# DiscoLM German Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/discolm-german
> Markdown URL: https://aitinkerers.org/technologies/discolm-german.md
> Technology record last updated: 2026-05-02T10:03:01Z
> Generated: 2026-08-26T00:20:58Z

DiscoLM German 7b v1: A Mistral-based, 7-billion-parameter LLM specifically engineered for high-quality German language processing and robust translation tasks.

This is DiscoLM German 7b v1, a powerful Mistral-based LLM from DiscoResearch. We optimized it for German applications, leveraging SFT finetuning and DPO reinforcement learning on a massive instruction dataset (German and English). The result: exceptional German text generation and understanding, plus strong English fluency and translation capabilities. It's designed as a reliable, everyday drop-in replacement for proprietary models (e.g., ChatGPT), utilizing the ChatML format for OpenAI endpoint compatibility. Initial feedback indicates the German output quality often surpasses models like GPT-4 in perceived quality, making it a top-tier choice for your non-English-centric workflows.

- Official technology site: https://huggingface.co/DiscoResearch/DiscoLM_German_7b_v1
- Public AI Tinkerers demos and talks: 1
- Result page: 1 of 1

## Recent Public Talks and Demos

### [Current trends + advances in Open LLMs - brief roundup by DiscoResearch](https://munich.aitinkerers.org/talks/rsvp_DthW1r8bBm0)

Capability advances over the last few weeks/months enable LLM applications with local / on-premise models, that werent possible until a few weeks/months ago. We want to highlight a few of them with a short demo of DiscoLM German (successor to EM German, the most-downloaded open german-focussed LLM; will be released end of 2023). We´d also like to talk about lessons learned from recent DiscoLM projects (DiscoLM 120b, #3 HF leaderboard + DiscoLM Mixtral, first working Mixtral finetune wordwide) and about trends, datasets + roadmap for open LLM finetuning+customization (LLM-based eval for data filtering, DPO, finetuning for Agent/RAG capabilities ...) and how to get open LLMs into production. (this is a first braindump, exact focus of the talk tbc)

- Event context: AI Tinkerers Munich - January 18 — 2024-01-18 — Munich
- Public talk page: https://munich.aitinkerers.org/talks/rsvp_DthW1r8bBm0

## Related Technologies

- [DiscoLM 120b](https://aitinkerers.org/technologies/discolm-120b) ([Markdown](https://aitinkerers.org/technologies/discolm-120b.md)) — 1 public demo
- [DiscoLM Mixtral](https://aitinkerers.org/technologies/discolm-mixtral) ([Markdown](https://aitinkerers.org/technologies/discolm-mixtral.md)) — 1 public demo
- [EM German](https://aitinkerers.org/technologies/em-german) ([Markdown](https://aitinkerers.org/technologies/em-german.md)) — 1 public demo