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).
oMLX
Model size
8B
Peak speed
197.3 tok/s
Average speed
193.4 tok/s
Min memory
10.2 GB
Max context
7,116 tokens
Best quality
86.6
Benchmark runs
2
GPUs tested
1
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.
| Hardware | Tool | Quant | Best tok/s | Avg tok/s | Memory | Context | Quality | Runs |
|---|---|---|---|---|---|---|---|---|
| Apple M5 Max | oMLX | — | 197.3 tok/s | 193.4 tok/s | 10.2 GB | 7,116 tokens | 50.6 | 2 |
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.