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LFM2-24B-A2B

Llama family · 24.0B params

1recorded run
393.2best tok/s
0verified

Evidence: 0 sourced runs · 1 awaiting review · 1 independent source · first recorded Aug 17, 2026. What these labels mean.

What the LFM2-24B-A2B numbers mean

The fastest result on our board is 393.2 output tok/s on an RTX 5090 at Q4_K_M with a 2048-token context. That is about 2.5 ms per generated token — 500 tokens takes roughly 1.3 seconds. Prompt processing on the same record runs at 1718.2 tok/s, so a 2,000-token prompt is read in about 1.2 seconds.

How much VRAM does LFM2-24B-A2B need?

LFM2-24B-A2B has 24.0B parameters. These estimates use the same formula as the VRAM calculator: weights, plus about 15% for a moderate-context KV cache and runtime overhead, plus a small engine floor.

QuantisationEstimated VRAMSmallest card that fits
Q4_K_M (4-bit)16.3 GB24 GB
Q8_0 (8-bit)30.1 GB48 GB
FP16 (16-bit)56.0 GB80 GB

Long contexts and large batches raise the real number — read the smallest card as "possible with a reduced context". Measured throughput is on the benchmark board.

Fastest GPUs for this model (best tok/s)
  1. RTX 5090393.2

Models with a similar footprint

ModelParamsQ4_K_M weights
DeepHermes-3-Mistral-24B-Preview24B13.5 GB
mistralai_Mistral-Small-3.2-24B-Instruct-250624B13.5 GB
Trinity-Mini26B14.6 GB
gemma-4-26B-A4B-it27B15.2 GB
gemma-4-26B-A4B-it-qat27B15.2 GB
gemma-4-26B-A4B-it-ultra-uncensored-heretic27B15.2 GB

Ranked by distance from LFM2-24B-A2B's parameter count. Full benchmark board.

All benchmarks Methodology

GPUModelQuantBackendCtx tok/sprompt tok/sVRAM GBSource
RTX 5090 · 32 GBLFM2-24B-A2BQ4_K_Mlmstudio —2048393.2 …1718.2—src
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