EXAONE 3.5 7.8B Instruct needs ~9.3 GB VRAM. NVIDIA A10 24GB has 24.0 GB. With Q4_K_M quantization, expect ~98 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
98.4 tok/s
TTFT
1968 ms
Safe context
274K
Memory
9.3 GB / 24.0 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 | 98.4 tok/s | 1074 ms | 274K |
| Coding | C | Runs well | 98.4 tok/s | 1968 ms | 274K |
| Agentic Coding | C | Runs well | 98.4 tok/s | 2863 ms | 274K |
| Reasoning | C | Runs well | 98.4 tok/s | 2326 ms | 274K |
| RAG | C | Runs well | 98.4 tok/s | 3579 ms | 274K |
How EXAONE 3.5 7.8B Instruct (7.800000190734863B params) fits at each quantization level on NVIDIA A10 24GB (24.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.0 GB | Low | C44 |
Q3_K_S | 3 | 3.8 GB | Low | C45 |
NVFP4 | 4 |
Copy-paste commands to run EXAONE 3.5 7.8B Instruct on your machine.
Run
lms load hf-lmstudio-community--exaone-3-5-7-8b-instruct-gguf && lms server startYes, NVIDIA A10 24GB can run EXAONE 3.5 7.8B Instruct with a C grade (Runs well). Expected decode speed: 98.4 tok/s.
EXAONE 3.5 7.8B Instruct (7.800000190734863B parameters) requires approximately 9.3 GB of memory with Q4_K_M quantization.
The recommended quantization for EXAONE 3.5 7.8B Instruct is Q4_K_M, which balances quality and memory efficiency.
On NVIDIA A10 24GB, EXAONE 3.5 7.8B Instruct achieves approximately 98.4 tokens per second decode speed with a time-to-first-token of 1968ms using Q4_K_M quantization.
For coding workloads, EXAONE 3.5 7.8B Instruct on NVIDIA A10 24GB receives a C grade with 98.4 tok/s and 274K context.
On NVIDIA A10 24GB, EXAONE 3.5 7.8B Instruct can safely use up to 274K 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-lmstudio-community--exaone-3-5-7-8b-instruct-gguf-on-a10-24gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
4.4 GB |
| Medium |
| C45 |
Q4_K_M | 4 | 4.8 GB | Medium | C45 |
Q5_K_M | 5 | 5.6 GB | High | C46 |
Q6_K | 6 | 6.4 GB | High | C46 |
Q8_0 | 8 | 8.3 GB | Very High | C47 |
F16Best for your GPU | 16 | 16.0 GB | Maximum | C50 |