EXAONE 3.5 7.8B Instruct i1 needs ~8.1 GB VRAM. RTX A2000 12GB has 12.0 GB. With Q4_K_M quantization, expect ~47 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
47.2 tok/s
TTFT
4101 ms
Safe context
85K
Memory
8.1 GB / 12.0 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 | 47.2 tok/s | 2237 ms | 85K |
| Coding | C | Runs well | 47.2 tok/s | 4101 ms | 85K |
| Agentic Coding | C | Runs well | 47.2 tok/s | 5964 ms | 85K |
| Reasoning | C | Runs well | 47.2 tok/s | 4846 ms | 85K |
| RAG | C | Runs well | 47.2 tok/s | 7456 ms | 85K |
How EXAONE 3.5 7.8B Instruct i1 (7.800000190734863B params) fits at each quantization level on RTX A2000 12GB (12.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.0 GB | Low | C49 |
Q3_K_S | 3 | 3.8 GB | Low | C50 |
NVFP4 | 4 | 4.4 GB | Medium | C51 |
Q4_K_M | 4 | 4.8 GB | Medium | C51 |
Q5_K_M | 5 | 5.6 GB | High | C52 |
Q6_K | 6 | 6.4 GB | High | C52 |
Q8_0Best for your GPU | 8 | 8.3 GB | Very High | C51 |
F16 | 16 | 16.0 GB | Maximum | F0 |
Copy-paste commands to run EXAONE 3.5 7.8B Instruct i1 on your machine.
Run
lms load hf-mradermacher--exaone-3-5-7-8b-instruct-i1-gguf && lms server startYes, RTX A2000 12GB can run EXAONE 3.5 7.8B Instruct i1 with a C grade (Runs well). Expected decode speed: 47.2 tok/s.
EXAONE 3.5 7.8B Instruct i1 (7.800000190734863B parameters) requires approximately 8.1 GB of memory with Q4_K_M quantization.
The recommended quantization for EXAONE 3.5 7.8B Instruct i1 is Q4_K_M, which balances quality and memory efficiency.
On RTX A2000 12GB, EXAONE 3.5 7.8B Instruct i1 achieves approximately 47.2 tokens per second decode speed with a time-to-first-token of 4101ms using Q4_K_M quantization.
For coding workloads, EXAONE 3.5 7.8B Instruct i1 on RTX A2000 12GB receives a C grade with 47.2 tok/s and 85K context.
On RTX A2000 12GB, EXAONE 3.5 7.8B Instruct i1 can safely use up to 85K 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--exaone-3-5-7-8b-instruct-i1-gguf-on-a2000-12gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview: