LFM2.5-1.2B-Instruct
1recorded run
709.5best tok/s
1verified
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.
| Quantisation | Estimated VRAM | Smallest card that fits |
|---|---|---|
| Q4_K_M (4-bit) | 1.4 GB | 8 GB |
| Q8_0 (8-bit) | 2.0 GB | 8 GB |
| FP16 (16-bit) | 3.1 GB | 8 GB |
Fastest GPUs for this model (best tok/s)
- RTX 3090709.5
Models with a similar footprint
| Model | Params | Q4_K_M weights |
|---|---|---|
| gemma-3-1b-it | 1B | 0.6 GB |
| Llama-3.2-1B-Instruct | 1B | 0.6 GB |
| MiniCPM5-1B | 1B | 0.6 GB |
| Qwen3-0.6B | 1B | 0.6 GB |
| Qwen3.5-0.8B | 800M | 0.5 GB |
| Qwen3.5-0.8B-MTP | 800M | 0.5 GB |