Motif-3
Motif-3 is an open-weights language model from Motif Technologies, released August 7, 2026. It has 315B parameters (dense). The context window is 256K tokens.
We introduce Motif 3, a decoder-only Mixture-of-Experts language model with 314 billion total parameters and 13.2 billion parameters activated for each token. Each sparse MoE layer contains 384 routed experts, while only eight are selected for each token.
Check it against your own PC →
Can you run Motif-3 locally?
Even with 32 GB of VRAM and 32 GB of RAM it is too large to run at a usable speed on a single consumer GPU. Estimates assume 32 GB of DDR5 RAM, a 16K context and llama.cpp-style GGUF quantization. Enter your exact hardware in the live app.
| GPU memory | Verdict | Best quant | VRAM | RAM | tok/s |
|---|---|---|---|---|---|
| 6 GB VRAM | Too large | – | – | – | – |
| 8 GB VRAM | Too large | – | – | – | – |
| 12 GB VRAM | Too large | – | – | – | – |
| 16 GB VRAM | Too large | – | – | – | – |
| 24 GB VRAM | Too large | – | – | – | – |
| 32 GB VRAM | Too large | – | – | – | – |
Ready-made quantizations on Hugging Face: avar6/Motif-3-Base-gguf
Benchmark results
Epoch AI has not published results for Motif-3 yet. New models are usually evaluated within days to weeks.
Links
Announcement · Hugging Face: Motif-Technologies/Motif-3-Base