Smaller alternatives
Models that need less memory than Qwen3.5 397B A17B and score about as well or better.
Qwen · 403.4B (17B active) · Mixture of experts
Qwen3.5 397B A17B is a 403.4B model from Qwen with a 256K-token context. At Q4_K_M with an 8K context it needs about 227.9 GB; 286 GB leaves room for longer chats.
Mixture of experts
Parameters: 403.4B · Active: 17B
All 403.4B parameters load into memory, but only 17B 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 | 0.1 GB | 227.7 GB |
| 8K | 0.2 GB | 227.9 GB |
| 32K | 0.9 GB | 228.6 GB |
| 128K | 3.8 GB | 231.4 GB |
| 256K | 7.5 GB | 235.1 GB |
Models that need less memory than Qwen3.5 397B A17B 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 Qwen3.5 397B A17B grade A or S at Q4_K_M.
Yes, if your GPU or Mac has about 227.9 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 227.9 GB at Q4_K_M with an 8K context and 393.1 GB at Q8_0. Lower quantizations fit smaller cards with some loss in quality; longer contexts add to the total.
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