Can it run?
Runs well
Using Q4_K_M in llama.cpp
Fit status
Runs well
Decode
33.3 tok/s
TTFT
5809 ms
Safe context
24K
Memory
31.8 GB / 48.0 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | C | Runs well | 38.0 tok/s | 7419 ms | 41K |
| Chat | C | Runs well | 38.0 tok/s | 2782 ms | 13K |
| Coding | C | Runs well | 33.3 tok/s | 5809 ms | 24K |
| RAG | C | Runs well | 38.0 tok/s | 9274 ms | 41K |
| Reasoning | C | Runs well | 38.0 tok/s | 6028 ms | 24K |
How Yi 34B Chat (34B params) fits at each quantization level on RTX 6000 Ada 48GB (48.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 13.3 GB | Low | D35 |
Q3_K_S | 3 | 16.7 GB | Low | D37 |
NVFP4 | 4 |
ollama run yi-34b-chathuggingface-cli download yi-34b-chat19.0 GB |
| Medium |
| D38 |
Q4_K_M | 4 | 20.7 GB | Medium | D38 |
Q5_K_M | 5 | 24.5 GB | High | C40 |
Q6_K | 6 | 27.9 GB | High | C42 |
Q8_0Best for your GPU | 8 | 36.4 GB | Very High | C44 |
F16 | 16 | 69.7 GB | Maximum | F0 |