Model benchmarks
unsloth/SmolLM3-3B-GGUF local LLM performance
As of October 2026, unsloth/SmolLM3-3B-GGUF runs at up to 47.6 tok/s for local inference (best of 2 community benchmark runs across 1 GPU).
Model size
3B
Peak speed
47.6 tok/s
Average speed
38.9 tok/s
Avg PP
424.6 tok/s
Min memory
3.3 GB
Max context
65,536 tokens
Avg output / run
48,199 tokens
Avg runtime / run
23m 27s
Avg quality
17.8
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 | 7.5 | 17.8 | 28.1 |
| Agent Workflow | 16.1 | 32.2 | 48.3 |
| Code Generation | 0.6 | 5.7 | 10.8 |
| Role Play & Narrative | 5.1 | 9.4 | 13.7 |
| Research & Analysis | 8.1 | 23.9 | 39.6 |
Performance by hardware and tool
Every hardware/tool/quantization combination unsloth/SmolLM3-3B-GGUF 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 |
|---|---|---|---|---|---|---|---|---|
| Intel(R) Arc(TM) 140V GPU (16GB) | Unsloth Studio | UD-IQ2_XXS | 47.6 tok/s | 47.6 tok/s | 3.3 GB | 8,192 tokens | 6.3 | 1 |
| Intel(R) Arc(TM) 140V GPU (16GB) | Unsloth Studio | UD-Q4_K_XL | 30.1 tok/s | 30.1 tok/s | 9.6 GB | 65,536 tokens | 29.3 | 1 |
Benchmark runs
All 2 unsloth/SmolLM3-3B-GGUF runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.
Frequently asked questions
- Is unsloth/SmolLM3-3B-GGUF good for coding?
- In our benchmarks, unsloth/SmolLM3-3B-GGUF scores 5.7/100 for coding. It runs at about 38.9 tok/s, so if you want more speed, K2-Horizon-MoVA-36B-A4B-MLX-4bit is faster (~48.5 tok/s) and still scores well for coding (82.5/100).
- Is unsloth/SmolLM3-3B-GGUF good for agentic (tool-using) tasks?
- In our benchmarks, unsloth/SmolLM3-3B-GGUF scores 32.2/100 for agentic workflows. It runs at about 38.9 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 unsloth/SmolLM3-3B-GGUF for local inference?
- Across 2 community benchmark runs, unsloth/SmolLM3-3B-GGUF reaches up to 47.6 tok/s and averages 38.9 tok/s, with the fastest results on Intel(R) Arc(TM) 140V GPU (16GB).
- How much memory does unsloth/SmolLM3-3B-GGUF need?
- The leanest observed configuration used about 3.3 GB of memory (quantizations tested: UD-IQ2_XXS, UD-Q4_K_XL).
- Which tools have been used to run unsloth/SmolLM3-3B-GGUF?
- Benchmarks were submitted using Unsloth Studio. Results are community-contributed and updated as new runs arrive.