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// Liquid LFM · Vision-language

LFM2.5-VL-450M: VRAM & local deployment

449M parameters. About 0.9 GB at 4-bit and 1.6 GB at BF16 with one 8K-token request.

released 2026-04-08licence: Custom licence – read itmemory figures are estimates

01Specs

PublisherLiquid AI · LiquidAI
Family / seriesLiquid LFM · LFM2.5-VL
TypeVision-language (image-text-to-text)
Parameters449M Source: counted from official safetensors weights
Context length125K tokens (128,000)max_position_embeddings in config.json
Architecture16 layers (6 full-attention) · GQA+HYBRID
Released weightsBF16 · 0.9 GBdownload
Licencelfm1.0 · Custom licence – read itThe publisher uses its own licence; we have not classified it. Read the licence text.
Released2026-04-08 (Hugging Face repo created)

02How much VRAM it needs (estimate)

Total = weights + 10% + 0.5GB overhead + KV cache for one request (FP16 KV). More concurrent users multiply the KV column.

PrecisionWeightsTotal @ 8KTotal @ 32KSmallest GPUMac
BF16 / FP16 (original)0.9 GB 1.6 GB1.9 GB 8GB GPUMac 16GB
FP8 / INT8 / Q8_00.5 GB 1.1 GB1.4 GB 8GB GPUMac 16GB
4-bit (Q4_K_M / AWQ / GPTQ-Int4)0.3 GB 0.9 GB1.2 GB 8GB GPUMac 16GB

KV cache per request: 8K 0.1 GB · 32K 0.4 GB

Bits per weight: BF16 16, FP8 8.5, 4-bit 4.85. “Fits” = total ≤ 90% of memory; Mac GPU can use ~2/3 of unified memory (≤36GB) or ~3/4 (larger). For MoE, all experts must be in memory, so size by total parameters. Method →

03How to run it

Only runtimes the publisher or the runtime’s official library names for this model.

Which inference engine to choose →

04Official repositories & quantised builds

8 official repo(s) from LiquidAI.

05Other Liquid LFM models

All 26 →
ModelParams4-bit totalReleased
LFM2.5-VL-1.6B · same series1.6B1.7 GB2026-01-05
LFM2.5-VL-3B · same series3.12B2.7 GB2026-08-11
LFM2.5-24B-A2B24B / 2B16.7 GB2026-10-12
LFM2.5-2.6B2.7B2.4 GB2026-07-28
LFM2.5-Encoder-350M-Diffusion354M0.8 GB2026-07-10
LFM2.5-230M230M0.8 GB2026-06-24
LFM2.5-8B-A1B8.47B / 1B6.2 GB2026-05-28
LFM2.5-1.2B-JP-2026061.17B1.4 GB2026-05-26
LFM2.5-ColBERT-350M353M0.7 GB2026-05-20
LFM2.5-Embedding-350M354M0.7 GB2026-05-05

06Sources

Data checked 2026-04-08. Parameters, context and licence are copied from the official repository; memory figures are our estimates.

Data updated: Self-host open models(UTC+8)