Run Qwen3-Coder-30B-A3B-Instruct Uncensored Edition Easy Build

For an instant local deployment, running a pre-configured shell script is ideal.

Please follow the instructions listed below to get started.

The setup auto-downloads all needed files (several GBs).

The installer will automatically analyze your hardware and select the optimal configuration.

📡 Hash Check: d045cfa0f4c4b2621f06d07b06639ce4 | 📅 Last Update: 2026-06-29 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: at least 32 GB in dual-channel mode for bandwidth Disk Space: at least 100 GB for multiple local LLM variants GPU: modern architecture (Ada Lovelace / Ampere minimum)

The Qwen3-Coder-30B-A3B-Instruct model is a large language model specifically optimized for code generation and software engineering tasks. It leverages an A3B architecture that balances parameter count and inference efficiency, delivering robust performance across multiple programming languages. With 30 billion parameters and a context window extending to 16 k tokens, the model can understand and generate lengthy code snippets and documentation. The model has been fine‑tuned on extensive public code repositories and instructional datasets, enabling it to follow complex coding conventions and best practices. In benchmarks such as HumanEval and MBPP, Qwen3-Coder-30B-A3B-Instruct consistently achieves top‑tier scores, often rivaling or surpassing specialized coding assistants. Below is a quick comparison of its core specifications:

1. Installer configuring local audio separation models for stem extraction
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3. Installer configuring automated VRAM defragmentation scheduling for persistent WebUI nodes
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5. Downloader pulling optimized mistral-nemo-12b weights for code documentation task systems
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7. Downloader pulling vision-encoder model layers for local automated drone testing
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9. Installer deploying local web scraping pipelines backed by offline LLMs
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11. Installer pre-configuring modern machine learning dependency matrices on local systems
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