Yi 34B Chat needs ~30.1 GB VRAM. RTX A6000 48GB has 48.0 GB. With Q4_K_M quantization, expect ~31 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
30.6 tok/s
TTFT
6336 ms
Safe context
94K
Memory
30.1 GB / 48.0 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 | C | Runs well | 30.6 tok/s | 3456 ms | 94K |
| Coding | C | Runs well | 30.6 tok/s | 6336 ms | 94K |
| Agentic Coding | C | Runs well | 30.6 tok/s | 9216 ms | 94K |
| Reasoning | C | Runs well | 30.6 tok/s | 7488 ms | 94K |
| RAG | C | Runs well | 30.6 tok/s | 11520 ms | 94K |
How Yi 34B Chat (34B params) fits at each quantization level on RTX A6000 48GB (48.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 13.3 GB | Low | C46 |
Q3_K_S | 3 | 16.7 GB | Low | C47 |
NVFP4 | 4 | 19.0 GB | Medium | C47 |
Q4_K_M | 4 | 20.7 GB | Medium | C48 |
Q5_K_M | 5 | 24.5 GB | High | C49 |
Q6_K | 6 | 27.9 GB | High | C50 |
Q8_0Best for your GPU | 8 | 36.4 GB | Very High | C49 |
F16 | 16 | 69.7 GB | Maximum | F0 |
Copy-paste commands to run Yi 34B Chat on your machine.
Run
lms load Yi-34B-Chat && lms server startYes, RTX A6000 48GB can run Yi 34B Chat with a C grade (Runs well). Expected decode speed: 30.6 tok/s.
Yi 34B Chat (34B parameters) requires approximately 30.1 GB of memory with Q4_K_M quantization.
The recommended quantization for Yi 34B Chat is Q4_K_M, which balances quality and memory efficiency.
On RTX A6000 48GB, Yi 34B Chat achieves approximately 30.6 tokens per second decode speed with a time-to-first-token of 6336ms using Q4_K_M quantization.
For coding workloads, Yi 34B Chat on RTX A6000 48GB receives a C grade with 30.6 tok/s and 94K context.
On RTX A6000 48GB, Yi 34B Chat can safely use up to 94K tokens of context. The model's official context limit is 200K, 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-34b-chat-on-a6000-48gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
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