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LFM2.5-1.2B-Instruct

Llama family · 1.0B params

1recorded run
709.5best tok/s
1verified

Evidence: 1 sourced run · 1 independent source · first recorded Sep 5, 2026. What these labels mean.

What the LFM2.5-1.2B-Instruct numbers mean

The fastest verified result on our board is 709.5 output tok/s on an RTX 3090 at Q4_K_M with a 24576-token context. That is about 1.4 ms per generated token — 500 tokens takes roughly 0.7 seconds. Prompt processing on the same record runs at 11527.5 tok/s, so a 2,000-token prompt is read in about 0.2 seconds. Peak VRAM was measured at 2.4 GB.

How much VRAM does LFM2.5-1.2B-Instruct need?

LFM2.5-1.2B-Instruct has 1.0B 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)1.4 GB8 GB
Q8_0 (8-bit)2.0 GB8 GB
FP16 (16-bit)3.1 GB8 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 3090709.5

Models with a similar footprint

ModelParamsQ4_K_M weights
gemma-3-1b-it1B0.6 GB
Llama-3.2-1B-Instruct1B0.6 GB
MiniCPM5-1B1B0.6 GB
Qwen3-0.6B1B0.6 GB
Qwen3.5-0.8B800M0.5 GB
Qwen3.5-0.8B-MTP800M0.5 GB

Ranked by distance from LFM2.5-1.2B-Instruct's parameter count. Full benchmark board.

All benchmarks Methodology

GPUModelQuantBackendCtx tok/sprompt tok/sVRAM GBSource
RTX 3090 · 24 GBLFM2.5-1.2B-InstructQ4_K_Mllama.cpp 0.3.0-dev (build 1, commit d7bd3bf)24576709.5 ✓11527.52.4src
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