The fastest method for installing this model locally is by using Docker.
Please follow the instructions listed below to get started.
The installer automatically pulls the model (could be multiple GBs).
The smart installation system will instantly find the perfect configuration for your specific hardware.
The **Qwen3.5-4B-GGUF** model delivers strong performance for a range of natural language tasks while maintaining a compact footprint. Built with 4B parameters and optimized for the GGUF quantization format, it balances speed and accuracy for both research and production environments. It supports a context window of up to 8192 tokens, enabling detailed reasoning and multi‑step problem solving without sacrificing latency. Benchmarks show the model achieves competitive perplexity scores on standard benchmarks while consuming less than 5 GB of GPU memory during inference. The integrated
| Parameters | 4 B |
| Context Length | 8192 tokens |
| Quantization | GGUF |
| Memory Usage (inference) | <5 GB |
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