Qwen3.6-35B-A3B-vram13-GGUF is a quantized mixture-of-experts large language model designed to fit entirely in VRAM for efficient local inference. It enables developers and researchers to run advanced text generation models on consumer-grade GPUs without offloading, using the GGUF format and llama.cpp compatibility.
Qwen3.6 35B A3B Vram13 sits in PulseGate's Foundation models & chat category. It focuses on running large language models locally on consumer GPUs with reduced memory requirements. It is built as an open-source project for AI researchers and developers. Qwen3.6 35B A3B Vram13 is open source under the MIT license. The product ships for the web, the command line, and API, and it can be self-hosted.
It is developed by xero0000, and the product first shipped in 2023. Development happens publicly on GitHub with 2.9k stars and 306 commits in the last 90 days. The category is crowded — PulseGate's index counts 25 comparable apps. Key capabilities include quantized weights, text generation, and speculative decoding.
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