Yi 1.5 6B Chat needs ~6.4 GB VRAM. RTX 2060 Super 8GB has 8.0 GB. With Q4_K_M quantization, expect ~71 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
71.0 tok/s
TTFT
2727 ms
Safe context
53K
Memory
6.4 GB / 8.0 GB
This setup is broadly balanced for this model.
Older PCIe generation
PCIe 3.0 is workable, but it compounds the penalty when you offload heavily or try to scale across multiple cards.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | B | Runs well | 71.0 tok/s | 1487 ms | 53K |
| Coding | B | Runs well | 71.0 tok/s | 2727 ms | 53K |
| Agentic Coding | C | Tight fit | 71.0 tok/s | 3967 ms | 53K |
| Reasoning | B | Runs well | 71.0 tok/s | 3223 ms | 53K |
| RAG | C | Tight fit | 71.0 tok/s | 4958 ms | 53K |
How Yi 1.5 6B Chat (6B params) fits at each quantization level on RTX 2060 Super 8GB (8.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 2.3 GB | Low | C52 |
Q3_K_S | 3 | 2.9 GB | Low | C53 |
NVFP4 | 4 | 3.4 GB | Medium | C53 |
Q4_K_M | 4 | 3.7 GB | Medium | C53 |
Q5_K_M | 5 | 4.3 GB | High | C53 |
Q6_KBest for your GPU | 6 | 4.9 GB | High | C53 |
Q8_0 | 8 | 6.4 GB | Very High | F0 |
F16 | 16 | 12.3 GB | Maximum | F0 |
Copy-paste commands to run Yi 1.5 6B Chat on your machine.
Run
lms load hf-bartowski--yi-1-5-6b-chat-gguf && lms server startYes, RTX 2060 Super 8GB can run Yi 1.5 6B Chat with a B grade (Runs well). Expected decode speed: 71.0 tok/s.
Yi 1.5 6B Chat (6B parameters) requires approximately 6.4 GB of memory with Q4_K_M quantization.
The recommended quantization for Yi 1.5 6B Chat is Q4_K_M, which balances quality and memory efficiency.
On RTX 2060 Super 8GB, Yi 1.5 6B Chat achieves approximately 71.0 tokens per second decode speed with a time-to-first-token of 2727ms using Q4_K_M quantization.
For coding workloads, Yi 1.5 6B Chat on RTX 2060 Super 8GB receives a B grade with 71.0 tok/s and 53K context.
On RTX 2060 Super 8GB, Yi 1.5 6B Chat can safely use up to 53K tokens of context. The model's official context limit is —, 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/hf-bartowski--yi-1-5-6b-chat-gguf-on-rtx-2060-super-8gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview: