Model benchmarks
mradermacher-GRM-3.2-Sky.i1-Q6_K local LLM performance
As of October 2026, mradermacher-GRM-3.2-Sky.i1-Q6_K runs at up to 12.3 tok/s for local inference (best of 5 community benchmark runs across 1 GPU).
Model size
Unknown
Peak speed
12.3 tok/s
Average speed
11.2 tok/s
Avg PP
150.4 tok/s
Min memory
n/a
Max context
262,144 tokens
Avg output / run
12,852 tokens
Avg runtime / run
20m 37s
Avg quality
79.6
Benchmark runs
5
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 5 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 | 76.9 | 79.6 | 82.6 |
| Agent Workflow | 67.0 | 78.3 | 84.9 |
| Code Generation | 71.1 | 73.7 | 77.7 |
| Role Play & Narrative | 82.3 | 84.5 | 87.8 |
| Research & Analysis | 79.1 | 81.8 | 86.7 |
Performance by hardware and tool
Every hardware/tool/quantization combination mradermacher-GRM-3.2-Sky.i1-Q6_K 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 Graphics | ik_llama.cpp:cpu | Q6_K | 12.3 tok/s | 11.5 tok/s | n/a | 262,144 tokens | 79.3 | 2 |
| Intel Graphics | llama.cpp:cpu | Q6_K | 11.0 tok/s | 10.9 tok/s | n/a | 262,144 tokens | 79.8 | 3 |
Benchmark runs
All 5 mradermacher-GRM-3.2-Sky.i1-Q6_K runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.
Frequently asked questions
- Is mradermacher-GRM-3.2-Sky.i1-Q6_K good for coding?
- In our benchmarks, mradermacher-GRM-3.2-Sky.i1-Q6_K scores 73.7/100 for coding. It runs at about 11.2 tok/s, so if you want more speed, Qwen3.8-27B-oQ4e-fp16-mtp is faster (~38.6 tok/s) and still scores well for coding (82.6/100).
- Is mradermacher-GRM-3.2-Sky.i1-Q6_K good for agentic (tool-using) tasks?
- In our benchmarks, mradermacher-GRM-3.2-Sky.i1-Q6_K scores 78.3/100 for agentic workflows. It runs at about 11.2 tok/s, so if you want more speed, muse-glimmer:latest is faster (~33.3 tok/s) and still scores well for agentic workflows (91.6/100).
- How fast is mradermacher-GRM-3.2-Sky.i1-Q6_K for local inference?
- Across 5 community benchmark runs, mradermacher-GRM-3.2-Sky.i1-Q6_K reaches up to 12.3 tok/s and averages 11.2 tok/s, with the fastest results on Intel Graphics.
- How much memory does mradermacher-GRM-3.2-Sky.i1-Q6_K need?
- The leanest observed configuration used about n/a of memory (quantizations tested: Q6_K).
- Which tools have been used to run mradermacher-GRM-3.2-Sky.i1-Q6_K?
- Benchmarks were submitted using ik_llama.cpp:cpu, llama.cpp:cpu. Results are community-contributed and updated as new runs arrive.