How fast is unsloth/LFM2.5-1.2B-Thinking-GGUF for local inference?

Across 2 community benchmark runs, unsloth/LFM2.5-1.2B-Thinking-GGUF reaches up to 329.7 tok/s and averages 316.9 tok/s, with the fastest results on NVIDIA GeForce RTX 4070.

How much memory does unsloth/LFM2.5-1.2B-Thinking-GGUF need?

The leanest observed configuration used about 600 MB of memory.

Which tools have been used to run unsloth/LFM2.5-1.2B-Thinking-GGUF?

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

Model benchmarks

unsloth/LFM2.5-1.2B-Thinking-GGUF local LLM performance

As of September 2026, unsloth/LFM2.5-1.2B-Thinking-GGUF runs at up to 329.7 tok/s for local inference (best of 2 community benchmark runs across 1 GPU).

llama.cpp

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Model size

1.2B

Peak speed

329.7 tok/s

Average speed

316.9 tok/s

Avg PP

1167.1 tok/s

Min memory

600 MB

Max context

32.768 tokens

Avg output / run

14.528 tokens

Avg runtime / run

49s

Avg quality

30.1

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	28.0	30.1	32.1
Agent Workflow	37.1	38.1	39.1
Code Generation	3.6	4.3	5.0
Role Play & Narrative	50.6	56.5	62.5
Research & Analysis	18.8	21.3	23.7

Performance by hardware and tool

Every hardware/tool/quantization combination unsloth/LFM2.5-1.2B-Thinking-GGUF has been benchmarked on, ranked by peak token generation speed. Last updated September 2026.

Hardware	Tool	Quant	Best tok/s	Avg tok/s	Memory	Context	Quality	Runs
NVIDIA GeForce RTX 4070	llama.cpp	—	329.7 tok/s	316.9 tok/s	600 MB	32.768 tokens	30.1	2

Benchmark runs

All 2 unsloth/LFM2.5-1.2B-Thinking-GGUF runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.

Frequently asked questions

How fast is unsloth/LFM2.5-1.2B-Thinking-GGUF for local inference?: Across 2 community benchmark runs, unsloth/LFM2.5-1.2B-Thinking-GGUF reaches up to 329.7 tok/s and averages 316.9 tok/s, with the fastest results on NVIDIA GeForce RTX 4070.
How much memory does unsloth/LFM2.5-1.2B-Thinking-GGUF need?: The leanest observed configuration used about 600 MB of memory.
Which tools have been used to run unsloth/LFM2.5-1.2B-Thinking-GGUF?: Benchmarks were submitted using llama.cpp. Results are community-contributed and updated as new runs arrive.