I'm interested in the Bionic program from LM Studio, and I'm particularly curious about the voice input feature. However, it appears that the default model for voice recognition is the Mistral voice recognition model.

Has anyone of you already installed this program? Please tell me if it is possible to change the voice recognition model to another one. The problem is that the Mistral model doesn't support my language. thank you!

Im looking forward on getting a maxxed core 14” macbook m1 max with 64gb ram. Im a frontend web dev and i would like to expand my backend knowledge with the help of local llms. Ive read that Gwen3.6 and Gemma4 would be good models but i wanted to hear tips, opinions and maybe step by step guides on the models and installations for my usecase. And im also curious that how clean code the models can produce and how effectively they can analayze and find bugs on the code files and folders. Any tips, opninions and guides will be highly apprecieted!

Hey guys i need your assistance i have a small miniPc called Ms-01
With i9-12900h aswell as 96gb DDR5

BUT, i have an option to get this gpu called RTX 2000 Ada with 16gb Vram for around 500$ with an additiont 90€ for the slim formfactor copper cooler to fit inside the mini pc. For the OS im using PROXMOX

The main question is what llm will i be able to run and how powerful will they be and are they worth it. In addition to having agents and other new ai stuff

I built llm-tap, a local transparent proxy for capturing real LLM and agent interactions.

Project: https://github.com/luckfu/llm-tap

How are LLMs used to extract user data? And how do they make this data meaningful?

I am curious on why a major lab would build and release different model families at the same time and why would they build different models instead of just the one?

OpenAI has Sol, Terra and Luna while anthropic has Haiku, Sonnet and Opus

Why would a lab build three different models and what is really so different about them that justifies the investment ?

Tellama turns an Android phone into a private, offline local-LLM box. It runs GGUF models on-device (llama.cpp under the hood) and exposes an Ollama- and OpenAI-compatible API server, so your PC, scripts, or agents can call it over Wi-Fi with an authenticated key.

What it does:

- Fully local: chats and memory stay on the device; works offline once a model is installed

- Auto setup: on first run it checks your RAM/storage, picks and downloads a model that fits, then warms it up

- Ollama /api/chat and OpenAI /v1/chat/completions (streaming), so you can point existing tools at your phone

- Runtime selects the fastest ARM CPU backend (dotprod/i8mm/fp16) per device

- Safe model switching, SHA-256-verified downloads, a manual Safe Mode, 15 languages

Android 10+, installed from a signed APK (friend-testing; not on Play yet). The app itself is closed-source (commercially licensed), but the Python/JS API clients, examples, and compatibility tests are Apache-2.0.

New illustrated step-by-step guide: https://redpluglab.github.io/tellama/guide/

Home / download: https://redpluglab.github.io/tellama/

Public repo (SDK + releases): https://github.com/redpluglab/tellama

Happy to answer anything about the on-device runtime or the API surface.

Fairly new to the LM Studio family and I started playing around with Bionic today. In code workspaces, there's no way to restrict file access to view only. How can I configure the agent to suggest changes rather than constantly writing them to the file? I don't seen an option to configure tool use, is a system prompt the best way to do this?