Smaller alternatives
Models that need less memory than MiniMax M3 and score about as well or better.
MiniMax · 427B (23B active) · Mixture of experts
MiniMax M3 is a 427B model from MiniMax with a 1M-token context. At Q4_K_M with an 8K context it needs about 244.6 GB; 307 GB leaves room for longer chats.
Mixture of experts
Parameters: 427B · Active: 23B
All 427B parameters load into memory, but only 23B work on each token, so it runs at the speed of a much smaller model.
| Quant | Bits | Memory | Quality | On your hardware |
|---|---|---|---|---|
| Q2_K | 3.16 | — | Noticeably worse | … |
| Q3_K_M | 4 | — | Some loss | … |
| Q4_K_M | 4.89 | — | Good | … |
| Q5_K_M | 5.7 | — | Good | … |
| Q6_K | 6.56 | — | Near original | … |
| Q8_0 | 8.5 | — | Near original | … |
| F16 | 16 | — | Original | … |
At Q4_K_M. The context cache grows with every token the model keeps in mind.
| Context | Context cache | Total |
|---|---|---|
| 4K | 0.5 GB | 244.1 GB |
| 8K | 0.9 GB | 244.6 GB |
| 32K | 3.8 GB | 247.4 GB |
| 128K | 15 GB | 258.6 GB |
| 256K | 30 GB | 273.6 GB |
Models that need less memory than MiniMax M3 and score about as well or better.
Scored models of a similar size, side by side on your device.
Desktop devices with the least memory that give MiniMax M3 grade A or S at Q4_K_M.
Yes, if your GPU or Mac has about 244.6 GB free for it at Q4_K_M. Open this page on that computer to see the grade for your exact hardware, then start it with llama.cpp, Ollama or LM Studio.
About 244.6 GB at Q4_K_M with an 8K context and 422.9 GB at Q8_0. Lower quantizations fit smaller cards with some loss in quality; longer contexts add to the total.
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