LM Studio thread hunts uncensored local AI

This is really a workflow question, not a model showdown: the buyer wants something that fits local hardware, stays useful on technical tasks, and refuses less often.

• –LM Studio’s value here is the offline runtime and OpenAI-compatible local server, not the model itself.
• –On 12GB VRAM, quantized 7B to 14B-class models are the practical sweet spot; bigger models usually mean slower, more CPU-heavy runs.
• –For pentest study, code quality and instruction-following matter more than “uncensored” branding, which is often a proxy for fewer guardrails rather than better technical reasoning.
• –The thread reflects a durable local-AI niche: users who want privacy, control, and predictable behavior without cloud dependency.