How fast is LiquidAI/LFM2.5-350M-GGUF for local inference?

Across 2 community benchmark runs, LiquidAI/LFM2.5-350M-GGUF reaches up to 779.9 tok/s and averages 764.4 tok/s, with the fastest results on NVIDIA GeForce RTX 4070.

How much memory does LiquidAI/LFM2.5-350M-GGUF need?

The leanest observed configuration used about 1.8 GB of memory (quantizations tested: Q4_0, Q4_K_M).

Which tools have been used to run LiquidAI/LFM2.5-350M-GGUF?

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

Model benchmarks

LiquidAI/LFM2.5-350M-GGUF local LLM performance

As of September 2026, LiquidAI/LFM2.5-350M-GGUF runs at up to 779.9 tok/s for local inference (best of 2 community benchmark runs across 1 GPU).

Unsloth StudioQ4_0Q4_K_M

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Model size

354M

Peak speed

779.9 tok/s

Average speed

764.4 tok/s

Avg PP

2770.5 tok/s

Min memory

1.8 GB

Max context

65,536 tokens

Avg output / run

3,034 tokens

Avg runtime / run

Avg quality

12.2

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	10.2	12.2	14.3
Agent Workflow	10.1	11.6	13.1
Code Generation	0.1	0.8	1.4
Role Play & Narrative	17.1	22.0	26.9
Research & Analysis	9.0	14.6	20.1

Performance by hardware and tool

Every hardware/tool/quantization combination LiquidAI/LFM2.5-350M-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	Unsloth Studio	Q4_0	779.9 tok/s	779.9 tok/s	1.8 GB	65,536 tokens	10.0	1
NVIDIA GeForce RTX 4070	Unsloth Studio	Q4_K_M	748.8 tok/s	748.8 tok/s	1.9 GB	65,536 tokens	14.5	1

Benchmark runs

All 2 LiquidAI/LFM2.5-350M-GGUF runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.

Open run page →

Frequently asked questions

How fast is LiquidAI/LFM2.5-350M-GGUF for local inference?: Across 2 community benchmark runs, LiquidAI/LFM2.5-350M-GGUF reaches up to 779.9 tok/s and averages 764.4 tok/s, with the fastest results on NVIDIA GeForce RTX 4070.
How much memory does LiquidAI/LFM2.5-350M-GGUF need?: The leanest observed configuration used about 1.8 GB of memory (quantizations tested: Q4_0, Q4_K_M).
Which tools have been used to run LiquidAI/LFM2.5-350M-GGUF?: Benchmarks were submitted using Unsloth Studio. Results are community-contributed and updated as new runs arrive.