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A large-scale language model for scientific domain, trained on redpajama arXiv split
The main features of gmftbygmftby/science-llm are: Industry Specific Models, Scientific and Domain Models.
Projects with overlapping indexed features include: duomo/transgpt — 🤗 TransGPT-7B • 🤗 TransGPT-MM-6B • 🤖 DUOMO • 💬 WeChat. alibaba-nlp/ecomgpt — An Instruction-tuned Large Language Model for E-commerce. clouditera/secgpt — SecGPT网络安全大模型. amzxyz/rime_wanxiang — This project is a CJK input method framework and configuration set designed for the Rime input engine. It provides a… davendw49/k2 — Code and datasets for paper "K2: A Foundation Language Model for Geoscience Knowledge Understanding and Utilization"… codefuse-ai/codefuse-devops-model — DevOps-Models is a series of industrial-first LLMs for theDevOps domain. Asking it for any question in the DevOps…
An Instruction-tuned Large Language Model for E-commerce
This project is a CJK input method framework and configuration set designed for the Rime input engine. It provides a comprehensive system of schemas and dictionary packs to optimize Chinese character entry through pinyin and double-pinyin workflows. The framework is distinguished by its use of Lua-powered extensions that add dynamic utilities, such as inline mathematical calculators, automated timestamps, and text formatting, directly to the input interface. It also features refined word libraries and language models specifically tuned to improve prediction accuracy and first-choice hit rates
