Liquid
LFM2.5 8B A1B
LFM2.5 8B A1B is an open-weights 8B-parameter model by Liquid. It holds an Intelligence score of 17.9 on the local.ai leaderboard (2026-08 snapshot).
MoEedgeopen weights
17.9
local.ai Intelligence
Parameters
8B
MoE · 1B active parameters
Benchmarks (local.ai snapshot)
HuggingFace metadata · updated 2026-08-04
Metadata refreshed from the HuggingFace API (snapshot 2026-08-15T15:53:42.405Z). Context length and long-form descriptions are the next pipeline stage.
Does it fit your hardware?
Detect or select your GPU first. Green = weights + context headroom, yellow = tight, grey = does not fit.
Q4_K_M 4.6GQ6_K 7.2GQ8_0 8.8GFP16 16G| Quantization | ≈ File size | Note |
|---|---|---|
| IQ2_XXS | 2.2 GB | Extreme compression, largest quality loss |
| IQ3_XXS | 2.9 GB | Very small |
| Q3_K_M | 3.7 GB | Small |
| NVFP4 | 4 GB | NVIDIA 4-bit |
| Q4_K_S | 4.3 GB | Common |
| Q4_K_M | 4.6 GB | Most common sweet spot |
| Q5_K_M | 6.1 GB | Balanced |
| Q6_K | 7.2 GB | Near-lossless |
| Q8_0 | 8.8 GB | Near-lossless |
| FP16 | 16 GB | Original weights |
Actual files on HuggingFace
| File | Size |
|---|---|
| model.safetensors | 15.77 GB |
GGUF: LiquidAI/LFM2.5-8B-A1B-GGUF · 148,387 downloads
GGUF: unsloth/LFM2.5-8B-A1B-GGUF · 23,588 downloads
| File | Size | |
|---|---|---|
| LFM2.5-8B-A1B-BF16.gguf | 15.78 GB | download |
| LFM2.5-8B-A1B-MXFP4_MOE.gguf | 4.98 GB | download |
| LFM2.5-8B-A1B-Q8_0.gguf | 8.39 GB | download |
| LFM2.5-8B-A1B-UD-IQ1_M.gguf | 2.40 GB | download |
| LFM2.5-8B-A1B-UD-IQ2_M.gguf | 2.57 GB | download |
| LFM2.5-8B-A1B-UD-IQ2_XXS.gguf | 2.52 GB | download |
| LFM2.5-8B-A1B-UD-IQ3_S.gguf | 3.33 GB | download |
| LFM2.5-8B-A1B-UD-IQ3_XXS.gguf | 3.05 GB | download |
| LFM2.5-8B-A1B-UD-IQ4_NL.gguf | 4.06 GB | download |
| LFM2.5-8B-A1B-UD-IQ4_XS.gguf | 3.97 GB | download |
| LFM2.5-8B-A1B-UD-Q2_K_XL.gguf | 2.72 GB | download |
| LFM2.5-8B-A1B-UD-Q3_K_M.gguf | 3.67 GB | download |
What you save self-hosting this model
Uses the model's own API price when it exists; otherwise the closest commercial equivalent.
Waiting for hardware detection…
RunLocal presents third-party leaderboard data (local.ai / Exo Labs, 2026-08) with its own fit and cost estimates. Verify pricing, licenses and file sizes at the source before deploying a model.