Model benchmarks
unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF:UD-IQ3_XXS local LLM performance
As of October 2026, unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF:UD-IQ3_XXS runs at up to 121.6 tok/s for local inference (best of 2 community benchmark runs across 1 GPU).
Model size
30B
Peak speed
121.6 tok/s
Average speed
120.1 tok/s
Avg PP
1137.0 tok/s
Min memory
13.9 GB
Max context
32,768 tokens
Avg output / run
6,578 tokens
Avg runtime / run
58s
Avg quality
60.0
Benchmark runs
2
GPUs tested
1
Quality by task
Average LLM-judged quality (0–100) with the run-to-run spread shown as a P5–P95 band, overall and for each benchmark task, across all 2 runs. The low and high columns show how much the judge’s score varies between runs, and need at least two runs to display.
| Task | P5 (low) | Avg | P95 (high) |
|---|---|---|---|
| Overall | 59.6 | 60.0 | 60.4 |
| Agent Workflow | 35.2 | 52.6 | 69.9 |
| Code Generation | 59.1 | 62.1 | 65.1 |
| Role Play & Narrative | 64.8 | 68.9 | 72.9 |
| Research & Analysis | 47.7 | 56.4 | 65.1 |
Performance by hardware and tool
Every hardware/tool/quantization combination unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF:UD-IQ3_XXS has been benchmarked on, ranked by peak token generation speed. Last updated October 2026.
| Hardware | Tool | Quant | Best tok/s | Avg tok/s | Memory | Context | Quality | Runs |
|---|---|---|---|---|---|---|---|---|
| AMD Radeon RX 9070/9070 XT/9070 GRE | llama.cpp | — | 121.6 tok/s | 120.1 tok/s | 13.9 GB | 32,768 tokens | 60.0 | 2 |
Benchmark runs
All 2 unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF:UD-IQ3_XXS runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.
Frequently asked questions
- How fast is unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF:UD-IQ3_XXS for local inference?
- Across 2 community benchmark runs, unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF:UD-IQ3_XXS reaches up to 121.6 tok/s and averages 120.1 tok/s, with the fastest results on AMD Radeon RX 9070/9070 XT/9070 GRE.
- How much memory does unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF:UD-IQ3_XXS need?
- The leanest observed configuration used about 13.9 GB of memory.
- Which tools have been used to run unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF:UD-IQ3_XXS?
- Benchmarks were submitted using llama.cpp. Results are community-contributed and updated as new runs arrive.