Yi 1.5 34B needs ~29.6 GB VRAM. NVIDIA A100 40GB has 40.0 GB. With Q4_K_M quantization, expect ~63 tok/s.
Operating mode
Interactive favors responsiveness, while light API and scale-out lean harder on serving readiness. The fit stays the same, but the recommendation lens changes.
Current mode
Balanced
Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.
Select quantization to explore
Fit status
Runs well
Decode
68.4 tok/s
TTFT
2831 ms
Safe context
4K
Memory
29.6 GB / 40.0 GB
This setup is broadly balanced for this model.
No major red flags
This recommendation has enough memory headroom and acceptable estimated speed for the selected workload.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | B | Runs well | 68.4 tok/s | 1544 ms | 4K |
| Coding | B | Runs well | 63.0 tok/s | 3074 ms | 4K |
| Agentic Coding | B | Tight fit | 68.4 tok/s | 4118 ms | 4K |
| Reasoning | B | Runs well | 68.4 tok/s | 3346 ms | 4K |
| RAG | B | Tight fit | 68.4 tok/s | 5148 ms | 4K |
How Yi 1.5 34B (34B params) fits at each quantization level on NVIDIA A100 40GB (40.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 13.3 GB | Low | B58 |
Q3_K_S | 3 | 16.7 GB | Low | B60 |
NVFP4 | 4 |
Copy-paste commands to run Yi 1.5 34B on your machine.
Run
lms load Yi-1.5-34B-Chat && lms server startYes, NVIDIA A100 40GB can run Yi 1.5 34B with a B grade (Runs well). Expected decode speed: 63.0 tok/s.
Yi 1.5 34B (34B parameters) requires approximately 29.6 GB of memory with Q4_K_M quantization.
The recommended quantization for Yi 1.5 34B is Q4_K_M, which balances quality and memory efficiency.
On NVIDIA A100 40GB, Yi 1.5 34B achieves approximately 63.0 tokens per second decode speed with a time-to-first-token of 3074ms using Q4_K_M quantization.
For coding workloads, Yi 1.5 34B on NVIDIA A100 40GB receives a B grade with 63.0 tok/s and 4K context.
On NVIDIA A100 40GB, Yi 1.5 34B can safely use up to 4K tokens of context. The model's official context limit is 4K, but available memory constrains the safe maximum.
Paste this snippet into any page to show a live fit card.
<iframe src="https://willitrunai.com/embed/yi-1.5-34b-on-a100-40gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
19.0 GB |
| Medium |
| B61 |
Q4_K_M | 4 | 20.7 GB | Medium | B61 |
Q5_K_M | 5 | 24.5 GB | High | B61 |
Q6_KBest for your GPU | 6 | 27.9 GB | High | B61 |
Q8_0 | 8 | 36.4 GB | Very High | F0 |
F16 | 16 | 69.7 GB | Maximum | F0 |