Llama 3.1 8B needs ~9.6 GB VRAM. NVIDIA A2 16GB has 16.0 GB. With Q4_K_M quantization, expect ~34 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
34.4 tok/s
TTFT
5634 ms
Safe context
68K
Memory
9.6 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 | A | Runs well | 34.4 tok/s | 3073 ms | 68K |
| Coding | A | Runs well | 34.4 tok/s | 5634 ms | 68K |
| Agentic Coding | A | Runs well | 34.4 tok/s | 8194 ms | 68K |
| Reasoning | A | Runs well | 34.4 tok/s | 6658 ms | 68K |
| RAG | A | Runs well | 34.4 tok/s | 10243 ms | 68K |
How Llama 3.1 8B (8B params) fits at each quantization level on NVIDIA A2 16GB (16.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.1 GB | Low | B68 |
Q3_K_S | 3 | 3.9 GB | Low | B69 |
NVFP4 | 4 |
Copy-paste commands to run Llama 3.1 8B on your machine.
Run
ollama run llama3.1Your hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
| 9B | S | 30.5 tok/s | ||
| 14B | S | 19.7 tok/s |
Yes, NVIDIA A2 16GB can run Llama 3.1 8B with a A grade (Runs well). Expected decode speed: 34.4 tok/s.
Llama 3.1 8B (8B parameters) requires approximately 9.6 GB of memory with Q4_K_M quantization.
The recommended quantization for Llama 3.1 8B is Q4_K_M, which balances quality and memory efficiency.
On NVIDIA A2 16GB, Llama 3.1 8B achieves approximately 34.4 tokens per second decode speed with a time-to-first-token of 5634ms using Q4_K_M quantization.
For coding workloads, Llama 3.1 8B on NVIDIA A2 16GB receives a A grade with 34.4 tok/s and 68K context.
On NVIDIA A2 16GB, Llama 3.1 8B can safely use up to 68K tokens of context. The model's official context limit is 128K, 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/llama-3.1-8b-on-a2-16gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
4.5 GB |
| Medium |
| B69 |
Q4_K_M | 4 | 4.9 GB | Medium | B70 |
Q5_K_M | 5 | 5.8 GB | High | A71 |
Q6_K | 6 | 6.6 GB | High | A71 |
Q8_0Best for your GPU | 8 | 8.6 GB | Very High | A72 |
F16 | 16 | 16.4 GB | Maximum | F0 |
| 14.7B | S | 18.7 tok/s |
| 21B | A | 17.4 tok/s |
| 14B | A | 19.6 tok/s |