How fast is LiquidAI/LFM3-1.7B-GGUF for local inference?

Across 3 community benchmark runs, LiquidAI/LFM3-1.7B-GGUF reaches up to 254.6 tok/s and averages 187.3 tok/s, with the fastest results on NVIDIA GeForce RTX 4070.

How much memory does LiquidAI/LFM3-1.7B-GGUF need?

The leanest observed configuration used about 3.5 GB of memory (quantizations tested: Q4_0).

Which tools have been used to run LiquidAI/LFM3-1.7B-GGUF?

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

Model benchmarks

LiquidAI/LFM3-1.7B-GGUF local LLM performance

As of October 2026, LiquidAI/LFM3-1.7B-GGUF runs at up to 254.6 tok/s for local inference (best of 3 community benchmark runs across 2 GPUs).

Unsloth StudioQ4_0

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Model size

1.7B

Peak speed

254.6 tok/s

Average speed

187.3 tok/s

Avg PP

5998.2 tok/s

Min memory

3.5 GB

Max context

131,072 tokens

Avg output / run

60,072 tokens

Avg runtime / run

8m 48s

Avg quality

59.0

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 3 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	55.7	59.0	62.6
Agent Workflow	73.3	75.7	78.6
Code Generation	24.1	31.0	37.3
Role Play & Narrative	31.6	50.4	62.6
Research & Analysis	77.8	78.9	80.0

Performance by hardware and tool

Every hardware/tool/quantization combination LiquidAI/LFM3-1.7B-GGUF has been benchmarked on, ranked by peak token generation speed. Last updated October 2026.

Hardware	Tool	Quant	Best tok/s	Avg tok/s	Memory	Context	Quality	Runs
NVIDIA GeForce RTX 4070	Unsloth Studio	Q4_0	254.6 tok/s	252.0 tok/s	3.5 GB	131,072 tokens	59.3	2
Intel(R) Arc(TM) 140V GPU (16GB)	Unsloth Studio	Q4_0	58.0 tok/s	58.0 tok/s	4.2 GB	131,072 tokens	58.4	1

Benchmark runs

All 3 LiquidAI/LFM3-1.7B-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/LFM3-1.7B-GGUF for local inference?: Across 3 community benchmark runs, LiquidAI/LFM3-1.7B-GGUF reaches up to 254.6 tok/s and averages 187.3 tok/s, with the fastest results on NVIDIA GeForce RTX 4070.
How much memory does LiquidAI/LFM3-1.7B-GGUF need?: The leanest observed configuration used about 3.5 GB of memory (quantizations tested: Q4_0).
Which tools have been used to run LiquidAI/LFM3-1.7B-GGUF?: Benchmarks were submitted using Unsloth Studio. Results are community-contributed and updated as new runs arrive.