CMP 170HX 64GB (modded): 64GB VRAM — What Local LLMs Can It Run?
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The CMP 170HX 64GB (modded) has 64GB of HBM2e memory with 1,493 GB/s of bandwidth. No used-price data yet. At Q4 quantization it runs models up to 70B parameters at roughly 25 tokens/s.
Full CMP 170HX 64GB (modded) specifications
What LLMs can the CMP 170HX 64GB (modded) run?
One reference model per family (its main version)| Model | Q4_K_M | Q8_0 | FP16 | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Fits | Speed t/s | Context | Fits | Speed t/s | Context | Fits | Speed t/s | Context | |
| DeepSeekDeepSeek R1 Qwen3 8B | ✓ | 172.3 | 128K | ✓ | 103.7 | 128K | ✓ | 58.8 | 128K |
| GemmaGemma 4 31B | ✓ | 46.6 | 32K | ✓ | 27.7 | 32K | ✗ | — | — |
| GLMGLM 4.7 Flash | ✓ | 171.4 | 128K | ✓ | 138.1 | 128K | ✓ | 100.6 | 32K |
| gpt-ossgpt-oss 20B | ✓ | 162.8 | 128K | ✓ | 127.7 | 128K | ✓ | 90.3 | 128K |
| KimiKimi Linear 48B A3B | ✓ | 176.5 | 128K | ✓ | 141.4 | 128K | Offload | 14.8 | — |
| LlamaLlama 3.1 8B | ✓ | 176.7 | 128K | ✓ | 106.1 | 128K | ✓ | 60.1 | 128K |
| MistralMistral 7B v0.3 | ✓ | 191.1 | 32K | ✓ | 115.9 | 32K | ✓ | 66 | 32K |
| QwenQwen3 8B | ✓ | 172.3 | 32K | ✓ | 103.7 | 32K | ✓ | 58.8 | 32K |
Fits when weights + KV cache + runtime overhead is at or below usable memory, single card. "Offload" on MoE models means it runs with expert weights in system RAM (only attention layers and KV cache stay in VRAM); that speed assumes 70 GB/s RAM bandwidth. The context column is the largest tier that fits.
CMP 170HX 64GB (modded) used price history
Not enough history to draw a chart yet — price tracking just started.
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FAQ
How much VRAM does the CMP 170HX 64GB (modded) have?
The CMP 170HX 64GB (modded) has 64GB of HBM2e memory with 1,493 GB/s of bandwidth.
Can the CMP 170HX 64GB (modded) run a 70B model?
Yes. At Q4_K_M with an 8K context a 70B dense model needs about 43GB, which fits in the CMP 170HX 64GB (modded)'s 64GB.
How much does a used CMP 170HX 64GB (modded) cost?
No used-price data yet; it will appear here once the feed is live.