Nous Hermes 1.0 needs ~21.3 GB VRAM. RTX A5500 24GB has 24.0 GB. With Q4_K_M quantization, expect ~109 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
109.1 tok/s
TTFT
1774 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 | 109.1 tok/s | 968 ms | 16K |
| Coding | A | Tight fit | 109.1 tok/s | 1774 ms | 16K |
| Agentic Coding | F | Too heavy | 40.5 tok/s | 6945 ms | 16K |
| Reasoning | A | Tight fit | 109.1 tok/s | 2097 ms | 16K |
| RAG | F | Too heavy | 40.5 tok/s | 8681 ms | 16K |
How Nous Hermes 1.0 (9B params) fits at each quantization level on RTX A5500 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 |
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 | 90.6 tok/s | |
| Qwen 3.5 27B | 27B | S | 39.3 tok/s |
Yes, RTX A5500 24GB can run Nous Hermes 1.0 with a A grade (Tight fit). Expected decode speed: 109.1 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 RTX A5500 24GB, Nous Hermes 1.0 achieves approximately 109.1 tokens per second decode speed with a time-to-first-token of 1774ms using Q4_K_M quantization.
For coding workloads, Nous Hermes 1.0 on RTX A5500 24GB receives a A grade with 109.1 tok/s and 16K context.
On RTX A5500 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-rtx-a5500-24gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
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 |
| Qwen 3.6 27B | 27B | S | 39.4 tok/s |
| Qwen3-VL 30B A3B Instruct | 30B | S | 93.7 tok/s |
| Qwen 3.5 35B A3B | 35B | A | 50.7 tok/s |