Model benchmarks

JetBrains/Mellum2.1-12B-A2.5B-Thinking-GGUF:MXFP4_MOE local LLM performance

As of October 2026, JetBrains/Mellum2.1-12B-A2.5B-Thinking-GGUF:MXFP4_MOE runs at up to 181.5 tok/s for local inference (best of 9 community benchmark runs across 1 GPU).

llama.cpp
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Model size

12B

Peak speed

181.5 tok/s

Average speed

168.0 tok/s

Avg PP

1577.4 tok/s

Min memory

7.1 GB

Max context

32,768 tokens

Avg output / run

22,803 tokens

Avg runtime / run

2m 20s

Avg quality

68.0

Benchmark runs

9

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 9 runs. The low and high columns show how much the judge’s score varies between runs, and need at least two runs to display.

TaskP5 (low)AvgP95 (high)
Overall63.768.072.5
Agent Workflow59.272.783.9
Code Generation47.958.465.4
Role Play & Narrative63.971.875.3
Research & Analysis66.569.172.8

Performance by hardware and tool

Every hardware/tool/quantization combination JetBrains/Mellum2.1-12B-A2.5B-Thinking-GGUF:MXFP4_MOE has been benchmarked on, ranked by peak token generation speed. Last updated October 2026.

HardwareToolQuantBest tok/sAvg tok/sMemoryContextQualityRuns
AMD Radeon RX 9070/9070 XT/9070 GREllama.cpp—181.5 tok/s168.0 tok/s7.1 GB32,768 tokens68.09

Benchmark runs

All 9 JetBrains/Mellum2.1-12B-A2.5B-Thinking-GGUF:MXFP4_MOE runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.

Frequently asked questions

How fast is JetBrains/Mellum2.1-12B-A2.5B-Thinking-GGUF:MXFP4_MOE for local inference?
Across 9 community benchmark runs, JetBrains/Mellum2.1-12B-A2.5B-Thinking-GGUF:MXFP4_MOE reaches up to 181.5 tok/s and averages 168.0 tok/s, with the fastest results on AMD Radeon RX 9070/9070 XT/9070 GRE.
How much memory does JetBrains/Mellum2.1-12B-A2.5B-Thinking-GGUF:MXFP4_MOE need?
The leanest observed configuration used about 7.1 GB of memory.
Which tools have been used to run JetBrains/Mellum2.1-12B-A2.5B-Thinking-GGUF:MXFP4_MOE?
Benchmarks were submitted using llama.cpp. Results are community-contributed and updated as new runs arrive.