Model benchmarks
Gryphe/Gemma-4-31B-StyleTune:MY-Q4_K_XL local LLM performance
As of October 2026, Gryphe/Gemma-4-31B-StyleTune:MY-Q4_K_XL runs at up to 45.3 tok/s for local inference (best of 2 community benchmark runs across 1 GPU).
Model size
31B
Peak speed
45.3 tok/s
Average speed
44.4 tok/s
Avg PP
648.0 tok/s
Min memory
27.2 GB
Max context
65,536 tokens
Avg output / run
10,073 tokens
Avg runtime / run
3m 56s
Avg quality
75.6
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 | 73.1 | 75.6 | 78.1 |
| Agent Workflow | 83.3 | 84.7 | 86.1 |
| Code Generation | 52.1 | 59.7 | 67.2 |
| Role Play & Narrative | 87.9 | 89.1 | 90.3 |
| Research & Analysis | 68.7 | 68.8 | 68.9 |
Performance by hardware and tool
Every hardware/tool/quantization combination Gryphe/Gemma-4-31B-StyleTune:MY-Q4_K_XL 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 |
|---|---|---|---|---|---|---|---|---|
| NVIDIA GeForce RTX 3080 Ti | llama.cpp | Q4_K | 45.3 tok/s | 44.4 tok/s | 27.2 GB | 65,536 tokens | 75.6 | 2 |
Benchmark runs
All 2 Gryphe/Gemma-4-31B-StyleTune:MY-Q4_K_XL runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.
Frequently asked questions
- Is Gryphe/Gemma-4-31B-StyleTune:MY-Q4_K_XL good for coding?
- In our benchmarks, Gryphe/Gemma-4-31B-StyleTune:MY-Q4_K_XL scores 59.7/100 for coding. It runs at about 44.4 tok/s, so if you want more speed, local-qwen is faster (~60.2 tok/s) and still scores well for coding (84.8/100).
- Is Gryphe/Gemma-4-31B-StyleTune:MY-Q4_K_XL good for agentic (tool-using) tasks?
- In our benchmarks, Gryphe/Gemma-4-31B-StyleTune:MY-Q4_K_XL scores 84.7/100 for agentic workflows. It runs at about 44.4 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 Gryphe/Gemma-4-31B-StyleTune:MY-Q4_K_XL for local inference?
- Across 2 community benchmark runs, Gryphe/Gemma-4-31B-StyleTune:MY-Q4_K_XL reaches up to 45.3 tok/s and averages 44.4 tok/s, with the fastest results on NVIDIA GeForce RTX 3080 Ti.
- How much memory does Gryphe/Gemma-4-31B-StyleTune:MY-Q4_K_XL need?
- The leanest observed configuration used about 27.2 GB of memory (quantizations tested: Q4_K).
- Which tools have been used to run Gryphe/Gemma-4-31B-StyleTune:MY-Q4_K_XL?
- Benchmarks were submitted using llama.cpp. Results are community-contributed and updated as new runs arrive.