Liquid AI · Chat and reasoning · 24B parameters · 2.45B active · LFM Open License v1.0
LFM2.5-24B-A2B
Needs 29 GB at FP8 / INT8. The smallest real configuration today is 1× Tesla V100 32GB at Vast.ai, $0.07 per hour, about $50 a month at 730 hours.
Parameters24B2.45B active per token
Context128k tokensmaximum published
Checkpoint48 GBBF16, as published
LicenseLFM Open License v1.0check before commercial use
ReleasedOct 13, 2026documented date
Smallest configuration · FP8 / INT8
1× Tesla V100 32GB32 GB VRAM · 90% used
- Per hour
- $0.07
- Per month
- $50
- Cheapest at
Vast.ai
What is documented about LFM2.5-24B-A2B
news checked 2026-10-27Card: 'Total parameters 24.0B, Active parameters 2.45B', 40 layers (30 double-gated short-convolution blocks + 10 GQA), 64 experts with top-4 routing, 131,072 context. head_dim = 2048/32. Card calls it 'the largest and final model in the LFM2.5 family'. Liquid blog and MarkTechPost date it 13-14 Oct; HF first commit 2026-10-13. A base model is also published.
- https://huggingface.co/LiquidAI/LFM2.5-24B-A2B
- https://huggingface.co/LiquidAI/LFM2.5-24B-A2B/raw/main/config.json
- https://huggingface.co/api/models/LiquidAI/LFM2.5-24B-A2B?blobs=true
Memory · 3 precisions · 4 context lengthsHow much VRAM it needs
Weights plus runtime overhead, then the KV cache that grows with the context you serve.
| Precision | Weights | Weights + headroom | 4k context | 32k context | 128k context |
|---|---|---|---|---|---|
| BF16published checkpoint | 48 GB | 58 GB | 58 GB | 61 GB | 69 GB |
| FP8 / INT8estimated | 24 GB | 29 GB | 30 GB | 32 GB | 40 GB |
| INT4 / MXFP4estimated | 14 GB | 18 GB | 18 GB | 20 GB | 29 GB |
| KV cacheone sequence, FP16 cache, included above | — | — | 1 GB | 3 GB | 11 GB |
Cross-checked on Hugging Face Oct 28, 2026: 24.0B parameters in the safetensors headers, 47.9 GB of weight files, attention layout from config.json (40 layers, 8 KV heads × 64). Method: weights as published at the native precision, verified on Hugging Face 2026-10-28; other precisions estimated at 1 (8-bit) and 0.6 (4-bit) bytes per parameter; × 1.2 runtime headroom; KV cache = 2048 bytes per token per layer × 40 full-attention layers (FP16 cache, one sequence).config.json ↗
Smallest configuration per GPU · 110 GPUs · cheapest eligible on-demand offer per GPU count, every provider on fileWhat it costs to run, GPU by GPU
The fewest GPUs of one type whose total memory fits the model at short context, priced from the cheapest eligible on-demand offer for exactly that count (45-day window, newest reading per provider), with the next providers beside it. Monthly = 730 hours.
| GPU | Smallest config | VRAM used | $ / hour | $ / month | Cheapest at |
|---|---|---|---|---|---|
| Tesla V100 32GBBest fit | 1× 32 GB32 GB total | 90% | $0.07 | $50 | Vast.aiTrust 78 · read Nov 2 · receipt · also Cyfuture AI $0.57, E2E Networks $1.50 |
| T4 | 2× 16 GB32 GB total | 90% | $0.08 | $59 | Vast.aiTrust 78 · read Nov 2 · receipt · also iwinv $0.39, Theta EdgeCloud $0.40 |
| Tesla P100 | 2× 16 GB32 GB total | 90% | $0.10 | $70 | Vast.aiTrust 78 · read Nov 2 · receipt |
| RTX A4000 | 2× 16 GB32 GB total | 90% | $0.14 | $105 | Vast.aiTrust 78 · read Nov 2 · receipt · also Clore.ai $0.19, AtmosCompute $0.30 |
| RTX PRO 2000 | 2× 16 GB32 GB total | 90% | $0.15 | $106 |  Clore.aiTrust 46 · read Nov 2 · receipt |
| RTX 3060 | 4× 12 GB48 GB total | 60% | $0.16 | $118 | Clore.aiTrust 46 · read Nov 2 · receipt · also Vast.ai $0.21, Edgevana $0.31 |
| RTX 5060 Ti | 2× 16 GB32 GB total | 90% | $0.19 | $137 | Vast.aiTrust 78 · read Nov 2 · receipt · also Clore.ai $0.19, Edgevana $0.31 |
| Tesla V100 16GB | 2× 16 GB32 GB total | 90% | $0.19 | $138 | Vast.aiTrust 78 · read Nov 2 · receipt · also CloudRift $0.50, AtmosCompute $0.65 |
| Quadro RTX 5000 | 2× 16 GB32 GB total | 90% | $0.20 | $148 | Vast.aiTrust 78 · read Nov 2 · receipt · also OVHcloud $1.21 |
| GTX 1080 | 4× 8 GB32 GB total | 90% | $0.20 | $150 | Vast.aiTrust 78 · read Nov 2 · receipt |
| RTX 3090 | 2× 24 GB48 GB total | 60% | $0.21 | $157 | Vast.aiTrust 78 · read Nov 2 · receipt · also Clore.ai $0.24, Lium $0.44 |
| RTX 2070 | 4× 8 GB32 GB total | 90% | $0.22 | $157 | Vast.aiTrust 78 · read Nov 2 · receipt · also Edgevana $0.25 |
| RTX 5090 | 1× 32 GB32 GB total | 90% | $0.22 | $158 | Clore.aiTrust 46 · read Nov 2 · receipt · also Salad $0.24, HyperAI $0.35 |
| RTX 3060 Ti | 4× 8 GB32 GB total | 90% | $0.22 | $159 | Vast.aiTrust 78 · read Nov 2 · receipt · also Clore.ai $0.29 |
| Quadro RTX 8000 | 1× 48 GB48 GB total | 60% | $0.23 | $167 | Vast.aiTrust 78 · read Nov 2 · receipt · also TensorDock $0.32 |
| GTX 1070 Ti | 4× 8 GB32 GB total | 90% | $0.23 | $169 | Vast.aiTrust 78 · read Nov 2 · receipt |
| RTX 2070 Super | 4× 8 GB32 GB total | 90% | $0.24 | $177 | Vast.aiTrust 78 · read Nov 2 · receipt · also Edgevana $0.28 |
| Titan RTX | 2× 24 GB48 GB total | 60% | $0.27 | $196 | Vast.aiTrust 78 · read Nov 2 · receipt · also Edgevana $0.52 |
| Titan Xp | 4× 12 GB48 GB total | 60% | $0.27 | $196 | Vast.aiTrust 78 · read Nov 2 · receipt |
| L40 | 1× 48 GB48 GB total | 60% | $0.27 | $196 | Vast.aiTrust 78 · read Nov 2 · receipt · also io.net $0.66, Runpod $0.69 |
| RTX 2080 Ti | 4× 11 GB44 GB total | 65% | $0.28 | $202 | Vast.aiTrust 78 · read Nov 2 · receipt |
| RTX 4070 Ti Super | 2× 16 GB32 GB total | 90% | $0.29 | $213 | Clore.aiTrust 46 · read Nov 2 · receipt · also AtmosCompute $0.58, Edgevana $0.77 |
| RTX 5070 Ti | 2× 16 GB32 GB total | 90% | $0.32 | $235 | Vast.aiTrust 78 · read Nov 2 · receipt · also Clore.ai $0.36, Edgevana $0.46 |
| RTX A6000 | 1× 48 GB48 GB total | 60% | $0.33 | $241 |  GPURentonot scored · read Nov 2 · receipt · also gcube $0.34, Thunder Compute $0.35 |
| The 24 cheapest of 82 GPU types that fit. Every GPU, any precision and context, in the finder | |||||
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