OpenChat 3.5 7B Qwen v2.0 i1 needs ~7.9 GB VRAM. RTX A4000 16GB has 16.0 GB. With Q4_K_M quantization, expect ~73 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
73.4 tok/s
TTFT
2636 ms
Safe context
174K
Memory
7.9 GB / 16.0 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 | 73.4 tok/s | 1438 ms | 174K |
| Coding | C | Runs well | 73.4 tok/s | 2636 ms | 174K |
| Agentic Coding | C | Runs well | 73.4 tok/s | 3834 ms | 174K |
| Reasoning | C | Runs well | 73.4 tok/s | 3115 ms | 174K |
| RAG | C | Runs well | 73.4 tok/s | 4793 ms | 174K |
How OpenChat 3.5 7B Qwen v2.0 i1 (7B params) fits at each quantization level on RTX A4000 16GB (16.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 2.7 GB | Low | C46 |
Q3_K_S | 3 | 3.4 GB | Low | C47 |
NVFP4 | 4 | 3.9 GB | Medium | C47 |
Q4_K_M | 4 | 4.3 GB | Medium | C48 |
Q5_K_M | 5 | 5.0 GB | High | C48 |
Q6_K | 6 | 5.7 GB | High | C49 |
Q8_0Best for your GPU | 8 | 7.5 GB | Very High | C51 |
F16 | 16 | 14.3 GB | Maximum | F0 |
Copy-paste commands to run OpenChat 3.5 7B Qwen v2.0 i1 on your machine.
Run
lms load hf-mradermacher--openchat-3-5-7b-qwen-v2-0-i1-gguf && lms server startYes, RTX A4000 16GB can run OpenChat 3.5 7B Qwen v2.0 i1 with a C grade (Runs well). Expected decode speed: 73.4 tok/s.
OpenChat 3.5 7B Qwen v2.0 i1 (7B parameters) requires approximately 7.9 GB of memory with Q4_K_M quantization.
The recommended quantization for OpenChat 3.5 7B Qwen v2.0 i1 is Q4_K_M, which balances quality and memory efficiency.
On RTX A4000 16GB, OpenChat 3.5 7B Qwen v2.0 i1 achieves approximately 73.4 tokens per second decode speed with a time-to-first-token of 2636ms using Q4_K_M quantization.
For coding workloads, OpenChat 3.5 7B Qwen v2.0 i1 on RTX A4000 16GB receives a C grade with 73.4 tok/s and 174K context.
On RTX A4000 16GB, OpenChat 3.5 7B Qwen v2.0 i1 can safely use up to 174K 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-mradermacher--openchat-3-5-7b-qwen-v2-0-i1-gguf-on-a4000-16gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview: