Model benchmarks
ling-oq4e local LLM performance
As of September 2026, ling-oq4e runs at up to 47.9 tok/s for local inference (best of 4 community benchmark runs across 1 GPU).
Model size
Unknown
Peak speed
47.9 tok/s
Average speed
47.6 tok/s
Avg prefill
407.8 tok/s
Min memory
3.4 GB
Max context
8,192 tokens
Avg output / run
13,534 tokens
Avg runtime / run
4m 57s
Avg quality
46.1
Benchmark runs
4
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 4 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 | 40.9 | 46.1 | 52.5 |
| Agent Workflow | 47.4 | 64.1 | 77.0 |
| Code Generation | 0.0 | 6.2 | 21.1 |
| Role Play & Narrative | 55.9 | 59.5 | 63.2 |
| Research & Analysis | 48.4 | 54.8 | 60.7 |
Performance by hardware and tool
Every hardware/tool/quantization combination ling-oq4e 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 |
|---|---|---|---|---|---|---|---|---|
| Apple M1 | LM Studio | — | 47.9 tok/s | 47.6 tok/s | 3.4 GB | 8,192 tokens | 46.1 | 4 |
Frequently asked questions
- Is ling-oq4e good for coding?
- In our benchmarks, ling-oq4e scores 6.2/100 for coding. It runs at about 47.6 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 ling-oq4e good for agentic (tool-using) tasks?
- In our benchmarks, ling-oq4e scores 64.1/100 for agentic workflows. It runs at about 47.6 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 ling-oq4e for local inference?
- Across 4 community benchmark runs, ling-oq4e reaches up to 47.9 tok/s and averages 47.6 tok/s, with the fastest results on Apple M1.
- How much memory does ling-oq4e need?
- The leanest observed configuration used about 3.4 GB of memory.
- Which tools have been used to run ling-oq4e?
- Benchmarks were submitted using LM Studio. Results are community-contributed and updated as new runs arrive.