Model benchmarks
unsloth/Qwen3.8-27B-UD-IQ4_XS local LLM performance
As of September 2026, unsloth/Qwen3.8-27B-UD-IQ4_XS runs at up to 46.8 tok/s for local inference (best of 2 community benchmark runs across 2 GPUs).
Model size
27B
Peak speed
46.8 tok/s
Average speed
42.4 tok/s
Avg PP
544.3 tok/s
Min memory
13.2 GB
Max context
65.536 tokens
Avg output / run
36.284 tokens
Avg runtime / run
13m 55s
Avg quality
79.0
Benchmark runs
2
GPUs tested
2
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 | 78.9 | 79.0 | 79.0 |
| Agent Workflow | 80.0 | 84.1 | 88.2 |
| Code Generation | 49.8 | 57.3 | 64.8 |
| Role Play & Narrative | 86.6 | 87.8 | 89.0 |
| Research & Analysis | 84.8 | 86.8 | 88.8 |
Performance by hardware and tool
Every hardware/tool/quantization combination unsloth/Qwen3.8-27B-UD-IQ4_XS has been benchmarked on, ranked by peak token generation speed. Last updated September 2026.
| Hardware | Tool | Quant | Best tok/s | Avg tok/s | Memory | Context | Quality | Runs |
|---|---|---|---|---|---|---|---|---|
| NVIDIA GeForce RTX 5070 Ti | llama.cpp | — | 46.8 tok/s | 46.8 tok/s | 13.2 GB | 32.768 tokens | 78.9 | 1 |
| NVIDIA GeForce RTX 5060 | llama.cpp | — | 38.1 tok/s | 38.1 tok/s | 13.2 GB | 65.536 tokens | 79.0 | 1 |
Benchmark runs
All 2 unsloth/Qwen3.8-27B-UD-IQ4_XS runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.
Frequently asked questions
- Is Qwen3.8-27B-UD-IQ4_XS good for coding?
- In our benchmarks, Qwen3.8-27B-UD-IQ4_XS scores 57.3/100 for coding. It runs at about 42.4 tok/s, so if you want more speed, unsloth/Qwen3.8-27B-GGUF:IQ3_S is faster (~104.3 tok/s) and still scores well for coding (83.0/100).
- Is Qwen3.8-27B-UD-IQ4_XS good for agentic (tool-using) tasks?
- In our benchmarks, Qwen3.8-27B-UD-IQ4_XS scores 84.1/100 for agentic workflows. It runs at about 42.4 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 unsloth/Qwen3.8-27B-UD-IQ4_XS for local inference?
- Across 2 community benchmark runs, unsloth/Qwen3.8-27B-UD-IQ4_XS reaches up to 46.8 tok/s and averages 42.4 tok/s, with the fastest results on NVIDIA GeForce RTX 5070 Ti.
- How much memory does unsloth/Qwen3.8-27B-UD-IQ4_XS need?
- The leanest observed configuration used about 13.2 GB of memory.
- Which tools have been used to run unsloth/Qwen3.8-27B-UD-IQ4_XS?
- Benchmarks were submitted using llama.cpp. Results are community-contributed and updated as new runs arrive.