Auto Localize

➥ @openmind_agi nuked fixed-start constraints: om1 and fabric = wake anywhere, auto-localize, fleet-sync awareness for faster deploys and true plug-and-play autonomy

Exciting news! 🎉 "Auto Localize" now supports local LLM apps like LM Studio & Ollama. ✅ Localize your apps without online API fees. ✅ Keep your data 100% private on your machine. Take control of your localization workflow today! https://t.co/DqgCEqLhD2 #localization #l10n #indiedev #ai #llm #ollama #lmstudio @lmstudio @ollama

@auto_localize @awnihannun thanks! I'll give it a shot 🔥

@OrganicGPT @awnihannun If you need a load balancer, you can try our open sourced project. https://t.co/F8XTW2id1m

@lmstudio @auto_localize Please enable the batched server flag 🙏🥹 https://t.co/vbEZ5XlIHr

@jwei221 As I know, it is a capability for LLM runtimes. In LM Studio there is an experimental option for KV Cache. But I don't know whether it is something you are looking for.

@auto_localize and between computers?

@auto_localize Interesting workaround to load the model multiple times.

@auto_localize > FREE >it's $10k

@auto_localize I’ve tried it, the sweet spot is four modem. I’ve tried four simultaneous running of Qwen 30B A3B at the same time. The work load had the context size of approximately 70k. More than 5 model, the performance started to diminish on Mac Studio M3 512.

@auto_localize Great work! On problem for me using local llm for coding is that, all the calls to chat/completions is stateless, do you have special tricks to cache the prompt/kv?

LM Studio queues requests for a single loaded model instance, not allowing true parallelism (at least for now). THE TRICK : If you have sufficient VRAM, you can load the same model multiple times under different names (instances). Simultaneous requests to these instances will process in parallel. OUR SETUP : We leveraged our office M3 Ultra (512GB VRAM!) machine, simultaneously loading 8 instances of the Qwen3-Coder-30b model via LM Studio. We then built a custom Load Balancer application to route developer requests. RESULT : A high-throughput, parallel, local, and FREE LLM service serving every developer in the office! We've now open-sourced the Load Balancer app which is also developed using GLM 4.6 on LM Studio 😎. Hope this helps others with similar needs. https://t.co/TGXNFTkAFl Huge thanks to the @lmstudio team for building such a fantastic tool! #LLM #LocalAI #LMStudio #M3Ultra #VRAM #OpenSource @ivanfioravanti

@ivanfioravanti Great news! It's not just that local inference is working, but its ease of use is also very valuable. Congratulations on your work. Thank you👏

Great performance! Does Batch Inference work when using LM Studio? We are using the Cline extension by connecting it through the LM Studio server. How can we benefit from Batch Inference performance while doing this? Or do we have any options other than LM Studio for our M3 Ultra to connect Cline extension?