No — not on this device
DeepSeek V4 Flash 284B-A13B at Q4_K_M needs 160.7 GB against 18.0 GB usable, and the shortfall of 142.7 GB is more than 256 GB of system RAM can cover at a tolerable speed. A smaller sibling or a lower quantisation is the honest answer here.
The V4 that 128 GB machines can actually run at Q3. Cache is modelled as a 576-wide latent; V4 compresses it further at long context, so this is conservative.
The VRAM budget
Quantisation ladder
| Quant | Weights | Total @ 8K | Max context | Tok/s | Quality | Fit |
|---|---|---|---|---|---|---|
| Q8_0 | 281.0 GB | 282.0 GB | — | ~2.0 | −0.1% ppl | 264.0 GB over |
| Q6_K | 216.9 GB | 217.9 GB | — | ~2.6 | −0.4% ppl | 199.9 GB over |
| Q5_K_M | 187.5 GB | 188.4 GB | — | ~3.0 | −0.8% ppl | 170.4 GB over |
| Q4_K_M | 159.7 GB | 160.7 GB | — | ~3.6 | −1.9% ppl | 142.7 GB over |
| Q3_K_M | 129.3 GB | 130.3 GB | — | ~4.4 | −5.4% ppl | 112.3 GB over |
| Q2_K | 110.8 GB | 111.7 GB | — | ~5.1 | −15% ppl | 93.7 GB over |
Quality is the published perplexity delta against f16 weights. Max context assumes an f16 KV cache; q8_0 roughly doubles it. This model uses multi-head latent attention, so its cache is a compressed latent rather than full K and V.
How to run it
$ pip install mlx-lm $ mlx_lm.generate --model mlx-community/DeepSeek-V4-Flash-0731-4bit \ --max-tokens 512 --prompt "Hello"
Apple's own array framework. The fastest path on Apple Silicon. More on MLX.