LiquidAI / text-generation Open weights updated 1 month ago

LFM2.5-2.6B-GGUF

LFM2.5 is a new family of hybrid models designed for on-device deployment. It builds on the LFM2 architecture with extended pre-training and reinforcement learning.

Params
2.6 B
Context
131,072
Downloads 30d
187 K
Likes
397
Licence: other Not gated GGUF · SAFETENSORS 16 languages View on Hugging Face ↗

Download history

daily snapshots · 89 days
▲ 797 K in the last 30 days (81.0%)
1.2 M187 K
Aug 14Sep 12Oct 12Nov 10

Can you run it?

Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.

FileQuantSizeEst. VRAMVerdict on RTX 4090 · 24 GB
LFM2.5-2.6B-QAD-Q4_0.gguf Q4_0 1.6 GB 2.6 GB ✅ Runs comfortably
LFM2.5-2.6B-Q4_K_M.gguf Q4_K_M 1.7 GB 2.7 GB ✅ Runs comfortably
LFM2.5-2.6B-Q5_K_M.gguf Q5_K_M 1.9 GB 3.0 GB ✅ Runs comfortably
LFM2.5-2.6B-Q6_K.gguf Q6_K 2.2 GB 3.3 GB ✅ Runs comfortably
LFM2.5-2.6B-Q8_0.gguf Q8_0 2.9 GB 4.1 GB ✅ Runs comfortably
LFM2.5-2.6B-BF16.gguf GGUF 5.4 GB 6.8 GB ✅ Runs comfortably
model.safetensors fp16 10.8 GB 12.8 GB ✅ Runs comfortably
model.safetensors (bf16, full) bf16 + 128K ctx 10.8 GB 18.6 GB ✅ Runs comfortably
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.

Run it

copy-paste, exact tags checked against the Hub
~ · ollama · Q4_0
$ ollama run lfm2-5-2-6b-gguf

# pin the quantization explicitly
$ ollama run lfm2-5-2-6b-gguf-q4_0
est. VRAM 2.6 GBon RTX 4090 · 24 GBJSON API →

Specifications

Parameters
2.6 B
Context length
131,072
Licence
other
First seen on the Hub
2026-08-01
Base model
LFM2.5-2.6B
Training datasets
undisclosed
Added to our catalog
2026-08-14

Family

Base model and the most-downloaded derivatives in the catalog.

Compare with any text-generation model