Details regarding all corpora used in this paper, data preparation and compression can be found in Supplementary Information: Corpora. In Supplementary Fig. 1, we visualize several important aspects of our database (also see Supplementary Table 4). Supplementary Fig. 1a shows that most corpora ...
| Code Model List | | Popular Code Model List | | Paper List | | Paper Stats | | Recent Preprints | Model List 2024 (616 Models as of March 6 2024) Click to expand! Kquant03/TechxGenus-starcoder2-15b-instruct-GGUF bartowski/starcoder2-15b-instruct-exl2 bartowski/starcoder2-15b-...
2024.09.19: The instruction-tuned Qwen2-VL-72B model and its quantized version [AWQ, GPTQ-Int4, GPTQ-Int8] are now available. We have also released the Qwen2-VL paper simultaneously. 2024.08.30: We have released the Qwen2-VL series. The 2B and 7B models are now available, and the...
Training and evaluation data was gathered from our database of research paper abstracts using the keywords “n-type", “p-type", “-dop", “-codop", “doped", “doping", and “dopant" (with exclusions for common irrelevant keywords such as “-dopamine"), resulting in ~375k total abstr...
Table A.1.Sign language acronyms or abbreviations used throughout the paper. The left column contains acronyms and the right column their full name. Entries are arranged alphabetically by the acronym/abbreviation. Table B.1.Links to the public datasets ofTable 5. ...
In this paper, we propose a domain-specific query language, specially designed to allow developers or domain experts to extract data from different social media. With this language we unify and simplify the mechanisms of data extraction from social networks such as Twitter and Facebook. ...
University of Hawai’i Second Langauge Studies Paper 26. Honolulu: University of Hawai’i. [Google Scholar] White, Lydia. 2003. Fossilization in steady state L2 grammars: Persistent problems with inflectional morphology. Bilingualism 6: 128–41. [Google Scholar] [CrossRef] Wood Bowden, Harriet....
Finally, given the broad spectrum of capabilities displayed by GPT-3, we discuss concerns about bias, fairness, and broader societal impacts, and attempt a preliminary analysis of GPT-3’s characteristics in this regard. The remainder of this paper is organized as follows. In Section 2, we ...
Finally, given the broad spectrum of capabilities displayed by GPT-3, we discuss concerns about bias, fairness, and broader societal impacts, and attempt a preliminary analysis of GPT-3’s characteristics in this regard. The remainder of this paper is organized as follows. In Section 2, we ...
If you still suffer from insufficient memory, you can consider Q-LoRA (paper), which uses the quantized large language model and other techniques such as paged attention to allow even fewer memory costs. Note: to run single-GPU Q-LoRA training, you may need to install mpi4py through pip ...