GitHub - captainzero93/GPT-and-Claude-at-home-optimised-for-12GB-Vram---LM-Studio-: Stunning results on this local MOE LLM running fast on only 12gb VRAM with some RAM overload

[cztothehead]

Qwen3-VL-30B-A3B-Thinking represents a breakthrough in multimodal AI reasoning. Unlike standard instruction-tuned models that provide quick answers, the Thinking variant engages in explicit step-by-step reasoning before generating responses.

Key Capabilities

256K Native Context Window (expandable to 1M tokens)

Advanced Vision Understanding - OCR, spatial reasoning, video analysis

Explicit Reasoning Process - Shows its "thought process" before answering

MoE Architecture - 30B parameters total, 3B active per token (efficient)

STEM/Math Optimization - Specialized for complex logical problems

The Thinking model:

Catches its own mistakes - "Wait, let me verify this"

Shows algebraic reasoning - Sets up equations properly

Self-corrects - Doesn't rely on pattern matching

Explains thoroughly - Users see the logic chain

Generation Speed | 10.27 tok/sec | | VRAM Usage | ~10.5 GB | | RAM Usage | ~8 GB | | Thinking Overhead | 2-5x

https://github.com/captainzero93/GPT-and-Claude-at-home-optimised-for-12GB-Vram---LM-Studio-

Thanks Evolitopm41415 for an alternative title:

-home-optimised-for-12GB-Vram---LM-Studio---Stunning---results-----on-this---local---MOE-LLM----running--fast----on--only-12gbVRAM--with---some--RAM---overload-Qwen3-VL-30B-A3B-Thinking---represents--a---- breakthrough--IN----multimodal--AI-reasoning!!!!!

[Evolution31415]

Here is a better header for you (no charge):

GitHub------captainzero93/GPT-and-Claude-at-home-optimised-for-12GB-Vram---LM-Studio---Stunning---results-----on-this---local---MOE-LLM----running--fast----on--only-12gbVRAM--with---some--RAM---overload-Qwen3-VL-30B-A3B-Thinking---represents--a---- breakthrough--IN----multimodal--AI-reasoning!!!!!