TranslatedProvides a practical interactive interface for large language models (LLMs) such as GPT/GLM, with special optimization for the paper reading/polishing/writing experience. Modular design, supports custom shortcut buttons & function plugins, supports project analysis & self-translation for Python, C++ and other projects, PDF/LaTeX paper translation & summarization, supports querying multiple LLM models in parallel, and supports local models such as chatglm3. Integrates Tongyi Qianwen (Qwen), deepseekcoder, iFlytek Spark, ERNIE Bot (Wenxin Yiyan), llama2, rwkv, claude2, moss, and more.
Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3.8, DeepSeek-V4, GLM-5.1, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM5.3, Gemma4, Llava, Phi4, ...) (AAAI 2025).
TranslatedChatGLM3 series: Open Bilingual Chat LLMs
Sketch Material 3 Expressive screens in the browser and turn them into vibe-coding prompts.
- design-tool
- material-3-expressive
- material-design
- material3
Search your computer by what's in your files: photos, PDFs, documents, recordings, videos and code. On-device on Mac, Windows and Linux, built on Google DeepMind's EmbeddingGemma 2.
Run GLM-5.3-Flash (321B), DeepSeek-V4.1-Flash (748B) and MiniMax-M3.1-Flash (428B) on your own GPUs - one engine, one dashboard, OpenAI- and Anthropic-compatible API.
TranslatedUsing dense-compute cards to accelerate sparse, large-VRAM hosts, where the hosts include AI Max+ 395, M3 512G, DGX Spark, and others.
- llama-cpp
- pipeline-parallelism
- prefill-decode
- rtx-3060
TranslatedBullFlow — Open-source enterprise RAG solution: knowledge base → automated marketing content → omnichannel publishing. The entire knowledge base pipeline runs on local open-source models, with no paid models needed; AI Agent creates image-text posts / images / videos, with one-click publishing to 17 platforms including Douyin, Xiaohongshu, WeChat Official Accounts, LinkedIn, and YouTube. Commercial-grade, multi-tenant, billing & admin built in. MIT