EXAONE 3.5 7.8B Instruct needs ~7.8 GB VRAM. Radeon RX 7800M 12GB has 12.0 GB. With Q4_K_M quantization, expect ~54 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
53.6 tok/s
TTFT
3614 ms
Safe context
90K
Memory
7.8 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 | 53.6 tok/s | 1971 ms | 90K |
| Coding | C | Runs well | 53.6 tok/s | 3614 ms | 90K |
| Agentic Coding | C | Runs well | 53.6 tok/s | 5257 ms | 90K |
| Reasoning | C | Runs well | 53.6 tok/s | 4271 ms | 90K |
| RAG | C | Runs well | 53.6 tok/s | 6571 ms | 90K |
How EXAONE 3.5 7.8B Instruct (7.800000190734863B params) fits at each quantization level on Radeon RX 7800M 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 |
Copy-paste commands to run EXAONE 3.5 7.8B Instruct on your machine.
Run
lms load hf-lgai-exaone--exaone-3-5-7-8b-instruct-gguf && lms server startYes, Radeon RX 7800M 12GB can run EXAONE 3.5 7.8B Instruct with a C grade (Runs well). Expected decode speed: 53.6 tok/s.
EXAONE 3.5 7.8B Instruct (7.800000190734863B parameters) requires approximately 7.8 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 Radeon RX 7800M 12GB, EXAONE 3.5 7.8B Instruct achieves approximately 53.6 tokens per second decode speed with a time-to-first-token of 3614ms using Q4_K_M quantization.
For coding workloads, EXAONE 3.5 7.8B Instruct on Radeon RX 7800M 12GB receives a C grade with 53.6 tok/s and 90K context.
On Radeon RX 7800M 12GB, EXAONE 3.5 7.8B Instruct can safely use up to 90K 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-lgai-exaone--exaone-3-5-7-8b-instruct-gguf-on-rx-7800m-12gb" 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 |
| 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 |