Hardware
Laptop CPU · LPDDR5X
Laptop CPU · LPDDR5X has 16 / 32 / 64 GB System RAM and 120 GB/s. See which open models fit, at which quant, and roughly how fast. Figures below use the default memory (32 GB). Updated 2026-10-17.
Memory16 / 32 / 64 GB System RAM
Bandwidth120 GB/s
Kindcpu
Year2024
Rough class for a 128-bit LPDDR5X laptop (about 120 GB/s). Real bandwidth depends on the bus width. Source.
RSS for new models on this device
Models that fit
| Model | Verdict | Quant | Context | tok/s |
|---|---|---|---|---|
| Kwaipilot KAT Coder V2.5 Dev 34.7B | Runs on CPU | Q5_K_M | 8K | 14–19 |
| Qwen3.8 35B A3B Distill 35.5B | Runs on CPU | Q5_K_M | 8K | 29–39 |
| Qwen3.6 35B A3B 34.7B | Runs on CPU | UD-Q5_K_S | 8K | 28–39 |
| Qwen3.5 35B A3B 34.7B | Runs on CPU | Q5_K_S | 8K | 28–39 |
| Nemotron 3 Nano 30B A3B 31.6B | Runs on CPU | Q5_K_S | 8K | 24–33 |
| NVIDIA Nemotron 3 Nano Omni 30B A3B Reasoning 31.6B | Runs on CPU | UD-Q5_K_S | 8K | 24–32 |
| GLM 4.7 Flash 29.9B | Runs on CPU | Q6_K | 8K | 12–16 |
| Qwen3 Coder 30B A3B Instruct 30.5B | Runs on CPU | Q6_K | 8K | 20–28 |
| Qwen3 30B A3B Instruct 2507 30.5B | Runs on CPU | Q6_K | 8K | 20–28 |
| Qwen3 VL 30B A3B Instruct 30.5B | Runs on CPU | Q6_K | 8K | 20–28 |
| Qwen3 30B A3B Thinking 2507 30.5B | Runs on CPU | Q6_K | 8K | 20–28 |
| NVIDIA Nemotron 3.5 Lightning 30B A3B 32.9B | Runs on CPU | UD-Q4_K_XL | 4K | 26–35 |
| gemma 4 26B A4B it 25.2B | Runs on CPU | UD-Q6_K_XL | 8K | 12–16 |
| Qwen3 Coder Next 79.7B | Runs on CPU | UD-IQ2_XXS | 8K | 14–19 |
| LFM2.5 24B A2B 24.0B | Runs on CPU | Q8_0 | 4K | 27–37 |
| Qwen3 Next 80B A3B Instruct 79.7B | Runs on CPU | UD-IQ1_M | 8K | 38–52 |
| Qwen3 Next 80B A3B Thinking 79.7B | Runs on CPU | UD-IQ1_M | 8K | 38–52 |
| GLM 4.7 Flash REAP 23B A3B 23.0B | Runs on CPU | Q8_0 | 8K | 18–25 |
| gpt oss 20b 20.9B | Runs on CPU | UD-Q8_K_XL | 8K | 16–22 |
| gemma 4 E4B it qat 7.5B | Runs on CPU | UD-Q4_K_XL | 8K | 13–18 |
| LFM2.5 8B A1B 8.5B | Runs on CPU | BF16 | 8K | 27–37 |
| Ministral 3 3B Instruct 2512 3.4B | Runs on CPU | Q8_0 | 8K | 15–20 |
| granite 4.0 h micro 3.2B | Runs on CPU | BF16 | 8K | 10–14 |
| Qwen2.5 3B Instruct 3.1B | Runs on CPU | F16 | 8K | 10–14 |
| Qwen2.5 VL 3B Instruct 3.1B | Runs on CPU | BF16 | 8K | 10–14 |
| SmolLM3 3B 3.1B | Runs on CPU | BF16 | 8K | 9.8–13 |
| LFM2.5 2.6B 2.7B | Runs on CPU | BF16 | 8K | 11–15 |
| LFM2.5 VL 3B 2.7B | Runs on CPU | BF16 | 8K | 11–15 |
| Qwen3.5 2B 1.9B | Runs on CPU | BF16 | 8K | 17–23 |
| DeepSeek R1 Distill Qwen 1.5B 1.8B | Runs on CPU | BF16 | 8K | 17–24 |
| Qwen3 1.7B 1.7B | Runs on CPU | BF16 | 8K | 15–21 |
| Qwen3 VL 2B Instruct 1.7B | Runs on CPU | BF16 | 8K | 15–21 |
| Qwen3 VL 2B Thinking 1.7B | Runs on CPU | BF16 | 8K | 15–21 |
| Qwen2.5 1.5B Instruct 1.5B | Runs on CPU | F16 | 8K | 20–27 |
| Qwen2.5 Coder 1.5B Instruct 1.5B | Runs on CPU | F16 | 8K | 20–27 |
| Llama 3.2 1B Instruct 1.2B | Runs on CPU | BF16 | 8K | 24–33 |
| LFM2.5 1.2B Instruct 1.2B | Runs on CPU | BF16 | 8K | 25–34 |
| gemma 3 1b it 1.0B | Runs on CPU | BF16 | 8K | 30–40 |
| Qwen3.5 0.8B 0.75B | Runs on CPU | BF16 | 8K | 41–56 |
| Qwen3 0.6B 0.60B | Runs on CPU | BF16 | 8K | 31–42 |
90 more models in the catalog do not fit this default profile, or ranked below the first 40 that do.
Example: Runs on CPU on your Laptop CPU · LPDDR5X at Q5_K_M, 8K context, about 14–19 tok/s. Weights 23.3 GB plus 0.19 GB of KV cache — 24.0 GB of 25.2 GB usable. Up to 32K context still fits. Weights shown in the verdict use GiB (the same 1024³ counting as GPU memory).