberto Iriondo, Cun Mu, Zhiting Hu, Mark Schulze, Preslav Nakov, Tim Baldwin, Eric P. XingList of authors in order
- Landing page
-
https://arxiv.org/abs/2312.06550Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/2312.06550Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/2312.06550Direct OA link when available
- Concepts
-
Transparency (behavior), Forcing (mathematics), Computer science, Process (computing), Computer security, Programming language, Climatology, GeologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
3Total citation count in OpenAlex
- Citations by year (recent)
-
2024: 3Per-year citation counts (last 5 years)
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.AI | 19, 119 |
| abstract_inverted_index.As | 133 |
| abstract_inverted_index.We | 80, 162 |
| abstract_inverted_index.an | 83 |
| abstract_inverted_index.as | 10, 32 |
| abstract_inverted_index.be | 103, 185 |
| abstract_inverted_index.by | 61, 121, 131 |
| abstract_inverted_index.in | 3, 58, 76, 187 |
| abstract_inverted_index.is | 113 |
| abstract_inverted_index.of | 67, 111, 137, 170 |
| abstract_inverted_index.or | 37 |
| abstract_inverted_index.to | 47, 72, 85, 102, 106, 114, 165 |
| abstract_inverted_index.we | 139 |
| abstract_inverted_index.(at | 160 |
| abstract_inverted_index.LLM | 125 |
| abstract_inverted_index.The | 0, 109 |
| abstract_inverted_index.all | 92 |
| abstract_inverted_index.and | 13, 21, 40, 51, 69, 95, 99, 117, 129, 149, 158, 178, 183 |
| abstract_inverted_index.are | 163, 181 |
| abstract_inverted_index.for | 18, 91 |
| abstract_inverted_index.the | 33, 59, 65, 77, 107, 123, 168, 188 |
| abstract_inverted_index.two | 141 |
| abstract_inverted_index.LLMs | 25, 68, 144, 171 |
| abstract_inverted_index.More | 176 |
| abstract_inverted_index.code | 94 |
| abstract_inverted_index.from | 146 |
| abstract_inverted_index.goal | 110 |
| abstract_inverted_index.have | 26 |
| abstract_inverted_index.into | 64 |
| abstract_inverted_index.made | 104 |
| abstract_inverted_index.many | 74 |
| abstract_inverted_index.most | 24 |
| abstract_inverted_index.only | 27 |
| abstract_inverted_index.open | 116 |
| abstract_inverted_index.step | 136 |
| abstract_inverted_index.such | 9, 31 |
| abstract_inverted_index.this | 173 |
| abstract_inverted_index.will | 184 |
| abstract_inverted_index.Amber | 148 |
| abstract_inverted_index.LLMs, | 88 |
| abstract_inverted_index.Large | 5 |
| abstract_inverted_index.These | 54 |
| abstract_inverted_index.code, | 39, 154 |
| abstract_inverted_index.data, | 96, 155 |
| abstract_inverted_index.field | 60 |
| abstract_inverted_index.final | 34 |
| abstract_inverted_index.first | 135 |
| abstract_inverted_index.fully | 86 |
| abstract_inverted_index.limit | 44 |
| abstract_inverted_index.model | 35, 97 |
| abstract_inverted_index.scope | 46 |
| abstract_inverted_index.surge | 2 |
| abstract_inverted_index.teams | 71 |
| abstract_inverted_index.their | 45, 152 |
| abstract_inverted_index.which | 89 |
| abstract_inverted_index.LLM360 | 112 |
| abstract_inverted_index.LLaMA, | 11 |
| abstract_inverted_index.Models | 7 |
| abstract_inverted_index.design | 49 |
| abstract_inverted_index.hinder | 56 |
| abstract_inverted_index.making | 122 |
| abstract_inverted_index.models | 180 |
| abstract_inverted_index.recent | 1 |
| abstract_inverted_index.(LLMs), | 8 |
| abstract_inverted_index.Falcon, | 12 |
| abstract_inverted_index.LLM360, | 82, 138 |
| abstract_inverted_index.choices | 50, 55 |
| abstract_inverted_index.details | 75 |
| abstract_inverted_index.diverse | 16 |
| abstract_inverted_index.effort. | 175 |
| abstract_inverted_index.forcing | 70 |
| abstract_inverted_index.future. | 189 |
| abstract_inverted_index.options | 17 |
| abstract_inverted_index.partial | 29 |
| abstract_inverted_index.present | 81 |
| abstract_inverted_index.process | 127 |
| abstract_inverted_index.pushing | 167 |
| abstract_inverted_index.release | 140 |
| abstract_inverted_index.reports | 42 |
| abstract_inverted_index.results | 101 |
| abstract_inverted_index.support | 115 |
| abstract_inverted_index.surface | 52 |
| abstract_inverted_index.through | 172 |
| abstract_inverted_index.weights | 36 |
| abstract_inverted_index.However, | 23 |
| abstract_inverted_index.Language | 6 |
| abstract_inverted_index.Mistral, | 14 |
| abstract_inverted_index.analyses | 159 |
| abstract_inverted_index.process. | 79 |
| abstract_inverted_index.progress | 57 |
| abstract_inverted_index.provides | 15 |
| abstract_inverted_index.released | 28, 186 |
| abstract_inverted_index.research | 120 |
| abstract_inverted_index.scratch, | 147 |
| abstract_inverted_index.stronger | 179 |
| abstract_inverted_index.training | 66, 78, 93, 126, 153 |
| abstract_inverted_index.underway | 182 |
| abstract_inverted_index.advocates | 90 |
| abstract_inverted_index.available | 105 |
| abstract_inverted_index.committed | 164 |
| abstract_inverted_index.degrading | 62 |
| abstract_inverted_index.everyone. | 132 |
| abstract_inverted_index.including | 151 |
| abstract_inverted_index.inference | 38 |
| abstract_inverted_index.parameter | 143 |
| abstract_inverted_index.technical | 41 |
| abstract_inverted_index.artifacts, | 30 |
| abstract_inverted_index.boundaries | 169 |
| abstract_inverted_index.community. | 108 |
| abstract_inverted_index.end-to-end | 124 |
| abstract_inverted_index.high-level | 48 |
| abstract_inverted_index.initiative | 84 |
| abstract_inverted_index.rediscover | 73 |
| abstract_inverted_index.continually | 166 |
| abstract_inverted_index.large-scale | 177 |
| abstract_inverted_index.open-source | 4, 87, 174 |
| abstract_inverted_index.pre-trained | 145 |
| abstract_inverted_index.statistics. | 53 |
| abstract_inverted_index.transparent | 128 |
| abstract_inverted_index.checkpoints, | 98, 157 |
| abstract_inverted_index.increasingly | 43 |
| abstract_inverted_index.intermediate | 100, 156 |
| abstract_inverted_index.reproducible | 130 |
| abstract_inverted_index.researchers. | 22 |
| abstract_inverted_index.transparency | 63 |
| abstract_inverted_index.CrystalCoder, | 150 |
| abstract_inverted_index.collaborative | 118 |
| abstract_inverted_index.practitioners | 20 |
| abstract_inverted_index.https://www.llm360.ai). | 161 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 28 |
| citation_normalized_percentile |