Model benchmarks

LFM2.5-8B-A1B-MLX-8bit local LLM performance

As of August 2026, LFM2.5-8B-A1B-MLX-8bit runs at up to 197.3 tok/s for local inference (best of 2 community benchmark runs across 1 GPU).

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Model size

8B

Peak speed

197.3 tok/s

Average speed

193.4 tok/s

Min memory

10.2 GB

Max context

65,536 tokens

Avg runtime / run

1m 30s

Avg quality

48.0

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.

TaskP5 (low)AvgP95 (high)
Overall46.048.050.0
Agent Workflow64.765.365.9
Code Generation7.79.912.0
Role Play & Narrative67.968.068.2
Research & Analysis43.848.954.0

Performance by hardware and tool

Every hardware/tool/quantization combination LFM2.5-8B-A1B-MLX-8bit has been benchmarked on, ranked by peak token generation speed. Last updated August 2026.

HardwareToolQuantBest tok/sAvg tok/sMemoryContextQualityRuns
Apple M5 MaxoMLX—197.3 tok/s193.4 tok/s10.2 GB65,536 tokens48.02

Benchmark runs

All 2 LFM2.5-8B-A1B-MLX-8bit runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.

Frequently asked questions

How fast is LFM2.5-8B-A1B-MLX-8bit for local inference?
Across 2 community benchmark runs, LFM2.5-8B-A1B-MLX-8bit reaches up to 197.3 tok/s and averages 193.4 tok/s, with the fastest results on Apple M5 Max.
How much memory does LFM2.5-8B-A1B-MLX-8bit need?
The leanest observed configuration used about 10.2 GB of memory.
Which tools have been used to run LFM2.5-8B-A1B-MLX-8bit?
Benchmarks were submitted using oMLX. Results are community-contributed and updated as new runs arrive.