DavidAU / text-generation Open weights updated 1 day ago

LFM2.5-24B-A2B-Turbo-Brilliance-50X-NEO-MAX-Imatrix-GGUF

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Params
24.0 B
Context
131,072
Downloads 30d
881 K
Likes
59
Licence: other Not gated GGUF 16 languages View on Hugging Face ↗

Download history

daily snapshots · 14 days
881 K171 K
Oct 28Nov 1Nov 6Nov 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
LFM2.5-24B-A2B-TBrill-NEO-IQ3_M.gguf IQ3_M 10.5 GB 15.7 GB ✅ Runs comfortably
LFM2.5-24B-A2B-TBrill-NEO-IQ4_XS.gguf IQ4_XS 12.8 GB 18.2 GB ✅ Runs comfortably
LFM2.5-24B-A2B-TBrill-MAX-NEO-Q6_K.gguf Q6_K 20.0 GB 26.1 GB ❌ Won’t fit
LFM2.5-24B-A2B-TBrill-MAX-NEO-Q8_0.gguf Q8_0 25.7 GB 32.4 GB ❌ Won’t fit
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 · Q6_K
$ ollama run lfm2-5-24b-a2b-turbo-brilliance-50x-neo-max-imatrix-gguf

# pin the quantization explicitly
$ ollama run lfm2-5-24b-a2b-turbo-brilliance-50x-neo-max-imatrix-gguf-q6_k
est. VRAM 26.1 GBon RTX 4090 · 24 GBJSON API →

Specifications

Parameters
24.0 B
Context length
131,072
Licence
other
First seen on the Hub
2026-10-13
Base model
LFM2.5-24B-A2B
Training datasets
undisclosed
Added to our catalog
2026-10-28

Family

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

Compare with any text-generation model