Model benchmarks
Qwen3-1.7B-GGUF local LLM performance
As of November 2026, Qwen3-1.7B-GGUF runs at up to 72.7 tok/s for local inference (best of 3 community benchmark runs across 1 GPU).
Model size
1.7B
Peak speed
72.7 tok/s
Average speed
72.2 tok/s
Avg PP
2162.8 tok/s
Min memory
n/a
Max context
65,536 tokens
Avg output / run
18,458 tokens
Avg runtime / run
5m 22s
Avg quality
37.3
Benchmark runs
3
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 3 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 | 27.2 | 37.3 | 44.2 |
| Agent Workflow | 21.5 | 34.9 | 51.7 |
| Code Generation | 6.1 | 27.2 | 40.6 |
| Role Play & Narrative | 43.7 | 48.4 | 56.4 |
| Research & Analysis | 35.8 | 38.6 | 41.3 |
Performance by hardware and tool
Every hardware/tool/quantization combination Qwen3-1.7B-GGUF has been benchmarked on, ranked by peak token generation speed. Last updated November 2026.
| Hardware | Tool | Quant | Best tok/s | Avg tok/s | Memory | Context | Quality | Runs |
|---|---|---|---|---|---|---|---|---|
| NVIDIA GeForce RTX 2050 | Lemonade | — | 72.7 tok/s | 72.2 tok/s | n/a | 65,536 tokens | 37.3 | 3 |
Benchmark runs
All 3 Qwen3-1.7B-GGUF runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.
Frequently asked questions
- Is Qwen3-1.7B-GGUF good for coding?
- In our benchmarks, Qwen3-1.7B-GGUF scores 27.2/100 for coding. It runs at about 72.2 tok/s, so if you want more speed, swift-1.5-27b is faster (~98.7 tok/s) and still scores well for coding (84.8/100).
- Is Qwen3-1.7B-GGUF good for agentic (tool-using) tasks?
- In our benchmarks, Qwen3-1.7B-GGUF scores 34.9/100 for agentic workflows. It runs at about 72.2 tok/s, so if you want more speed, Nex-N2.5-mini-APEX-Mini is faster (~88.2 tok/s) and still scores well for agentic workflows (91.3/100).
- How fast is Qwen3-1.7B-GGUF for local inference?
- Across 3 community benchmark runs, Qwen3-1.7B-GGUF reaches up to 72.7 tok/s and averages 72.2 tok/s, with the fastest results on NVIDIA GeForce RTX 2050.
- Which tools have been used to run Qwen3-1.7B-GGUF?
- Benchmarks were submitted using Lemonade. Results are community-contributed and updated as new runs arrive.