Model benchmarks
Qwen3.8-27B-GPTQ-W4A16 local LLM performance
As of August 2026, Qwen3.8-27B-GPTQ-W4A16 runs at up to 47.7 tok/s for local inference (best of 2 community benchmark runs across 1 GPU).
Model size
27B
Peak speed
47.7 tok/s
Average speed
47.1 tok/s
Min memory
n/a
Max context
65,536 tokens
Avg runtime / run
3m 49s
Avg quality
70.1
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 | 61.0 | 70.1 | 79.1 |
| Agent Workflow | 41.7 | 55.4 | 69.1 |
| Code Generation | 38.8 | 57.0 | 75.1 |
| Role Play & Narrative | 79.6 | 81.9 | 84.2 |
| Research & Analysis | 83.7 | 85.9 | 88.2 |
Performance by hardware and tool
Every hardware/tool/quantization combination Qwen3.8-27B-GPTQ-W4A16 has been benchmarked on, ranked by peak token generation speed. Last updated August 2026.
| Hardware | Tool | Quant | Best tok/s | Avg tok/s | Memory | Context | Quality | Runs |
|---|---|---|---|---|---|---|---|---|
| AMD Radeon RX 7900 XTX | vLLM | — | 47.7 tok/s | 47.1 tok/s | n/a | 65,536 tokens | 70.1 | 2 |
Benchmark runs
All 2 Qwen3.8-27B-GPTQ-W4A16 runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.
Frequently asked questions
- Is Qwen3.8-27B-GPTQ-W4A16 good for coding?
- In our benchmarks, Qwen3.8-27B-GPTQ-W4A16 scores 57.0/100 for coding. It runs at about 47.1 tok/s, so if you want more speed, local-qwen is faster (~60.2 tok/s) and still scores well for coding (84.8/100).
- Is Qwen3.8-27B-GPTQ-W4A16 good for agentic (tool-using) tasks?
- In our benchmarks, Qwen3.8-27B-GPTQ-W4A16 scores 55.4/100 for agentic workflows. It runs at about 47.1 tok/s, so if you want more speed, granite-4.2-8b-Q4_K_L is faster (~71.6 tok/s) and still scores well for agentic workflows (92.9/100).
- How fast is Qwen3.8-27B-GPTQ-W4A16 for local inference?
- Across 2 community benchmark runs, Qwen3.8-27B-GPTQ-W4A16 reaches up to 47.7 tok/s and averages 47.1 tok/s, with the fastest results on AMD Radeon RX 7900 XTX.
- Which tools have been used to run Qwen3.8-27B-GPTQ-W4A16?
- Benchmarks were submitted using vLLM. Results are community-contributed and updated as new runs arrive.