Nous Hermes 1.0 needs ~21.3 GB VRAM. NVIDIA A10 24GB has 24.0 GB. With Q4_K_M quantization, expect ~85 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
Tight fit
Decode
85.2 tok/s
TTFT
2271 ms
Safe context
16K
Memory
21.3 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 | A | Runs well | 85.2 tok/s | 1239 ms | 16K |
| Coding | A | Tight fit | 85.2 tok/s | 2271 ms | 16K |
| Agentic Coding | F | Too heavy | 31.7 tok/s | 8890 ms | 16K |
| Reasoning | A | Tight fit | 85.2 tok/s | 2684 ms | 16K |
| RAG | F | Too heavy | 31.7 tok/s | 11112 ms | 16K |
How Nous Hermes 1.0 (9B params) fits at each quantization level on NVIDIA A10 24GB (24.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.5 GB | Low | B65 |
Q3_K_S | 3 | 4.4 GB | Low | B66 |
NVFP4 | 4 | 5.0 GB | Medium | B66 |
Q4_K_M | 4 | 5.5 GB | Medium | B66 |
Q5_K_M | 5 | 6.5 GB | High | B67 |
Q6_K | 6 | 7.4 GB | High | B67 |
Q8_0 | 8 | 9.6 GB | Very High | B69 |
F16Best for your GPU | 16 | 18.5 GB | Maximum | A70 |
Copy-paste commands to run Nous Hermes 1.0 on your machine.
Run
lms load Nous-Hermes-1.0 && lms server startYour hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
 Qwen3-Coder 30B A3B Instruct | 30.5B | S | 70.8 tok/s | |
| Qwen 3.5 27B | 27B | S | 30.7 tok/s | |
| Qwen 3.6 27B | 27B | S | 30.8 tok/s | |
| Qwen3-VL 30B A3B Instruct | 30B | S | 73.2 tok/s | |
| Qwen 3.5 35B A3B | 35B | A | 39.6 tok/s |
Yes, NVIDIA A10 24GB can run Nous Hermes 1.0 with a A grade (Tight fit). Expected decode speed: 85.2 tok/s.
Nous Hermes 1.0 (9B parameters) requires approximately 21.3 GB of memory with Q4_K_M quantization.
The recommended quantization for Nous Hermes 1.0 is Q4_K_M, which balances quality and memory efficiency.
On NVIDIA A10 24GB, Nous Hermes 1.0 achieves approximately 85.2 tokens per second decode speed with a time-to-first-token of 2271ms using Q4_K_M quantization.
For coding workloads, Nous Hermes 1.0 on NVIDIA A10 24GB receives a A grade with 85.2 tok/s and 16K context.
On NVIDIA A10 24GB, Nous Hermes 1.0 can safely use up to 16K tokens of context. The model's official context limit is 16K, 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/nous-hermes-1.0-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: