Computer Science > Computation and Language
arXiv:2411.05281 (cs)
[Submitted on 8 Nov 2024 (v1), last revised 17 Nov 2024 (this version, v2)]
Title:Fox-1 Technical Report
Authors:Zijian Hu,Jipeng Zhang,Rui Pan,Zhaozhuo Xu,Shanshan Han,Han Jin,Alay Dilipbhai Shah,Dimitris Stripelis,Yuhang Yao,Salman Avestimehr,Chaoyang He,Tong Zhang
View a PDF of the paper titled Fox-1 Technical Report, by Zijian Hu and 11 other authors
View PDFHTML (experimental)Abstract:We present Fox-1, a series of small language models (SLMs) consisting of Fox-1-1.6B and Fox-1-1.6B-Instruct-v0.1. These models are pre-trained on 3 trillion tokens of web-scraped document data and fine-tuned with 5 billion tokens of instruction-following and multi-turn conversation data. Aiming to improve the pre-training efficiency, Fox-1-1.6B model introduces a novel 3-stage data curriculum across all the training data with 2K-8K sequence length. In architecture design, Fox-1 features a deeper layer structure, an expanded vocabulary, and utilizes Grouped Query Attention (GQA), offering a performant and efficient architecture compared to other SLMs. Fox-1 achieves better or on-par performance in various benchmarks compared to StableLM-2-1.6B, Gemma-2B, Qwen1.5-1.8B, and OpenELM1.1B, with competitive inference speed and throughput. The model weights have been released under the Apache 2.0 license, where we aim to promote the democratization of LLMs and make them fully accessible to the whole open-source community.
| Comments: | Base model is available atthis https URL and the instruction-tuned version is available atthis https URL |
| Subjects: | Computation and Language (cs.CL); Artificial Intelligence (cs.AI); Machine Learning (cs.LG) |
| Cite as: | arXiv:2411.05281 [cs.CL] |
| (orarXiv:2411.05281v2 [cs.CL] for this version) | |
| https://doi.org/10.48550/arXiv.2411.05281 arXiv-issued DOI via DataCite |
Submission history
From: Zijian Hu [view email][v1] Fri, 8 Nov 2024 02:24:29 UTC (286 KB)
[v2] Sun, 17 Nov 2024 05:40:44 UTC (286 KB)
Full-text links:
Access Paper:
- View PDF
- HTML (experimental)
- TeX Source
- Other Formats
View a PDF of the paper titled Fox-1 Technical Report, by Zijian Hu and 11 other authors
References & Citations
Bookmark
Bibliographic and Citation Tools
Bibliographic Explorer(What is the Explorer?)
Connected Papers(What is Connected Papers?)
Litmaps(What is Litmaps?)
scite Smart Citations(What are Smart Citations?)
Code, Data and Media Associated with this Article
alphaXiv(What is alphaXiv?)
CatalyzeX Code Finder for Papers(What is CatalyzeX?)
DagsHub(What is DagsHub?)
Gotit.pub(What is GotitPub?)
Hugging Face(What is Huggingface?)
Papers with Code(What is Papers with Code?)
ScienceCast(What is ScienceCast?)
Demos
Recommenders and Search Tools
Influence Flower(What are Influence Flowers?)
CORE Recommender(What is CORE?)
arXivLabs: experimental projects with community collaborators
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.
Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.
Have an idea for a project that will add value for arXiv's community?Learn more about arXivLabs.