Unverified50% confidenceBenchmarkExact time
On the tool-calling benchmark, Omni 2B scores 52, Audio 2B scores 58 and Gemma 4 E4B scores 72; tool calling is a clear weakness of LFM3.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
11/4/2026
First Seen
Valid until: 2/2/2027
Sources
Running Audio and Vision Locally with a 2B Model: LFM3 Hands-On Revealed
bilibili枫叶边城11/4/2026
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Related Claims
UnverifiedThe int4 build from Google's QAT checkpoint on Gemma 4 E2B is less than 0.5 points lower in accuracy than bf16 (0.678 vs 0.683), while the int8 build rounded directly from bf16 dropped 1.3 points.69% similarUnverifiedOn the BFCL tool-calling test, SmolLM3-3B scores 0.945, slightly above Gemma 4 E2B's 0.927, but the difference is not significant; Qwen3-4B (0.940), Qwen3-1.7B (0.935), Qwen2.5-1.5B (0.910), and Granite 3.3 2B (0.920) are all at the same level as Gemma.67% similarUnverifiedAccording to data published by Liquid, Audio 2B has an English word error rate of 6.2 and a VoiceBench score of 73; Gemma 4 E4B, with about four times the parameters, scores almost the same.66% similarUnverifiedGPT-4o and Qwen 2.5 Coder 32B tied for second place in DataBugBench, both scoring 4/5 with an accuracy of 80%.65% similar
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