Qwen3 Coder 30B A3B Instruct
Model Overview¶
Qwen3-Coder-30B-A3B-Instruct model maintains impressive performance and efficiency, featuring the following key enhancements:
- Significant Performance among open models on Agentic Coding, Agentic Browser-Use, and other foundational coding tasks.
- Long-context Capabilities with native support for 256K tokens, extendable up to 1M tokens using Yarn, optimized for repository-scale understanding.
- Agentic Coding supporting for most platform such as Qwen Code, CLINE, featuring a specially designed function call format.
Model Architecture¶
- Type: Causal Language Model (CLM)
- Number of Parameters: 30.5B in total and 3.3B activated
- Number of Layers: 48
- Number of Attention Heads (GQA): 32 for Q and 4 for KV
- Number of Experts: 128
- Number of Activated Experts: 8
- Context Length: 262,144 natively.
- Model Source: Qwen/Qwen3-Coder-30B-A3B-Instruct
- License: apache-2.0
QPC Configurations¶
| Precision | SoCs / Tensor slicing | NSP-Cores (per SoC) | Full Batch Size | Chunking Prompt Length | Context Length (CL) | Generated URL | Download | Generation Date |
|---|---|---|---|---|---|---|---|---|
| MXFP6 | 2 | 16 | 1 | 1 | 4096 | https://dc00tk1pxen80.cloudfront.net/SDK1.20.4/Qwen/Qwen3-Coder-30B-A3B-Instruct/Qwen3_Coder_30B_A3B_Instruct_qpc_16cores_1pl_4096cl_1bs_2devices_mxfp6_mxint8.tar.gz | Download | 05-Feb-2026 |
| MXFP6 | 2 | 16 | 1 | 1 | 8192 | https://dc00tk1pxen80.cloudfront.net/SDK1.20.4/Qwen/Qwen3-Coder-30B-A3B-Instruct/Qwen3_Coder_30B_A3B_Instruct_qpc_16cores_1pl_8192cl_1bs_2devices_mxfp6_mxint8.tar.gz | Download | 05-Feb-2026 |
Run This Model¶
# Download QPC
mkdir -p Qwen/Qwen3-Coder-30B-A3B-Instruct
cd Qwen/Qwen3-Coder-30B-A3B-Instruct
wget <Download URL>
tar xzvf <downloaded filename.tar.gz>
# Run QPC
python3 -m QEfficient.cloud.execute --model_name Qwen/Qwen3-Coder-30B-A3B-Instruct --qpc_path <path/to/qpc> --prompt "# shortest path algorithm\n" --generation_len 128
API Endpoint¶
# Start REST endpoint with vLLM
VLLM_QAIC_MAX_CPU_THREADS=8 VLLM_QAIC_QPC_PATH=/path/to/qpc python3 -m vllm.entrypoints.openai.api_server \
--host 0.0.0.0 \
--port 8000 \
--model Qwen/Qwen3-Coder-30B-A3B-Instruct \
--max-model-len <Context Length> \
--max-num-seq <Full Batch Size> \
--max-seq_len-to-capture <Chunking Prompt Length> \
--device qaic \
--block-size 32