RTX 5090
Prós
- Runs Yi 1.5 34B at Q4 natively
- 32 GB VRAM — adequate headroom
10 consumer GPUs can run Yi 1.5 34B at Q4 natively. Precise VRAM thresholds and benchmarks below.
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llama.cpp 0.2.x · CUDA 12 · ROCm 6 · updated monthly · methodology →
This model requires aHigh-end GPU (24 GB VRAM)
Best picks by compatibility, VRAM headroom, and value — prices and availability may change.
Prós
Prós
Prós
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Check if your GPU can run Yi 1.5 34B →
VRAM Calculator — instant compatibility check
RTX 5090
32 GB · Runs Q4 natively · Check availability
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| Quantization | VRAM needed | Disk space | Quality |
|---|---|---|---|
| FP16 (max quality) | 68 GB | 68 GB | Maximum |
| Q8 (high quality) | 34 GB | 34 GB | Near-lossless |
| Q4 (recommended) Best balance | 20 GB | 20 GB | Recommended |
| Q2 (minimum) | 10 GB | 10 GB | Quality loss |
| Developer | 01.AI |
| Parameters | 34B |
| Context window | 4,096 tokens |
| License | Apache-2.0 |
| Use cases | chat, coding, reasoning, analysis |
| Released | 2024-05 |
Install with Ollama
ollama run yi:34b Hugging Face
01-ai/Yi-1.5-34B-Chat Yi 1.5 34B requires <strong class="text-primary-container">20 GB VRAM</strong> at Q4. 10 consumer GPUs meet this threshold. Below 8 GB or 18 GB you'll hit significant offload latency.
10 Q4 native · 19 offload
Best picks by compatibility, VRAM headroom, and value — prices and availability may change.
RTX 5090
32 GB VRAM
Check availability →
RTX 4090
24 GB VRAM
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M4 Ultra
128 GB VRAM
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Yi 1.5 34B requires a high-end GPU like the RTX 4090 or a Mac with M2 Ultra or better. The Q4 version needs 20 GB VRAM. Check the VRAM calculator for your options.
Which GPU is worth it? Real specs and benchmarks side by side.
GPUs that run Yi 1.5 34B at Q4 — sorted by AI performance score.
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The VRAM Calculator tells you exactly which quantization your hardware can handle.
RTX 5090
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