Quick Run Qwen3.6-35B-A3B-MTP-GGUF Quantized GGUF
Quick Run Qwen3.6-35B-A3B-MTP-GGUF Quantized GGUF
Quick Run Qwen3.6-35B-A3B-MTP-GGUF Quantized GGUF



To install this model locally in the shortest time, opt for a direct curl execution.




Go through the configuration rules shown below.



The loader auto-caches the model archive (several GBs included).




The smart installation system will instantly find the perfect configuration.



📊 File Hash: 6790a73d1f73dd15094c181c661d61e9 — Last update: 2026-06-28


  • Processor: 6-core 3.5 GHz minimum required
  • RAM: 64 GB to avoid OOM crashes on large contexts
  • Disk: 150+ GB for high-context vector database storage
  • Graphics: stable 30+ tk/s at 4-bit quantization on medium setup
The Qwen3.6-35B-A3B-MTP-GGUF model represents a significant advancement in large language models, combining 35B parameters with an innovative A3B architecture to deliver high performance across diverse tasks. Its multi-token prediction (MTP) capability enables the model to generate multiple plausible continuations in a single forward pass, dramatically improving inference speed and output quality. By leveraging GGUF quantization, the model achieves efficient inference on consumer‑grade hardware while preserving the nuanced understanding learned from extensive training data. The model supports a broad language repertoire, handling technical documentation, creative writing, and conversational AI with comparable accuracy to its larger counterparts. Benchmarks show that Qwen3.6-35B-A3B-MTP-GGUF outperforms many 70B‑parameter models on reasoning and language comprehension tasks, making it a compelling choice for developers seeking powerful yet accessible AI solutions.
Parameters35B
Context Length8K tokens
QuantizationGGUF
ArchitectureA3B
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