How fast is JetBrains/Mellum2.1-12B-A2.5B-Thinking-GGUF:Q8_0 for local inference?

Across 2 community benchmark runs, JetBrains/Mellum2.1-12B-A2.5B-Thinking-GGUF:Q8_0 reaches up to 179.5 tok/s and averages 179.0 tok/s, with the fastest results on AMD Radeon AI PRO R9700.

How much memory does JetBrains/Mellum2.1-12B-A2.5B-Thinking-GGUF:Q8_0 need?

The leanest observed configuration used about 14.4 GB of memory (quantizations tested: Q8_0).

Which tools have been used to run JetBrains/Mellum2.1-12B-A2.5B-Thinking-GGUF:Q8_0?

Benchmarks were submitted using llama.cpp. Results are community-contributed and updated as new runs arrive.

Model benchmarks

JetBrains/Mellum2.1-12B-A2.5B-Thinking-GGUF:Q8_0 local LLM performance

As of October 2026, JetBrains/Mellum2.1-12B-A2.5B-Thinking-GGUF:Q8_0 runs at up to 179.5 tok/s for local inference (best of 2 community benchmark runs across 1 GPU).

llama.cppQ8_0

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Model size

12B

Peak speed

179.5 tok/s

Average speed

179.0 tok/s

Avg PP

1596.9 tok/s

Min memory

14.4 GB

Max context

131,072 tokens

Avg output / run

23,733 tokens

Avg runtime / run

2m 17s

Avg quality

64.5

Benchmark runs

GPUs tested

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	60.8	64.5	68.2
Agent Workflow	57.1	69.0	80.9
Code Generation	43.3	55.0	66.7
Role Play & Narrative	75.6	77.0	78.4
Research & Analysis	46.8	57.0	67.1

Performance by hardware and tool

Every hardware/tool/quantization combination JetBrains/Mellum2.1-12B-A2.5B-Thinking-GGUF:Q8_0 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
AMD Radeon AI PRO R9700	llama.cpp	Q8_0	179.5 tok/s	179.0 tok/s	14.4 GB	131,072 tokens	64.5	2

Benchmark runs

All 2 JetBrains/Mellum2.1-12B-A2.5B-Thinking-GGUF:Q8_0 runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.

Open run page →

Frequently asked questions

How fast is JetBrains/Mellum2.1-12B-A2.5B-Thinking-GGUF:Q8_0 for local inference?: Across 2 community benchmark runs, JetBrains/Mellum2.1-12B-A2.5B-Thinking-GGUF:Q8_0 reaches up to 179.5 tok/s and averages 179.0 tok/s, with the fastest results on AMD Radeon AI PRO R9700.
How much memory does JetBrains/Mellum2.1-12B-A2.5B-Thinking-GGUF:Q8_0 need?: The leanest observed configuration used about 14.4 GB of memory (quantizations tested: Q8_0).
Which tools have been used to run JetBrains/Mellum2.1-12B-A2.5B-Thinking-GGUF:Q8_0?: Benchmarks were submitted using llama.cpp. Results are community-contributed and updated as new runs arrive.